US20130085929A1 - Systems and methods for managing and making patent annuity payments - Google Patents
Systems and methods for managing and making patent annuity payments Download PDFInfo
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- US20130085929A1 US20130085929A1 US13/553,572 US201213553572A US2013085929A1 US 20130085929 A1 US20130085929 A1 US 20130085929A1 US 201213553572 A US201213553572 A US 201213553572A US 2013085929 A1 US2013085929 A1 US 2013085929A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
- G06F16/24578—Query processing with adaptation to user needs using ranking
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
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- G06F16/2455—Query execution
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
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- G—PHYSICS
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
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Definitions
- annuity payment providers can make large sums on currency conversion. That is, they typically convert for example dollars to euros for example when paying a European Patent Office (EPO) annuity fee, and charge more than the commercial exchange rate—typically 6 to 25 percent more than going rate.
- EPO European Patent Office
- This markup is typically justified by the provider as compensation for volatility in currency markets. In the eyes of a patent manager, for example, the markup can unduly add to the maintenance costs of a patent estate.
- the inventor has recognized that one solution to this problem can include a payment infrastructure that can support a more economical way to price and convert currency using forward contracts.
- the price of a forward contract is the cost of the currency on the day the contract is purchased, plus the cost of interest to hold the currency until it is delivered. This could be as little as 1% in interest cost, as compared to a 6% to 25% mark up.
- Other components of the contract cost or price can include currency conversion charges, or bank service charges.
- This disclosure relates to systems and methods for making or managing patent annuity payments.
- an annuity payment management system comprises at least one hardware-implemented module including at least one processor to track one or more patent annuity payments due on at least one patent for a user; docket a due date for at least one of the annuity payments; in advance of the due date, identify the cost of a forward contract to obtain or purchase currency equal to a total amount payable on the at least one annuity payment; and provide the cost of the forward contract to the user.
- the at least one processor may be further to receive, in response to providing the cost of the forward contract, annuity payment instructions from the user.
- the at least one processor may be further to pay, or arrange to have paid, at least one annuity payment based on the received instructions.
- the at least one annuity payment may be due on a foreign patent and the currency may be a foreign currency.
- the due date of the at least one annuity payment may fall within a specified period, and the cost identification may occur on a date in advance of the specified period.
- the at least one processor may be further to receive data identifying one or both of the specified period and the cost identification date from the user.
- the at least one processor may be further to apportion at least one component of the cost of the forward contract across a plurality of tracked annuity payments.
- the component may be one or more of an interest charge, a currency conversion charge, and a bank or service charge relating to at least one aspect of the forward contract.
- the apportionment may be performed pro-rata based on a base cost of each annuity payment.
- an annuity payment management system comprises at least one hardware-implemented module including at least one processor to allow a user to register with the system and to identify at least one patent on which an annuity is payable; generate, synchronize or receive annuity tracking data relating to the at least one patent, the tracking data including a due date of the annuity payment; identify, in a first currency, the amount payable on the annuity payment; price, in advance of the due date and using forward contract rates from a participating bank, a forward contract for obtaining currency to have the annuity payment paid in a second currency; and provide the contract pricing to the user or a third party.
- the at least one processor may be further to receive, in response to providing the contract pricing, annuity payment instructions from the user or the third party.
- the at least one processor may be further to pay, or facilitate payment of, the annuity payment based on the received instructions.
- the at least one processor may be further to facilitate receipt, from the user or the third party and in the first currency, funds at least including the amount payable on the annuity payment; and pay, or facilitate payment of, the annuity payment in the second currency.
- the tracking data may include data received from a third party annuity service, or a patent office.
- the annuity payment may be included in a batch of annuity payments due in a specified period, and the forward contract may include at least a total amount due for all the annuity payments in the batch. At least a portion of an interest or service charge included in the forward contract may be apportioned across the batch of annuity payments. The apportionment may be performed pro-rata based on a base cost of each annuity payment in the batch.
- the third party may be an annuity payment service provider.
- the at least one processor may be further to dynamically quote the contract pricing to the user or third party in advance of the due date.
- an annuity payment management system comprises a network; at least one database, accessible on the network, the database including data relating to annuity payments due on patents or applications registered at a patent office; a server, operatively connected to the network, wherein the server includes a processor, a memory, software operable on the processor to track one or more patent annuity payments due on at least one patent in the database; docket a due date for at least one of the annuity payments; in advance of the due date, identify the cost of a forward contract to obtain or purchase currency equal to a total amount payable on the at least one annuity payment; and provide the cost of the forward contract to a user.
- an annuity payment management system comprises a network; at least one database, accessible on the network, the database including data relating to annuity payments due on patents or applications registered at a patent office; a server, operatively connected to the network, wherein the server includes a processor, a memory, software operable on the processor to allow a user to register with the system and to identify at least one patent on which an annuity is payable.
- an annuity payment management system may generate, synchronize or receive annuity tracking data relating to the at least one patent, the tracking data including a due date of the annuity payment; identify, in a first currency, the amount payable on the annuity payment; price, in advance of the due date and using forward contract rates for obtaining currency to have the annuity payment paid in a second currency; and provide the contract pricing to the user or a third party.
- FIG. 1 is a schematic view of a computer network system, according to various embodiments.
- FIG. 2 is a user interface, as may be used in an example embodiment.
- FIG. 3 is a block diagram of a system, according to example embodiments.
- FIGS. 4A-4B are flow charts showing methods, according to example method embodiments.
- FIG. 5 is a block diagram of a machine in the example form of a computer system within which a set of instructions may be executed for causing the machine to perform any one or more of the methodologies herein discussed.
- the life cycle of a patent may include multiple stages. These stages generally include invention, filing a patent application on the invention, prosecuting the patenting application to allowance or abandonment, determining whether to file any continuing applications, and paying maintenance fees on the allowed patent.
- one or more parties determine the best course of action to take with respect to the invention. For example, when determining whether or not to file a patent, the inventor may know what products are out in the technology area of the invention, a business manager may know how the invention fits in with a company's goals, and a patent attorney may have researched existing patents or applications in the technology area of the patent. These parties will ultimately decide whether it is worth the initial investment of filing an application on the invention and then determine the next course of action at each future stage.
- an inventor, business manager, or portfolio manager may wish to monitor the patent activities of one or more competitors.
- the provision of up-to-date information relating to cited references or technology trends in the art to which a user's or competitor's patent portfolio relates may be particularly helpful in devising patenting strategy or making informed business decisions.
- a patent management system includes tools to help the parties involved in the patenting process make decisions at each stage in the life of a patent. These tools may also be used for general research by parties not immediately involved with the patenting of the invention. These tools may be used as standalone tools, in combination with other tools, and in combination with other patent management systems. Examples of tools include, but are not limited to, prosecution analytics, patent and patent continuation analysis, reference management, prior art analytics, docketing management, claim mapping, claim analytics, portfolio analytics, external database (e.g., Patent Application Information Retrieval “PAIR”) analytics, annuity management, strategic monitoring, and a white space indicator.
- PAIR Patent Application Information Retrieval
- a “user” or “registered user” may also be an annuity payment service provider such as Computer Packages, Inc (CPI) or Computer Patent Annuities (CPA), for example.
- CPI Computer Packages, Inc
- CPA Computer Patent Annuities
- annuity fees can sometimes be used to refer to payments required to renew granted patents
- maintenance fees can sometimes be used to refer to payments required to maintain pending patent applications.
- annuity fees and maintenance fees are used interchangeably and refer to any kind of payment required to keep a patent or patent application (or other intellectual property right) in force.
- FIG. 1 is a schematic view of computer network system 100 according to various embodiments.
- the computer network system 100 includes a patent portfolio and annuity management system 102 (also called a portfolio management system 102 , or annuity management system 102 ) and user terminal 104 , communicatively coupled via network 106 .
- patent portfolio and annuity management system 102 includes web server 108 , application server 110 , database management server 114 , which is used to manage at least operations database 116 , and file server 118 .
- Patent portfolio and annuity management system 102 may be implemented as a distributed system; for example, one or more elements of the patent portfolio and annuity management system 102 may be located across a wide area network (WAN) from other elements of patent portfolio and annuity management system 102 .
- a server e.g., web server 108 , file server 118 , database management server 114
- Network 106 may include local area networks (LANs), WANs, wireless networks (e.g., 802.11 or cellular network), the Public Switched Telephone Network (PSTNs) network, ad hoc networks, personal area networks (e.g., Bluetooth) or other combinations or permutations of network protocols and network types.
- the network 106 may include a single LAN or WAN, or combinations of LANs or WANs, such as the Internet.
- the various devices coupled to network 106 may be coupled to network 106 via one or more wired or wireless connections.
- Web server 108 may communicate with file server 118 to publish or serve files stored on file server 118 .
- Web server 108 may also communicate or interface with the application server 110 to enable web-based presentation of information.
- application server 110 may provide scripts, applications, or library files that provide primary or auxiliary functionality to web server 108 (e.g., multimedia, file transfer, or dynamic interface functions).
- application server 110 may also provide some or the entire interface for web server 108 to communicate with one or more of the other servers in the patent portfolio and annuity management system 102 (e.g., database management server 114 ).
- Web server 108 either alone or in conjunction with one or more other computers in patent portfolio and annuity management system 102 , may provide a user-interface.
- the user-interface may be implemented using a variety of programming languages or programming methods, such as HTML (HyperText Markup Language), VBScript (Visual Basic® Scripting Edition), JavaScriptTM, XML® (Extensible Markup Language), XSLTTM (Extensible Stylesheet Language Transformations), AJAX (Asynchronous JavaScript and XML), JavaTM, JFC (JavaTM Foundation Classes), and Swing (an Application Programming Interface for JavaTM)
- HTML HyperText Markup Language
- VBScript Visual Basic® Scripting Edition
- JavaScriptTM JavaScriptTM
- XML® Extensible Markup Language
- XSLTTM Extensible Stylesheet Language Transformations
- AJAX Asynchronous JavaScript and XML
- JavaTM JavaTM
- JFC JavaTM Foundation Classes
- Swing an Application Programming Interface for JavaTM
- User terminal 104 may be a personal computer (PC) or mobile device.
- user terminal 104 includes a client program to interface with the patent portfolio and annuity management system 102 .
- the client program may include commercial software, custom software, open source software, freeware, shareware, or other types of software packages.
- the client program includes a thin client designed to provide query and data manipulation tools for a user of user terminal 104 .
- the client program may interact with a server program hosted by, for example, application server 110 . Additionally, the client program may interface with database management server 114 .
- Operations database 116 may be composed of one or more logical or physical databases.
- operations database 116 may be viewed as a system of databases, which when viewed as a compilation, represent an “operations database.”
- Sub-databases in such a configuration may include a matter database, portfolio database, user database, patent reference document or prior art database, product database, watch database, and mapping database.
- the operations database 116 or any one of the sub-databases may include a registry of patent matters.
- Operations database 116 may be implemented as a relational database, a centralized database, a distributed database, an object-oriented database, or a flat database in various embodiments.
- Data stored in a first database may be associated with data in a second database through the use of common data fields. For example, consider entries in the patent database formatted as [Patent ID, Patent Number] and entries in the product database formatted as [Product ID, Product Name, Patent ID]. In this manner, a product entry in the product database is associated with a patent in the patent database through the Patent ID data field.
- a product may be associated with more than one patent by creating multiple entries in the product database (e.g., one for each patent the product is associated with).
- one or more patent reference document may be associated with a patent by creating multiple entries in the patent database, for example.
- the formats and data field titles are for illustration purposes, and other names and formats may be used. Additionally, further associations between data stored in the databases may be created as discussed further herein.
- Internal sources may include data from portfolio management and annuity payment services affiliated with patent portfolio and annuity management system 102 .
- External sources 120 may include websites or databases associated with foreign and domestic patent offices (e.g., PAIR at the United States Patent and Trademark Office “USPTO”), assignment databases, World Intellectual Property Organization (“WIPO”), and International Patent Documentation Center (“INPADOC”).
- PAIR at the United States Patent and Trademark Office
- WIPO World Intellectual Property Organization
- INPADOC International Patent Documentation Center
- annuity amounts due and annuity due dates for patent matters listed in a registry database are drawn directly from such data stored at a national patent office in electronic form.
- the data is scraped and parsed from websites if it is unavailable through a database.
- the data may be gathered using API calls to the sources when available.
- the data may be imported and stored in the operations database 116 on a scheduled basis, such as weekly, monthly, quarterly, or some other regular or periodic interval. Alternatively, the data may be imported on-demand.
- the data may be standardized into a common format.
- database records from internal or external sources 120 may not be in a compatible format with the operations database 116 .
- Data conditioning may include data rearrangement, normalization, filtering (e.g., removing duplicates), sorting, binning, or other operations to transform the data into a common format (e.g., using similar date formats and name formats).
- FIG. 2 is an example user interface 200 of patent portfolio and annuity management system 102 ( FIG. 1 ).
- User interface 200 is illustrated with multiple user interface elements.
- a user interface element is a graphical or textual element with which a user may interact to cause an application to perform an assigned action for the interface element.
- Data representing user interface 200 may be transmitted via network 106 and presented on a display of user terminal 104 ( FIG. 1 ) through the use of a web browser.
- a user e.g., manager of a patent portfolio
- an input device e.g., stylus, cursor, mouse, finger
- a user selection is based on the coordinates of the input device as it makes contact with the display or where a user “clicks” the mouse.
- the coordinates are compared to the coordinates of the user input element to determine the selection.
- the type of user elements, names, and layout depicted in FIG. 2 are intended to be an illustration of an example user interface of patent portfolio and annuity management system 102 . Other types of user elements, names, and layouts may be used.
- the user interface elements may include my matters 202 , patent watches 204 , company watches 206 , patent analysis 207 , and tag matters 209 . These elements may be used to select a context/view of the portfolio and annuity management system 102 ( FIG. 1 ).
- my matters 202 may list the patents included within a portfolio of a user, or list patent matters tagged for renewal by a user of an annuity registry database included, for example, in an operations database 116 ( FIG. 1 ) of the type described above.
- Patent watches 204 may list information on patents that the user has indicated the management system 102 is to watch, and company watches 206 lists information on companies that the user has indicated the annuity management system should watch.
- Patent analysis 207 may allow a user to perform analysis on selected patent or patent continuation matters.
- Tag matters 209 may be selected to allow a user to tag or identify patent matters for management or payment of annuity fees. Further details of each of these are included herein.
- Date boxes 208 and 210 are user elements that allow a user to select a time period, for example to select a display of patents having annuity fees due in that time period.
- Amount due box 212 displays the amount due with respect to annuities for patents in the portfolio of the user, or tagged or listed in a registry, within the period indicated by date boxes 208 and 210 .
- a user may be presented with a calendar, which allows the selection of a date.
- the date boxes 208 and 210 will update to reflect the user's choice.
- Drop-down menu 214 includes a list of portfolios or registry listings that a user of the patent portfolio and annuity management system 102 ( FIG. 1 ) is authorized to view. For example, before user interface 200 is displayed, a login screen requesting a user ID and password may be presented to the user. In various embodiments, the user ID is associated with one or more portfolios. In turn, each portfolio is associated with one or more matters. Matters may include US and foreign issued patents (including divisionals, continuations and so forth), pending patents, abandoned patents, and not yet filed applications. Thus, upon selection of a portfolio using drop-down menu 214 , user interface 200 is populated with matters associated with the portfolio or registry listing.
- Checkbox 216 is an option to only display matters that currently have an annuity due.
- Drop-down menu 218 allows further filtering of matters. For example, the matters may be filtered by US patents only, by US patent applications, and by foreign applications only.
- activation of button 220 updates user interface 200 to reflect the choices made by the user with respect to date boxes 208 and 210 , checkbox 216 , and drop-down menu 218 .
- the amount due box 212 will be updated to reflect the amount due within the new period, and the matters listed under column headings 222 may be filtered.
- user interface 200 is updated as the user selections are made with respect to elements 208 to 218 without activating button 220 .
- FIG. 3 is a block diagram of patent portfolio and annuity management system 102 ( FIG. 1 ), according to an example embodiment. Illustrated are user database 302 , portfolio database 304 , matter database 306 , watch database 308 , product database 310 , analytics database 312 , input module 314 , parsing module 316 , analytics module 318 , display module 320 , filtering module 322 , mapping module 324 , and payment module 326 .
- the data stored in databases 302 , 304 , 306 , 308 , 310 , and 312 may be in the same or multiple physical locations.
- portfolio database 304 may be located in one or more computers associated with a portfolio management service.
- patent portfolio and annuity management system 102 may mirror databases stored in other locations. In an embodiment, when a request is made to access data stored in the databases, patent portfolio and annuity management system 102 determines where the data is located and directs the request to the appropriate location.
- user database 302 stores data representing users of patent portfolio and annuity management system 102 ( FIG. 1 ).
- the data may represent authorized or registered users that are registered to use the patent matter registry database, for example.
- the data may include data fields of user credentials, including a user ID and password, and access rights with respect to the management system 102 .
- the user ID may be the same as the user ID of other systems associated with patent portfolio and annuity management system 102 .
- the user ID may be used in a portfolio management system 102 . In this manner, access rights of the user with respect to the portfolio management part of the system 102 may follow to the annuity management part of the system.
- each user ID is associated with one or more portfolio IDs.
- the user when a user logs into the patent portfolio and annuity management system 102 , the user is presented with access to only the portfolios that have been associated with that user ID. More or fewer data fields associated with a user may be included in a user entry stored in user database 302 .
- Portfolio database 304 stores data representing portfolios of one or more matters.
- a matter may include foreign or domestic issued patents in addition to applications.
- Data stored in portfolio database 304 may have been initially generated in a portfolio management system and imported into patent portfolio and annuity management system 102 through the use of one or more API calls or direct access to the data in the portfolio management system 102 .
- a portfolio may be generated by a user using the patent portfolio and annuity management system 102 .
- a user interface may be presented to the user requesting a portfolio name and the identifiers of matters to be included in the portfolio.
- a portfolio entry in portfolio database 304 includes the data fields of portfolio ID and portfolio name.
- a data field for matter ID may also be included in an entry in the portfolio database 304 .
- each portfolio may be associated with one or more matters through the use of the matter ID data field. More or fewer data fields associated with a portfolio may be included in a portfolio entry of portfolio database 304 .
- matter database 306 stores data representing matters. Each matter may be associated with one or more portfolios as well as one or more watches. In some embodiments, a matter is associated with no portfolios or watches.
- a matter entry includes data fields representing a matter ID, title (e.g., the name of the patent or application), type of the matter (e.g., application, issued patent, Patent Cooperation Treaty “PCT” application), status of the matter (e.g., issued, abandoned, allowed), a link to the patent office where the matter was filed, a link to a PDF download of the matter, abstract of the matter, inventors of the matter, current owner of the matter, cited references on the face of the matter, filed date, issue date, docket number, and annuity information (e.g., due date, country, and amount due).
- a matter ID e.g., the name of the patent or application
- type of the matter e.g., application, issued patent, Patent Cooperation Treaty “PCT” application
- status of the matter e
- patent reference documents or prior art in any form may be stored and associated with one or more matters. More or fewer data fields associated with a patent may be included in a matter entry stored in matter database 306 .
- matter database 306 may store a patent matter database, wherein this database includes data about the patent matters. The data may include, for at least one patent matter, a claim set or statement of invention and a priority date for the claim set or statement of invention. Matter database 306 may also store a database of prior art documents (also known as “references”), wherein the prior art database includes data about the prior art documents. The data may include, for at least one prior art document, a priority date or publication date of the document. One or more of the prior art documents may be associated with a first patent matter in the patent matter database.
- a matter is associated with one or more other matters as a family with a family ID.
- Family members may be priority documents, continuation patents/applications, divisional patents/applications, and foreign patent/application counterparts.
- family information is determined according to an external source such as INPADOC.
- Patent reference documents and/or other prior art may be manually or automatically stored, cross-cited, and associated with related family matters, for example.
- watch database 308 stores data representing user preferences with respect to objects that the user wants to track (e.g., watch).
- an object is a company or a matter.
- a user may indicate a preference to track the matter for any forward citations within a time period (e.g., 60 days, 3 months, etc.).
- watch database 308 may store entries with a watch ID that is associated with a user ID and a matter ID.
- a user may indicate a preference to watch for publications or issued patents with an associated time period.
- watch database 308 may store entries with a watch ID, a user ID, and a company name.
- the watches are user ID-specific such that no matter which profile the user is viewing, the watches do not change.
- product database 310 stores data representing products.
- the products may be actual products manufactured by the user, products yet to be released, planned products, products covered in a licensing agreement, or a fictional product.
- product database 310 stores entries with a product ID and product name which are associated with a user ID.
- a user may tag a product as associated with a matter.
- an entry in the product database 310 may also be associated with a matter ID.
- one or more products stored in the product database 310 may be mapped to one or more matters stored in the matter database 306 .
- analytics database 312 stores data representing information on matters and companies associated with patent portfolio and annuity management system 102 ( FIG. 1 ). This information may be organized according to an individual matter, a portfolio, a family, or company. The information may be gathered from internal or external sources 120 of patent portfolio and annuity management system 102 or may be generated by examining the data stored in one or more databases of the management system 102 .
- information for an individual matter may include status (e.g., disclosure received, drafting, filed, completed-waiting examination, in prosecution, allowed, issued), cited prior art, list and type of rejections (e.g., 35 U.S.C. ⁇ 101, 102, 103), number of claims allowed, office action count, interviews held, Information Disclosure Statements (“IDS's”) filed, attorney fees to date, and PTO fees to date.
- Further metrics for an individual matter stored in analytics database 312 may include time waiting for examiner, total time in examination, time waiting for PTO while in examination, and time on appeal.
- An additional prosecution details formatter may include upcoming docket dates (e.g., due dates for office action, IDS due dates, etc.).
- a claim prosecution history chart may also be stored in analytics database 312 for each matter.
- the prosecution history may include a history of claim amendments and arguments made in prosecution.
- analytics for an individual matter may also include data representing a claim chart.
- the claim chart may include one or more scope concepts on one axis and claims on the other axis.
- a scope concept is a textual description of what a patent claim is at least limited to.
- a claim comprises A, B, and C
- a scope concept may be A.
- a scope concept for the claim may be broader than A because the claim will still be limited to the broader scope concept.
- the claim charts store mappings between claims and scope concepts.
- the claim chart may include a variety of levels of granularity of scope concepts. Some claims may be mapped to all of the scope concepts while others may not be mapped to any scope concepts.
- mappings may have already been generated in a program external to the management system 102 ( FIG. 1 ) (e.g., a portfolio mapping system).
- claim charts may be combined at the portfolio level.
- a portfolio level chart may include scope concepts for all the claims (or, in some examples, only the independent claims) in the portfolio.
- portfolio and family analytics information may be stored in analytics database 312 based on aggregating the metrics for an individual matter.
- the analytics of a family may differ from those in a portfolio since not all family member matters may be part of a portfolio. Additionally, the analytics may be stored for multiple time periods such that comparisons may be made between current metrics and metrics from a year ago (or other time period).
- Aggregated metrics may include total patents and applications, pending and waiting for examination, in prosecution with no claims allowed, in prosecution with some claims allowed, appealed, notice of allowance received, and issued. These metrics may be compiled for both US and international matters in the portfolio. Additional information may include the international portfolio distribution by country. An age distribution of the portfolio may also be compiled. For example, the portfolio may be broken down by less than one year old, 1 to 3 years old, 3 to 5 years old, 5 to 10 years old, 10 to 20 years old, and 20 or more years old. Recent filing and issue activity as well as upcoming foreign filing deadlines may be stored in analytics database 312 .
- prosecution metrics across a portfolio or family are determined and stored in analytics database 312 .
- This data may include matters waiting for examination, matters in examination, matters appealed, and cases allowed but not yet issued.
- Analytics with respect to office actions may also be compiled and stored. For example, success of allowance after a first office action response, a second response, and the like, may be stored in analytics database 312 .
- Additional prosecution analytics may include allowance rate (e.g., 10%) after a telephone interview, allowance after an in-person interview, percentage of interviews with response, number and type of rejections, average time in prosecution (e.g., in months), average time to file a response, and average time to next office action.
- the list of recently allowed cases, recently appealed cases, stalled cases, and recently abandoned cases may also be stored for each portfolio and family in analytics database 312 .
- data stored in the database 312 for a group of matters in a portfolio or family is analyzed to determine the top (e.g., ten) most cited patents, top most cited inventors, top most cited prior art owners (e.g., according to assignment documents or the face of the patent), newly (e.g., within the last 60 days) cited prior art owners, and top most cited prior art inventors.
- This information may be stored in analytics database 312 .
- annuity cost information regarding cost projections for both US issued patents and international patents may also be stored. Upcoming foreign filing deadlines with respect to annuities may also be stored in analytics database 312 .
- the results of keyword analysis on one or more matters and/or prior art references may be stored in analytics database 312 .
- the keyword analysis may be based on the occurrences of the keywords in the matter or references to derive a score or keyword overlap.
- input module 314 receives data from multiple sources where it may be further processed by one or more other modules and stored in one or more of databases 302 - 312 .
- input module 314 may be configured to utilize one or more APIs to collect data from one or more external sources 120 ( FIG. 1 ) (e.g., public PAIR, private PAIR, INPADOC, foreign patent offices, patent docketing systems, portfolio management systems, etc.).
- the data may include published patent documents (for example, published claims of a patent), issued patent documents (for example, granted claims of a patent), patent applications, office actions or other patent office correspondence, prior art references, claim mappings, dockets dates, and annuity payment data.
- input module 314 is configured to receive input from one or more user interface elements.
- the patent portfolio and annuity management system 102 may present multiple user interfaces to users. These user interfaces may enable users to input data directly into databases 302 - 312 , instruct the management system 102 to retrieve data from patent data stores, and instruct the management system 102 to perform various operations on the data in databases 302 - 312 .
- input module 314 may be configured to determine the selection of one or more user interface elements by a user and initiate the action associated with the selected user interface element.
- a user interface element may include a drop-down menu to select a portfolio.
- Input module 314 may be configured to receive a selection of the portfolio and a drop-down menu. Then, input module 314 may pass the selection to one or more other modules for further processing. For example, display module 320 may update the drop-down menu to indicate the selection of a portfolio.
- parsing module 316 takes the data that has initially been inputted by input module 314 and formats it according to the data fields of databases 302 - 312 as discussed above. For example, consider a patent publication that has been inputted by input module 314 . Parsing module 316 may use a combination of automatic image recognition and text analysis to determine the filing date, issue date, title, abstract, and claims of the patent. In some embodiments, parsing module 316 may flag certain pieces of data that had been determined to be potentially inaccurate (e.g., a number that could not be read). A user of patent portfolio and annuity management system 102 may then examine the flagged data and manually enter in the information.
- parsing module 316 may parse multiple pieces of information before generating a database entry.
- input module 314 may receive a docket number for an issued patent. The docket number may be combined with the information parsed from the issued patent to form an entry in matter database 306 .
- analytics module 318 is configured to examine and run calculations on the data stored in the databases 302 - 312 to generate the analytics discussed previously. For example, analytics module 318 may formulate an SQL query that retrieves the number of times that a prior art reference has been cited within a portfolio. This query may be run for each prior art cited within the portfolio to determine a list of the most cited (e.g., the top ten) prior art references within a portfolio. In an embodiment, the queries are formulated and run as requested by a user. In an embodiment, once the analytics information has been determined, it is stored within analytics database 312 . In various embodiments, queries are formulated and run on a periodic basis (e.g., nightly) and entries in analytics database 312 may be updated to reflect any changes.
- a periodic basis e.g., nightly
- display module 320 is configured to display user interfaces and information retrieved from one or more databases 302 - 312 .
- display module 320 may generate user interface 200 of FIG. 2 . If a user is accessing patent portfolio and annuity management system 102 ( FIG. 1 ) remotely (e.g., through a web browser), display module 320 may be configured to transmit data representing a user interface through a network to a user terminal 104 ( FIG. 1 ).
- display module 320 is configured to generate one or more charts of data stored in databases 302 - 312 . For example, display module 320 may generate a pie chart of the top 10 inventors within a portfolio.
- filtering module 322 is configured to filter a set of matters according to a user preference. For example, a user may activate a check box that indicates only pending matters should be shown in a user interface. Filtering module 322 may formulate a query consistent with retrieving only pending matters. The results of the query may then be shared with display module 320 , where the user interface may be updated.
- mapping module 324 is configured to receive or generate mappings from a product to a matter. This may be accomplished, for example, by receiving a selection of a product and a matter by the user.
- the product may be one or more of the products stored in product database 310 .
- mapping module 324 is configured to present an automated mapping of the product to a matter for the user to confirm or deny.
- mapping module 324 may present a claim chart for an issued patent to a user. As discussed, the claim chart includes one or more scope concepts to which one or more the claims of the patent are limited.
- mapping module 324 may receive selections of the user of one or more of the scope concepts that are potentially affiliated with the product.
- the mapping module 324 may present an option to map the product to the patent.
- the user may override this recommendation and select to not map the product to the patent.
- a user may indicate that a product is affiliated with the patent even if the scope concepts do not match.
- the mapping module 324 is configured to receive or generate mappings from prior art to a matter. This may be accomplished, for example, by receiving a selection of prior art and a matter by the user. The selection of the prior art may be based on cited references or through other external prior art search. The selections may be conducted manually, by a user, or automatically, by analytics module 318 , for example. In various embodiments, mapping module 324 is configured to present an automated mapping of the prior art to a matter for the user to review. In various embodiments, the mapping module 324 can be configured to carry out any of the keyword analysis described above in relation to analytics module 318 , or to map products stored in product database 310 .
- the product or prior art mapping information is stored within analytics database 312 or matter database 306 .
- queries are formulated and run on a periodic basis (e.g., nightly), and entries in analytics database 312 or matter database 306 may be updated to reflect any changes.
- an annuity system or service tracks annuity payments due for a patent owner (like a large US or European company “EC”, for example) listing payments in US dollars.
- the system has software that dockets a due date for each patent to generate tracking data.
- the software prices out how much it would cost to buy a forward contract of currency equal to the total amount of fees due on all patents being tracked that are coming due on that particular date, or due within a date range, like all fees due in a calendar month. In an alternate embodiment, this can be done for one patent at a time.
- the cost of the forward contract is then apportioned to all the patents pro-rata based on the actual annuity fee, for the purpose of showing how much it will cost to pay each maintenance fee.
- the system provides the pricing infrastructure to support this transaction.
- the pricing infrastructure and functionality may be included in one or more of the modules described herein, for example the analytics module 318 or the payment module 326 described further below.
- a patent owner signs up to use the annuity service.
- the service generates, synchronizes or receives the tracking data.
- the tracking data is received from the EC's existing annuity payment service, for example Computer Patent Annuities (CPA).
- CPA Computer Patent Annuities
- the service prices a forward contract for that batch of patent annuities using forward contract rates from a participating bank.
- the price of the currency may be provided to the patent owner directly, or provided to an annuity payment company (APC), which in turn uses the information to send upcoming payment reports to the patent owner with, for example, a list of annuities due and an amount for each payment.
- APC annuity payment company
- the patent owner can instruct the APC to make payments in US dollars.
- the APC may notify the service or the participating bank on how much to send to the foreign patent office to cover the cost of payment for the list of annuities to be paid.
- the participating bank may wire or transfer funds to a foreign patent office account. In an example embodiment, this step (or any of the other steps) may be automated.
- the patent owner may pay the participating bank directly for the cost of the annuities.
- the APC pays the participating bank and the APC collects from the patent owner or the existing annuity service (CPA for example). The method can be replicated to pay fees in any country.
- a user could either have a default forward date or pick a specific date dynamically as the forward date.
- a user interface is integrated into a patent office payment system.
- the pricing for one or more annuity payments is dynamically quoted during the payment authorization process. The price may be locked with the order to pay the one or more annuities. A credit card or account of the patent owner may be charged later than the annuity due date or a date before that.
- payment module 326 is configured to receive selections, or tags, by the user of which annuities to pay for matters in a portfolio or registry listing, for example. Additionally, payment module 326 may receive user preferences related to the payment of the annuities. Payment module 326 may receive payment information from a user and forward the payment information to the appropriate agency/office. In some embodiments, the annuity management system 102 ( FIG. 1 ) organizes payment of the annuity on behalf of the user, and the user pays patent portfolio and annuity management system 102 .
- any of the databases 302 - 312 or modules 314 - 326 described above may be used or configured partially or entirely as appropriate to perform one or more of the annuity payment or management functions described herein, or as set forth below in the following method steps.
- a method 400 comprises: at 402 , tracking one or more patent annuity payments due on at least one patent for a user; at 404 , docketing a due date for at least one of the annuity payments; at 406 , in advance of the due date, identifying the cost of a forward contract to obtain or purchase currency equal to a total amount payable of the at least one annuity payment; and at 408 , providing the cost of the forward contract to the user.
- the method 400 further comprises receiving, in response to providing the cost of the forward contract, annuity payment instructions from the user.
- the method 400 may further comprise paying, or arranging to have paid, at least one annuity payment based on the received instructions.
- the at least one annuity payment may be due on a foreign patent and the currency may be a foreign currency.
- the due date of the at least one annuity payment may fall within a specified period, and the cost identification may occur on a date in advance of the specified period.
- the method 400 further comprises receiving data identifying one or both of the specified period and the cost identification date from the user.
- the method 400 further comprises apportioning at least one component of the cost of the forward contract across a plurality of tracked annuity payments.
- the component may be one or more of an interest charge, a currency conversion charge, and a bank or service charge relating to at least one aspect of the forward contract.
- the apportionment may be performed pro-rata based on a base cost of each annuity payment in the plurality of annuity payments.
- a method 410 comprises; at 412 , allowing a user to register with the service and to identify at least one patent on which an annuity is payable; at 414 , generating, synchronizing or receiving annuity tracking data relating to the at least one patent, the tracking data including a due date of the annuity payment, and identifying, in a first currency, the amount payable on the annuity payment; at 416 , pricing, in advance of the due date and using forward contract rates from a participating bank, a forward contract for obtaining currency to have the annuity payment paid in a second currency; and at 418 , providing the contract pricing to the user or a third party.
- the method 410 further comprises receiving, in response to providing the contract pricing, annuity payment instructions from the user or the third party.
- the method 410 may further comprise paying, or arranging to have paid, the annuity payment based on the received instructions.
- the method 410 may yet further comprise receiving, from the user or the third party and in the first currency, funds at least including the amount payable on the annuity payment; and paying, or arranging to have paid, the annuity payment in the second currency.
- the tracking data may include data received from a third party annuity service, or a patent office.
- the annuity payment is included in a batch of annuity payments due in a specified period
- the forward contract may include at least a total amount due for all the annuity payments in the batch. At least a portion of an interest or service charge included in the forward contract may be apportioned across the batch of annuity payments. The apportionment may be performed pro-rata based on a base cost of each annuity payment in the batch.
- the third party may be an annuity payment service provider.
- the pricing of the forward contract is dynamically quoted to the user or third party in advance of the due date.
- Any of the example methods may be computer-implemented and any one or more of the above-cited method steps including tracking, docketing, identifying and providing may be performed by at least one processor.
- the at least one processor may be included in one or more modules, including hardware-implemented modules of the type described herein.
- Modules may constitute either software modules (e.g., code embodied (1) on a non-transitory machine-readable medium or (2) in a transmission signal) or hardware-implemented modules.
- a hardware-implemented module is a tangible unit capable of performing certain operations and may be configured or arranged in a certain manner.
- one or more computer systems e.g., a standalone, client, or server computer system
- one or more processors may be configured by software (e.g., an application or application portion) as a hardware-implemented module that operates to perform certain operations as described herein.
- a hardware-implemented module may be implemented mechanically or electronically.
- a hardware-implemented module may comprise dedicated circuitry or logic that is permanently configured (e.g., as a special-purpose processor, such as a field programmable gate array (FPGA) or an application-specific integrated circuit (ASIC)) to perform certain operations.
- a hardware-implemented module may also comprise programmable logic or circuitry (e.g., as encompassed within a general-purpose processor or other programmable processor) that is temporarily configured by software to perform certain operations. It will be appreciated that the decision to implement a hardware-implemented module mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software) may be driven by cost and time considerations.
- the term “hardware-implemented module” should be understood to encompass a tangible entity, be that an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily or transitorily configured (e.g., programmed) to operate in a certain manner and/or to perform certain operations described herein.
- hardware-implemented modules are temporarily configured (e.g., programmed)
- each of the hardware-implemented modules need not be configured or instantiated at any one instance in time.
- the hardware-implemented modules comprise a general-purpose processor configured using software
- the general-purpose processor may be configured as respective different hardware-implemented modules at different times.
- Software may accordingly configure a processor, for example, to constitute a particular hardware-implemented module at one instance of time and to constitute a different hardware-implemented module at a different instance of time.
- Hardware-implemented modules can provide information to, and receive information from, other hardware-implemented modules. Accordingly, the described hardware-implemented modules may be regarded as being communicatively coupled. Where multiple of such hardware-implemented modules exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) that connect the hardware-implemented modules. In embodiments in which multiple hardware-implemented modules are configured or instantiated at different times, communications between such hardware-implemented modules may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware-implemented modules have access. For example, one hardware-implemented module may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware-implemented module may then, at a later time, access the memory device to retrieve and process the stored output. Hardware-implemented modules may also initiate communications with input or output devices and can operate on a resource (e.g., a collection of information).
- processors may be temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented modules that operate to perform one or more operations or functions.
- the modules referred to herein may, in some example embodiments, comprise processor-implemented modules.
- the methods described herein may be at least partially processor-implemented. For example, at least some of the operations of a method may be performed by one or more processors or processor-implemented modules. The performance of certain of the operations may be distributed among the one or more processors, not only residing within a single machine, but deployed across a number of machines. In some example embodiments, the processor or processors may be located in a single location (e.g., within a home environment, an office environment, or as a server farm), while in other embodiments the processors may be distributed across a number of locations.
- the one or more processors may also operate to support performance of the relevant operations in a “cloud computing” environment or as a “software as a service” (SaaS). For example, at least some of the operations may be performed by a group of computers (as examples of machines including processors), with these operations being accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., APIs).
- SaaS software as a service
- Example embodiments may be implemented in digital electronic circuitry, or in computer hardware, firmware, or software, or in combinations of them.
- Example embodiments may be implemented using a computer program product, e.g., a computer program tangibly embodied in an information carrier, e.g., in a machine-readable medium for execution by, or to control the operation of, data processing apparatus, e.g., a programmable processor, a computer, or multiple computers.
- a computer program can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, subroutine, or other unit suitable for use in a computing environment.
- a computer program can be deployed to be executed on one computer or on multiple computers at one site or distributed across multiple sites and interconnected by a communication network.
- operations may be performed by one or more programmable processors executing a computer program to perform functions by operating on input data and generating output.
- Method operations can also be performed by, and apparatus of example embodiments may be implemented as, special purpose logic circuitry (e.g., a FPGA or an ASIC).
- the computing system can include clients and servers.
- a client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
- both hardware and software architectures usually require consideration.
- the choice of whether to implement certain functionality in permanently configured hardware e.g., an ASIC
- temporarily configured hardware e.g., a combination of software and a programmable processor
- a combination of permanently and temporarily configured hardware may be a design choice.
- hardware e.g., machine
- software architectures that may be deployed in various example embodiments.
- FIG. 5 is a block diagram of a machine in the example form of a computer system 500 within which instructions for causing the machine to perform any one or more of the methodologies discussed herein may be executed.
- the machine operates as a standalone device or may be connected (e.g., networked) to other machines.
- the machine may operate in the capacity of a server or a client machine in server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment.
- the machine may be a personal computer (PC), a tablet PC, a set-top box (STB), a PDA, a cellular telephone, a web appliance, a network router, switch or bridge, or any machine capable of executing instructions (sequential or otherwise) that specify actions to be taken by that machine.
- PC personal computer
- PDA personal digital assistant
- STB set-top box
- PDA personal digital assistant
- cellular telephone a web appliance
- web appliance a web appliance
- network router switch or bridge
- machine any machine capable of executing instructions (sequential or otherwise) that specify actions to be taken by that machine.
- machine shall also be taken to include any collection of machines that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methodologies discussed herein.
- the example computer system 500 includes a processor 502 (e.g., a central processing unit (CPU), a graphics processing unit (GPU) or both), a main memory 504 and a static memory 506 , which communicate with each other via a bus 508 .
- the computer system 500 may further include a video display unit 510 (e.g., a liquid crystal display (LCD) or a cathode ray tube (CRT)).
- the computer system 500 also includes an alphanumeric input device 512 (e.g., a keyboard), a user interface (UI) navigation or cursor control device 514 (e.g., a mouse), a disk drive unit 516 , a signal generation device 518 (e.g., a speaker) and a network interface device 520 .
- an alphanumeric input device 512 e.g., a keyboard
- UI user interface
- cursor control device 514 e.g., a mouse
- disk drive unit 516 e.g., a disk drive unit 516
- signal generation device 518 e.g., a speaker
- the disk drive unit 516 includes a machine-readable medium 522 on which is stored one or more set of data structures and instructions 524 (e.g., software) embodying or utilized by any one or more of the methodologies or functions described herein.
- the instructions 524 may also reside, completely or at least partially, within the main memory 504 and/or within the processor 502 during execution thereof by the computer system 500 , with the main memory 504 and the processor 502 also constituting machine-readable media.
- machine-readable medium 522 is shown in an example embodiment to be a single medium, the term “machine-readable medium” may include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more data structures or instructions 524 .
- the term “machine-readable medium” shall also be taken to include any tangible medium that is capable of storing, encoding, or carrying instructions for execution by the machine and that cause the machine to perform any one or more of the methodologies of the embodiments of the present invention, or that is capable of storing, encoding or carrying data structures utilized by or associated with such instructions.
- the term “machine-readable medium” shall accordingly be taken to include, but not be limited to, solid-state memories and optical and magnetic media.
- machine-readable media include non-volatile memory, including, by way of example, semiconductor memory devices (e.g., Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), and flash memory devices); magnetic disks such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks.
- semiconductor memory devices e.g., Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), and flash memory devices
- EPROM Erasable Programmable Read-Only Memory
- EEPROM Electrically Erasable Programmable Read-Only Memory
- flash memory devices e.g., electrically Erasable Programmable Read-Only Memory (EEPROM), and flash memory devices
- magnetic disks such as internal hard disks and removable disks
- magneto-optical disks magneto-optical disks
- CD-ROM and DVD-ROM disks CD-
- the instructions 524 may further be transmitted or received over a communications network 526 using a transmission medium.
- the instructions 524 may be transmitted using the network interface device 520 and any one of a number of well-known transfer protocols (e.g., Hypertext Transfer Protocol “HTTP”).
- Examples of communication networks include a LAN, a WAN, the Internet, mobile telephone networks, plain old telephone (POTS) networks, and wireless data networks (e.g., WiFi and WiMax networks).
- POTS plain old telephone
- wireless data networks e.g., WiFi and WiMax networks.
- transmission medium shall be taken to include any intangible medium that is capable of storing, encoding or carrying instructions for execution by the machine, and includes digital or analog communications signals or other intangible media to facilitate communication of such software.
- inventive subject matter may be referred to herein, individually and/or collectively, by the term “invention” merely for convenience and without intending to voluntarily limit the scope of this application to any single invention or inventive concept if more than one is in fact disclosed.
- inventive concept merely for convenience and without intending to voluntarily limit the scope of this application to any single invention or inventive concept if more than one is in fact disclosed.
Abstract
Various embodiments of the present disclosure include systems and methods of making or managing annuity payments. In one example embodiment, a method comprises tracking one or more patent annuity payments due on at least one patent for a user and docketing a due date for at least one of the annuity payments. In advance of the due date, the method includes identifying the cost of a forward contract to obtain or purchase currency equal to a total amount payable of the at least one annuity payment and providing the cost of the forward contract to the user.
Description
- This application claims the benefit under 35 U.S.C. 119(e) of U.S. Provisional Patent Application Ser. No. 61/542,515 filed Oct. 3, 2011, which is incorporated herein by reference in its entirety and made a part hereof. This application also claims the benefit under 35 U.S.C. 119(e) of U.S. Provisional Patent Application Ser. No. 61/561,502 filed Nov. 18, 2011, which is incorporated herein by reference in its entirety and made a part hereof.
- The management of a patent portfolio involves multiple stages. Initially, a decision is typically made as to which inventions are worth the investment of filing a patent application. Each filed patent application typically then goes through prosecution with the patent office. Finally, for each patent that is allowed, maintenance fees are usually payable at a variety of intervals to keep the patent in force.
- It is well known that annuity payment providers can make large sums on currency conversion. That is, they typically convert for example dollars to euros for example when paying a European Patent Office (EPO) annuity fee, and charge more than the commercial exchange rate—typically 6 to 25 percent more than going rate. This markup is typically justified by the provider as compensation for volatility in currency markets. In the eyes of a patent manager, for example, the markup can unduly add to the maintenance costs of a patent estate.
- The inventor has recognized that one solution to this problem can include a payment infrastructure that can support a more economical way to price and convert currency using forward contracts. Generally, the price of a forward contract is the cost of the currency on the day the contract is purchased, plus the cost of interest to hold the currency until it is delivered. This could be as little as 1% in interest cost, as compared to a 6% to 25% mark up. Other components of the contract cost or price can include currency conversion charges, or bank service charges.
- This disclosure relates to systems and methods for making or managing patent annuity payments.
- In an example embodiment, an annuity payment management system comprises at least one hardware-implemented module including at least one processor to track one or more patent annuity payments due on at least one patent for a user; docket a due date for at least one of the annuity payments; in advance of the due date, identify the cost of a forward contract to obtain or purchase currency equal to a total amount payable on the at least one annuity payment; and provide the cost of the forward contract to the user.
- The at least one processor may be further to receive, in response to providing the cost of the forward contract, annuity payment instructions from the user. The at least one processor may be further to pay, or arrange to have paid, at least one annuity payment based on the received instructions. The at least one annuity payment may be due on a foreign patent and the currency may be a foreign currency. The due date of the at least one annuity payment may fall within a specified period, and the cost identification may occur on a date in advance of the specified period.
- The at least one processor may be further to receive data identifying one or both of the specified period and the cost identification date from the user. The at least one processor may be further to apportion at least one component of the cost of the forward contract across a plurality of tracked annuity payments. The component may be one or more of an interest charge, a currency conversion charge, and a bank or service charge relating to at least one aspect of the forward contract. The apportionment may be performed pro-rata based on a base cost of each annuity payment.
- In an example embodiment, an annuity payment management system comprises at least one hardware-implemented module including at least one processor to allow a user to register with the system and to identify at least one patent on which an annuity is payable; generate, synchronize or receive annuity tracking data relating to the at least one patent, the tracking data including a due date of the annuity payment; identify, in a first currency, the amount payable on the annuity payment; price, in advance of the due date and using forward contract rates from a participating bank, a forward contract for obtaining currency to have the annuity payment paid in a second currency; and provide the contract pricing to the user or a third party.
- The at least one processor may be further to receive, in response to providing the contract pricing, annuity payment instructions from the user or the third party. The at least one processor may be further to pay, or facilitate payment of, the annuity payment based on the received instructions.
- In an example embodiment, the at least one processor may be further to facilitate receipt, from the user or the third party and in the first currency, funds at least including the amount payable on the annuity payment; and pay, or facilitate payment of, the annuity payment in the second currency.
- The tracking data may include data received from a third party annuity service, or a patent office.
- The annuity payment may be included in a batch of annuity payments due in a specified period, and the forward contract may include at least a total amount due for all the annuity payments in the batch. At least a portion of an interest or service charge included in the forward contract may be apportioned across the batch of annuity payments. The apportionment may be performed pro-rata based on a base cost of each annuity payment in the batch.
- In an example embodiment, the third party may be an annuity payment service provider. The at least one processor may be further to dynamically quote the contract pricing to the user or third party in advance of the due date.
- In an example embodiment, an annuity payment management system comprises a network; at least one database, accessible on the network, the database including data relating to annuity payments due on patents or applications registered at a patent office; a server, operatively connected to the network, wherein the server includes a processor, a memory, software operable on the processor to track one or more patent annuity payments due on at least one patent in the database; docket a due date for at least one of the annuity payments; in advance of the due date, identify the cost of a forward contract to obtain or purchase currency equal to a total amount payable on the at least one annuity payment; and provide the cost of the forward contract to a user.
- In an example embodiment, an annuity payment management system comprises a network; at least one database, accessible on the network, the database including data relating to annuity payments due on patents or applications registered at a patent office; a server, operatively connected to the network, wherein the server includes a processor, a memory, software operable on the processor to allow a user to register with the system and to identify at least one patent on which an annuity is payable. Further, an annuity payment management system may generate, synchronize or receive annuity tracking data relating to the at least one patent, the tracking data including a due date of the annuity payment; identify, in a first currency, the amount payable on the annuity payment; price, in advance of the due date and using forward contract rates for obtaining currency to have the annuity payment paid in a second currency; and provide the contract pricing to the user or a third party.
- Some embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings in which:
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FIG. 1 is a schematic view of a computer network system, according to various embodiments. -
FIG. 2 is a user interface, as may be used in an example embodiment. -
FIG. 3 is a block diagram of a system, according to example embodiments. -
FIGS. 4A-4B are flow charts showing methods, according to example method embodiments. -
FIG. 5 is a block diagram of a machine in the example form of a computer system within which a set of instructions may be executed for causing the machine to perform any one or more of the methodologies herein discussed. - The life cycle of a patent may include multiple stages. These stages generally include invention, filing a patent application on the invention, prosecuting the patenting application to allowance or abandonment, determining whether to file any continuing applications, and paying maintenance fees on the allowed patent.
- At each stage, one or more parties determine the best course of action to take with respect to the invention. For example, when determining whether or not to file a patent, the inventor may know what products are out in the technology area of the invention, a business manager may know how the invention fits in with a company's goals, and a patent attorney may have researched existing patents or applications in the technology area of the patent. These parties will ultimately decide whether it is worth the initial investment of filing an application on the invention and then determine the next course of action at each future stage.
- In some instances, an inventor, business manager, or portfolio manager may wish to monitor the patent activities of one or more competitors. The provision of up-to-date information relating to cited references or technology trends in the art to which a user's or competitor's patent portfolio relates may be particularly helpful in devising patenting strategy or making informed business decisions.
- In various embodiments, a patent management system includes tools to help the parties involved in the patenting process make decisions at each stage in the life of a patent. These tools may also be used for general research by parties not immediately involved with the patenting of the invention. These tools may be used as standalone tools, in combination with other tools, and in combination with other patent management systems. Examples of tools include, but are not limited to, prosecution analytics, patent and patent continuation analysis, reference management, prior art analytics, docketing management, claim mapping, claim analytics, portfolio analytics, external database (e.g., Patent Application Information Retrieval “PAIR”) analytics, annuity management, strategic monitoring, and a white space indicator.
- The systems, methods, and tools of the present disclosure set forth in this specification are described in relation to a patent management system and patent matters, but it will be understood that embodiments of the present invention could equally be applied to other forms of intellectual property (trademarks, copyright, utility models, petty patents, registered designs, and the like). Moreover, the term “patent” is not intended to be limited to an issued patent, but may include a pending patent application or un-filed application, invention disclosure or other type of intellectual property right. The term “user” or “registered user” is intended to cover any person interacting with the patent management system. A user may be an inventor, portfolio manager, business manager or patent attorney, for example. A “user” or “registered user” may also be an annuity payment service provider such as Computer Packages, Inc (CPI) or Computer Patent Annuities (CPA), for example. In the patent art, the term “annuity fees” can sometimes be used to refer to payments required to renew granted patents, while the term “maintenance fees” can sometimes be used to refer to payments required to maintain pending patent applications. In this specification, the terms “annuity fees” and “maintenance fees” are used interchangeably and refer to any kind of payment required to keep a patent or patent application (or other intellectual property right) in force.
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FIG. 1 is a schematic view ofcomputer network system 100 according to various embodiments. Thecomputer network system 100 includes a patent portfolio and annuity management system 102 (also called aportfolio management system 102, or annuity management system 102) anduser terminal 104, communicatively coupled vianetwork 106. In an embodiment, patent portfolio andannuity management system 102 includesweb server 108,application server 110,database management server 114, which is used to manage atleast operations database 116, andfile server 118. Patent portfolio andannuity management system 102 may be implemented as a distributed system; for example, one or more elements of the patent portfolio andannuity management system 102 may be located across a wide area network (WAN) from other elements of patent portfolio andannuity management system 102. As another example, a server (e.g.,web server 108,file server 118, database management server 114) may represent a group of two or more servers, cooperating with each other, provided by way of a pooled, distributed, or redundant computing model. -
Network 106 may include local area networks (LANs), WANs, wireless networks (e.g., 802.11 or cellular network), the Public Switched Telephone Network (PSTNs) network, ad hoc networks, personal area networks (e.g., Bluetooth) or other combinations or permutations of network protocols and network types. Thenetwork 106 may include a single LAN or WAN, or combinations of LANs or WANs, such as the Internet. The various devices coupled tonetwork 106 may be coupled tonetwork 106 via one or more wired or wireless connections. -
Web server 108 may communicate withfile server 118 to publish or serve files stored onfile server 118.Web server 108 may also communicate or interface with theapplication server 110 to enable web-based presentation of information. For example,application server 110 may provide scripts, applications, or library files that provide primary or auxiliary functionality to web server 108 (e.g., multimedia, file transfer, or dynamic interface functions). In addition,application server 110 may also provide some or the entire interface forweb server 108 to communicate with one or more of the other servers in the patent portfolio and annuity management system 102 (e.g., database management server 114).Web server 108, either alone or in conjunction with one or more other computers in patent portfolio andannuity management system 102, may provide a user-interface. The user-interface may be implemented using a variety of programming languages or programming methods, such as HTML (HyperText Markup Language), VBScript (Visual Basic® Scripting Edition), JavaScript™, XML® (Extensible Markup Language), XSLT™ (Extensible Stylesheet Language Transformations), AJAX (Asynchronous JavaScript and XML), Java™, JFC (Java™ Foundation Classes), and Swing (an Application Programming Interface for Java™) -
User terminal 104 may be a personal computer (PC) or mobile device. In an embodiment,user terminal 104 includes a client program to interface with the patent portfolio andannuity management system 102. The client program may include commercial software, custom software, open source software, freeware, shareware, or other types of software packages. In an embodiment, the client program includes a thin client designed to provide query and data manipulation tools for a user ofuser terminal 104. The client program may interact with a server program hosted by, for example,application server 110. Additionally, the client program may interface withdatabase management server 114. -
Operations database 116 may be composed of one or more logical or physical databases. For example,operations database 116 may be viewed as a system of databases, which when viewed as a compilation, represent an “operations database.” Sub-databases in such a configuration may include a matter database, portfolio database, user database, patent reference document or prior art database, product database, watch database, and mapping database. Theoperations database 116 or any one of the sub-databases may include a registry of patent matters.Operations database 116 may be implemented as a relational database, a centralized database, a distributed database, an object-oriented database, or a flat database in various embodiments. - Data stored in a first database may be associated with data in a second database through the use of common data fields. For example, consider entries in the patent database formatted as [Patent ID, Patent Number] and entries in the product database formatted as [Product ID, Product Name, Patent ID]. In this manner, a product entry in the product database is associated with a patent in the patent database through the Patent ID data field. In various embodiments, a product may be associated with more than one patent by creating multiple entries in the product database (e.g., one for each patent the product is associated with). In other embodiments, one or more patent reference document may be associated with a patent by creating multiple entries in the patent database, for example. The formats and data field titles are for illustration purposes, and other names and formats may be used. Additionally, further associations between data stored in the databases may be created as discussed further herein.
- During operation of patent portfolio and
annuity management system 102, data from multiple data sources (internal and external) is imported into or accessed by theoperations database 116. Internal sources may include data from portfolio management and annuity payment services affiliated with patent portfolio andannuity management system 102.External sources 120 may include websites or databases associated with foreign and domestic patent offices (e.g., PAIR at the United States Patent and Trademark Office “USPTO”), assignment databases, World Intellectual Property Organization (“WIPO”), and International Patent Documentation Center (“INPADOC”). In an embodiment, annuity amounts due and annuity due dates for patent matters listed in a registry database are drawn directly from such data stored at a national patent office in electronic form. In various embodiments, the data is scraped and parsed from websites if it is unavailable through a database. The data may be gathered using API calls to the sources when available. The data may be imported and stored in theoperations database 116 on a scheduled basis, such as weekly, monthly, quarterly, or some other regular or periodic interval. Alternatively, the data may be imported on-demand. - After data importation, the data may be standardized into a common format. For example, database records from internal or
external sources 120 may not be in a compatible format with theoperations database 116. Data conditioning may include data rearrangement, normalization, filtering (e.g., removing duplicates), sorting, binning, or other operations to transform the data into a common format (e.g., using similar date formats and name formats). -
FIG. 2 is anexample user interface 200 of patent portfolio and annuity management system 102 (FIG. 1 ).User interface 200 is illustrated with multiple user interface elements. In an example embodiment, a user interface element is a graphical or textual element with which a user may interact to cause an application to perform an assigned action for the interface element. Data representinguser interface 200 may be transmitted vianetwork 106 and presented on a display of user terminal 104 (FIG. 1 ) through the use of a web browser. A user (e.g., manager of a patent portfolio) may interact with the user interface elements ofuser interface 200 through the use of an input device (e.g., stylus, cursor, mouse, finger) of theuser terminal 104. In an embodiment, a user selection is based on the coordinates of the input device as it makes contact with the display or where a user “clicks” the mouse. The coordinates are compared to the coordinates of the user input element to determine the selection. The type of user elements, names, and layout depicted inFIG. 2 are intended to be an illustration of an example user interface of patent portfolio andannuity management system 102. Other types of user elements, names, and layouts may be used. - The user interface elements may include my
matters 202, patent watches 204, company watches 206,patent analysis 207, and tag matters 209. These elements may be used to select a context/view of the portfolio and annuity management system 102 (FIG. 1 ). For example, mymatters 202 may list the patents included within a portfolio of a user, or list patent matters tagged for renewal by a user of an annuity registry database included, for example, in an operations database 116 (FIG. 1 ) of the type described above. Patent watches 204 may list information on patents that the user has indicated themanagement system 102 is to watch, and company watches 206 lists information on companies that the user has indicated the annuity management system should watch.Patent analysis 207 may allow a user to perform analysis on selected patent or patent continuation matters. Tag matters 209 may be selected to allow a user to tag or identify patent matters for management or payment of annuity fees. Further details of each of these are included herein. -
Date boxes box 212 displays the amount due with respect to annuities for patents in the portfolio of the user, or tagged or listed in a registry, within the period indicated bydate boxes date boxes date boxes - Drop-
down menu 214 includes a list of portfolios or registry listings that a user of the patent portfolio and annuity management system 102 (FIG. 1 ) is authorized to view. For example, beforeuser interface 200 is displayed, a login screen requesting a user ID and password may be presented to the user. In various embodiments, the user ID is associated with one or more portfolios. In turn, each portfolio is associated with one or more matters. Matters may include US and foreign issued patents (including divisionals, continuations and so forth), pending patents, abandoned patents, and not yet filed applications. Thus, upon selection of a portfolio using drop-down menu 214,user interface 200 is populated with matters associated with the portfolio or registry listing. - Checkbox 216 is an option to only display matters that currently have an annuity due. Drop-
down menu 218 allows further filtering of matters. For example, the matters may be filtered by US patents only, by US patent applications, and by foreign applications only. - In various embodiments, activation of
button 220updates user interface 200 to reflect the choices made by the user with respect todate boxes down menu 218. For example, the amount duebox 212 will be updated to reflect the amount due within the new period, and the matters listed undercolumn headings 222 may be filtered. In various embodiments,user interface 200 is updated as the user selections are made with respect toelements 208 to 218 without activatingbutton 220. -
FIG. 3 is a block diagram of patent portfolio and annuity management system 102 (FIG. 1 ), according to an example embodiment. Illustrated areuser database 302,portfolio database 304,matter database 306,watch database 308,product database 310,analytics database 312,input module 314, parsingmodule 316,analytics module 318,display module 320,filtering module 322,mapping module 324, andpayment module 326. In various embodiments, the data stored indatabases portfolio database 304 may be located in one or more computers associated with a portfolio management service. In various embodiments, patent portfolio and annuity management system 102 (FIG. 1 ) may mirror databases stored in other locations. In an embodiment, when a request is made to access data stored in the databases, patent portfolio andannuity management system 102 determines where the data is located and directs the request to the appropriate location. - In an example embodiment,
user database 302 stores data representing users of patent portfolio and annuity management system 102 (FIG. 1 ). The data may represent authorized or registered users that are registered to use the patent matter registry database, for example. The data may include data fields of user credentials, including a user ID and password, and access rights with respect to themanagement system 102. The user ID may be the same as the user ID of other systems associated with patent portfolio andannuity management system 102. For example the user ID may be used in aportfolio management system 102. In this manner, access rights of the user with respect to the portfolio management part of thesystem 102 may follow to the annuity management part of the system. In various embodiments, each user ID is associated with one or more portfolio IDs. Thus, when a user logs into the patent portfolio andannuity management system 102, the user is presented with access to only the portfolios that have been associated with that user ID. More or fewer data fields associated with a user may be included in a user entry stored inuser database 302. -
Portfolio database 304, in an example embodiment, stores data representing portfolios of one or more matters. A matter may include foreign or domestic issued patents in addition to applications. Data stored inportfolio database 304 may have been initially generated in a portfolio management system and imported into patent portfolio andannuity management system 102 through the use of one or more API calls or direct access to the data in theportfolio management system 102. In various embodiments, a portfolio may be generated by a user using the patent portfolio andannuity management system 102. For example, a user interface may be presented to the user requesting a portfolio name and the identifiers of matters to be included in the portfolio. In an embodiment, a portfolio entry inportfolio database 304 includes the data fields of portfolio ID and portfolio name. Additionally, a data field for matter ID may also be included in an entry in theportfolio database 304. Thus, each portfolio may be associated with one or more matters through the use of the matter ID data field. More or fewer data fields associated with a portfolio may be included in a portfolio entry ofportfolio database 304. - In an embodiment,
matter database 306 stores data representing matters. Each matter may be associated with one or more portfolios as well as one or more watches. In some embodiments, a matter is associated with no portfolios or watches. In an embodiment, a matter entry includes data fields representing a matter ID, title (e.g., the name of the patent or application), type of the matter (e.g., application, issued patent, Patent Cooperation Treaty “PCT” application), status of the matter (e.g., issued, abandoned, allowed), a link to the patent office where the matter was filed, a link to a PDF download of the matter, abstract of the matter, inventors of the matter, current owner of the matter, cited references on the face of the matter, filed date, issue date, docket number, and annuity information (e.g., due date, country, and amount due). In some embodiments, other patent reference documents or prior art in any form may be stored and associated with one or more matters. More or fewer data fields associated with a patent may be included in a matter entry stored inmatter database 306. In an example embodiment,matter database 306 may store a patent matter database, wherein this database includes data about the patent matters. The data may include, for at least one patent matter, a claim set or statement of invention and a priority date for the claim set or statement of invention.Matter database 306 may also store a database of prior art documents (also known as “references”), wherein the prior art database includes data about the prior art documents. The data may include, for at least one prior art document, a priority date or publication date of the document. One or more of the prior art documents may be associated with a first patent matter in the patent matter database. - In various embodiments, a matter is associated with one or more other matters as a family with a family ID. Family members may be priority documents, continuation patents/applications, divisional patents/applications, and foreign patent/application counterparts. In an embodiment, family information is determined according to an external source such as INPADOC. Patent reference documents and/or other prior art may be manually or automatically stored, cross-cited, and associated with related family matters, for example.
- In an embodiment,
watch database 308 stores data representing user preferences with respect to objects that the user wants to track (e.g., watch). In an embodiment, an object is a company or a matter. With respect to matters, a user may indicate a preference to track the matter for any forward citations within a time period (e.g., 60 days, 3 months, etc.). Thus,watch database 308 may store entries with a watch ID that is associated with a user ID and a matter ID. With respect to companies, a user may indicate a preference to watch for publications or issued patents with an associated time period. Thus,watch database 308 may store entries with a watch ID, a user ID, and a company name. In various embodiments, the watches are user ID-specific such that no matter which profile the user is viewing, the watches do not change. - In an embodiment,
product database 310 stores data representing products. The products may be actual products manufactured by the user, products yet to be released, planned products, products covered in a licensing agreement, or a fictional product. In various embodiments,product database 310 stores entries with a product ID and product name which are associated with a user ID. In various embodiments, a user may tag a product as associated with a matter. Thus, an entry in theproduct database 310 may also be associated with a matter ID. In an embodiment, one or more products stored in theproduct database 310 may be mapped to one or more matters stored in thematter database 306. - In various embodiments,
analytics database 312 stores data representing information on matters and companies associated with patent portfolio and annuity management system 102 (FIG. 1 ). This information may be organized according to an individual matter, a portfolio, a family, or company. The information may be gathered from internal orexternal sources 120 of patent portfolio andannuity management system 102 or may be generated by examining the data stored in one or more databases of themanagement system 102. - In various embodiments, information for an individual matter may include status (e.g., disclosure received, drafting, filed, completed-waiting examination, in prosecution, allowed, issued), cited prior art, list and type of rejections (e.g., 35 U.S.C.§101, 102, 103), number of claims allowed, office action count, interviews held, Information Disclosure Statements (“IDS's”) filed, attorney fees to date, and PTO fees to date. Further metrics for an individual matter stored in
analytics database 312 may include time waiting for examiner, total time in examination, time waiting for PTO while in examination, and time on appeal. An additional prosecution details formatter may include upcoming docket dates (e.g., due dates for office action, IDS due dates, etc.). A claim prosecution history chart may also be stored inanalytics database 312 for each matter. The prosecution history may include a history of claim amendments and arguments made in prosecution. - In various embodiments, analytics for an individual matter may also include data representing a claim chart. The claim chart may include one or more scope concepts on one axis and claims on the other axis. In an embodiment, a scope concept is a textual description of what a patent claim is at least limited to. Thus, if a claim comprises A, B, and C, a scope concept may be A. In various embodiments, a scope concept for the claim may be broader than A because the claim will still be limited to the broader scope concept. In an embodiment, the claim charts store mappings between claims and scope concepts. The claim chart may include a variety of levels of granularity of scope concepts. Some claims may be mapped to all of the scope concepts while others may not be mapped to any scope concepts. In various embodiments, the mappings may have already been generated in a program external to the management system 102 (
FIG. 1 ) (e.g., a portfolio mapping system). In various embodiments, claim charts may be combined at the portfolio level. Thus, a portfolio level chart may include scope concepts for all the claims (or, in some examples, only the independent claims) in the portfolio. - In various embodiments, portfolio and family analytics information may be stored in
analytics database 312 based on aggregating the metrics for an individual matter. In an embodiment, the analytics of a family may differ from those in a portfolio since not all family member matters may be part of a portfolio. Additionally, the analytics may be stored for multiple time periods such that comparisons may be made between current metrics and metrics from a year ago (or other time period). - Aggregated metrics may include total patents and applications, pending and waiting for examination, in prosecution with no claims allowed, in prosecution with some claims allowed, appealed, notice of allowance received, and issued. These metrics may be compiled for both US and international matters in the portfolio. Additional information may include the international portfolio distribution by country. An age distribution of the portfolio may also be compiled. For example, the portfolio may be broken down by less than one year old, 1 to 3 years old, 3 to 5 years old, 5 to 10 years old, 10 to 20 years old, and 20 or more years old. Recent filing and issue activity as well as upcoming foreign filing deadlines may be stored in
analytics database 312. - In various embodiments, prosecution metrics across a portfolio or family are determined and stored in
analytics database 312. This data may include matters waiting for examination, matters in examination, matters appealed, and cases allowed but not yet issued. Analytics with respect to office actions may also be compiled and stored. For example, success of allowance after a first office action response, a second response, and the like, may be stored inanalytics database 312. Additional prosecution analytics may include allowance rate (e.g., 10%) after a telephone interview, allowance after an in-person interview, percentage of interviews with response, number and type of rejections, average time in prosecution (e.g., in months), average time to file a response, and average time to next office action. Further, the list of recently allowed cases, recently appealed cases, stalled cases, and recently abandoned cases may also be stored for each portfolio and family inanalytics database 312. - In various embodiments, data stored in the
database 312 for a group of matters in a portfolio or family is analyzed to determine the top (e.g., ten) most cited patents, top most cited inventors, top most cited prior art owners (e.g., according to assignment documents or the face of the patent), newly (e.g., within the last 60 days) cited prior art owners, and top most cited prior art inventors. This information may be stored inanalytics database 312. - In various embodiments, annuity cost information regarding cost projections for both US issued patents and international patents may also be stored. Upcoming foreign filing deadlines with respect to annuities may also be stored in
analytics database 312. - In various embodiments, the results of keyword analysis on one or more matters and/or prior art references may be stored in
analytics database 312. The keyword analysis may be based on the occurrences of the keywords in the matter or references to derive a score or keyword overlap. - In various embodiments,
input module 314 receives data from multiple sources where it may be further processed by one or more other modules and stored in one or more of databases 302-312. For example,input module 314 may be configured to utilize one or more APIs to collect data from one or more external sources 120 (FIG. 1 ) (e.g., public PAIR, private PAIR, INPADOC, foreign patent offices, patent docketing systems, portfolio management systems, etc.). The data may include published patent documents (for example, published claims of a patent), issued patent documents (for example, granted claims of a patent), patent applications, office actions or other patent office correspondence, prior art references, claim mappings, dockets dates, and annuity payment data. - In various embodiments,
input module 314 is configured to receive input from one or more user interface elements. For example, the patent portfolio and annuity management system 102 (FIG. 1 ) may present multiple user interfaces to users. These user interfaces may enable users to input data directly into databases 302-312, instruct themanagement system 102 to retrieve data from patent data stores, and instruct themanagement system 102 to perform various operations on the data in databases 302-312. - Additionally,
input module 314 may be configured to determine the selection of one or more user interface elements by a user and initiate the action associated with the selected user interface element. For example, a user interface element may include a drop-down menu to select a portfolio.Input module 314 may be configured to receive a selection of the portfolio and a drop-down menu. Then,input module 314 may pass the selection to one or more other modules for further processing. For example,display module 320 may update the drop-down menu to indicate the selection of a portfolio. - In various embodiments, parsing
module 316 takes the data that has initially been inputted byinput module 314 and formats it according to the data fields of databases 302-312 as discussed above. For example, consider a patent publication that has been inputted byinput module 314. Parsingmodule 316 may use a combination of automatic image recognition and text analysis to determine the filing date, issue date, title, abstract, and claims of the patent. In some embodiments, parsingmodule 316 may flag certain pieces of data that had been determined to be potentially inaccurate (e.g., a number that could not be read). A user of patent portfolio andannuity management system 102 may then examine the flagged data and manually enter in the information. - The resulting data that has been parsed by parsing
module 316 may then be entered as an entry in one or more of databases 302-312. This may be accomplished by, for example, formulating an SQL query with the parsed information. In various embodiments, parsingmodule 316 may parse multiple pieces of information before generating a database entry. For example,input module 314 may receive a docket number for an issued patent. The docket number may be combined with the information parsed from the issued patent to form an entry inmatter database 306. - In various embodiments,
analytics module 318 is configured to examine and run calculations on the data stored in the databases 302-312 to generate the analytics discussed previously. For example,analytics module 318 may formulate an SQL query that retrieves the number of times that a prior art reference has been cited within a portfolio. This query may be run for each prior art cited within the portfolio to determine a list of the most cited (e.g., the top ten) prior art references within a portfolio. In an embodiment, the queries are formulated and run as requested by a user. In an embodiment, once the analytics information has been determined, it is stored withinanalytics database 312. In various embodiments, queries are formulated and run on a periodic basis (e.g., nightly) and entries inanalytics database 312 may be updated to reflect any changes. - In an embodiment,
display module 320 is configured to display user interfaces and information retrieved from one or more databases 302-312. For example,display module 320 may generateuser interface 200 ofFIG. 2 . If a user is accessing patent portfolio and annuity management system 102 (FIG. 1 ) remotely (e.g., through a web browser),display module 320 may be configured to transmit data representing a user interface through a network to a user terminal 104 (FIG. 1 ). In various embodiments,display module 320 is configured to generate one or more charts of data stored in databases 302-312. For example,display module 320 may generate a pie chart of the top 10 inventors within a portfolio. - In various embodiments,
filtering module 322 is configured to filter a set of matters according to a user preference. For example, a user may activate a check box that indicates only pending matters should be shown in a user interface.Filtering module 322 may formulate a query consistent with retrieving only pending matters. The results of the query may then be shared withdisplay module 320, where the user interface may be updated. - In various embodiments,
mapping module 324 is configured to receive or generate mappings from a product to a matter. This may be accomplished, for example, by receiving a selection of a product and a matter by the user. The product may be one or more of the products stored inproduct database 310. In various embodiments,mapping module 324 is configured to present an automated mapping of the product to a matter for the user to confirm or deny. For example,mapping module 324 may present a claim chart for an issued patent to a user. As discussed, the claim chart includes one or more scope concepts to which one or more the claims of the patent are limited. In conjunction withinput module 314,mapping module 324 may receive selections of the user of one or more of the scope concepts that are potentially affiliated with the product. Thus, a comparison may be made between what the claims are limited to and what the product may be. For example, if a product, as defined by the selection of one or more scope concepts by the user, is affiliated toward scope concepts A, B, and C, and claim 1 of the patent has been mapped to scope concepts A, B, and C, themapping module 324 may present an option to map the product to the patent. In various embodiments, the user may override this recommendation and select to not map the product to the patent. Similarly, a user may indicate that a product is affiliated with the patent even if the scope concepts do not match. - In various embodiments, the
mapping module 324 is configured to receive or generate mappings from prior art to a matter. This may be accomplished, for example, by receiving a selection of prior art and a matter by the user. The selection of the prior art may be based on cited references or through other external prior art search. The selections may be conducted manually, by a user, or automatically, byanalytics module 318, for example. In various embodiments,mapping module 324 is configured to present an automated mapping of the prior art to a matter for the user to review. In various embodiments, themapping module 324 can be configured to carry out any of the keyword analysis described above in relation toanalytics module 318, or to map products stored inproduct database 310. - In an embodiment, once the product or prior art mapping information has been determined, it is stored within
analytics database 312 ormatter database 306. In various embodiments, queries are formulated and run on a periodic basis (e.g., nightly), and entries inanalytics database 312 ormatter database 306 may be updated to reflect any changes. - In one example embodiment, an annuity system or service tracks annuity payments due for a patent owner (like a large US or European company “EC”, for example) listing payments in US dollars. The system has software that dockets a due date for each patent to generate tracking data. At a specified date in advance of the due date, for example 3 or 6 months, the software prices out how much it would cost to buy a forward contract of currency equal to the total amount of fees due on all patents being tracked that are coming due on that particular date, or due within a date range, like all fees due in a calendar month. In an alternate embodiment, this can be done for one patent at a time. The cost of the forward contract is then apportioned to all the patents pro-rata based on the actual annuity fee, for the purpose of showing how much it will cost to pay each maintenance fee. The system provides the pricing infrastructure to support this transaction. The pricing infrastructure and functionality may be included in one or more of the modules described herein, for example the
analytics module 318 or thepayment module 326 described further below. - In an example method embodiment, a patent owner (EC) signs up to use the annuity service. The service generates, synchronizes or receives the tracking data. In an example embodiment, the tracking data is received from the EC's existing annuity payment service, for example Computer Patent Annuities (CPA). On a specified day in advance of when a batch of annuity payments are due in a foreign patent office (the EPO, for example), the service prices a forward contract for that batch of patent annuities using forward contract rates from a participating bank. The price of the currency may be provided to the patent owner directly, or provided to an annuity payment company (APC), which in turn uses the information to send upcoming payment reports to the patent owner with, for example, a list of annuities due and an amount for each payment. The patent owner can instruct the APC to make payments in US dollars. The APC may notify the service or the participating bank on how much to send to the foreign patent office to cover the cost of payment for the list of annuities to be paid. The participating bank may wire or transfer funds to a foreign patent office account. In an example embodiment, this step (or any of the other steps) may be automated.
- In an example embodiment, the patent owner (EC) may pay the participating bank directly for the cost of the annuities. In another embodiment, the APC pays the participating bank and the APC collects from the patent owner or the existing annuity service (CPA for example). The method can be replicated to pay fees in any country.
- In an example embodiment of the system or service, a user could either have a default forward date or pick a specific date dynamically as the forward date. In an example embodiment, a user interface is integrated into a patent office payment system. In an example embodiment, the pricing for one or more annuity payments is dynamically quoted during the payment authorization process. The price may be locked with the order to pay the one or more annuities. A credit card or account of the patent owner may be charged later than the annuity due date or a date before that.
- In various embodiments,
payment module 326 is configured to receive selections, or tags, by the user of which annuities to pay for matters in a portfolio or registry listing, for example. Additionally,payment module 326 may receive user preferences related to the payment of the annuities.Payment module 326 may receive payment information from a user and forward the payment information to the appropriate agency/office. In some embodiments, the annuity management system 102 (FIG. 1 ) organizes payment of the annuity on behalf of the user, and the user pays patent portfolio andannuity management system 102. - Any of the databases 302-312 or modules 314-326 described above may be used or configured partially or entirely as appropriate to perform one or more of the annuity payment or management functions described herein, or as set forth below in the following method steps.
- Some embodiments of the present inventive subject matter include methods for making or managing annuity payments. One such embodiment is illustrated in
FIG. 4A . In this example embodiment, amethod 400 comprises: at 402, tracking one or more patent annuity payments due on at least one patent for a user; at 404, docketing a due date for at least one of the annuity payments; at 406, in advance of the due date, identifying the cost of a forward contract to obtain or purchase currency equal to a total amount payable of the at least one annuity payment; and at 408, providing the cost of the forward contract to the user. - In an example embodiment, the
method 400 further comprises receiving, in response to providing the cost of the forward contract, annuity payment instructions from the user. Themethod 400 may further comprise paying, or arranging to have paid, at least one annuity payment based on the received instructions. The at least one annuity payment may be due on a foreign patent and the currency may be a foreign currency. The due date of the at least one annuity payment may fall within a specified period, and the cost identification may occur on a date in advance of the specified period. - In an example embodiment, the
method 400 further comprises receiving data identifying one or both of the specified period and the cost identification date from the user. - In an example embodiment, the
method 400 further comprises apportioning at least one component of the cost of the forward contract across a plurality of tracked annuity payments. The component may be one or more of an interest charge, a currency conversion charge, and a bank or service charge relating to at least one aspect of the forward contract. The apportionment may be performed pro-rata based on a base cost of each annuity payment in the plurality of annuity payments. - Another method embodiment is illustrated in
FIG. 4B . In this example embodiment, amethod 410 comprises; at 412, allowing a user to register with the service and to identify at least one patent on which an annuity is payable; at 414, generating, synchronizing or receiving annuity tracking data relating to the at least one patent, the tracking data including a due date of the annuity payment, and identifying, in a first currency, the amount payable on the annuity payment; at 416, pricing, in advance of the due date and using forward contract rates from a participating bank, a forward contract for obtaining currency to have the annuity payment paid in a second currency; and at 418, providing the contract pricing to the user or a third party. - In an example embodiment, the
method 410 further comprises receiving, in response to providing the contract pricing, annuity payment instructions from the user or the third party. Themethod 410 may further comprise paying, or arranging to have paid, the annuity payment based on the received instructions. Themethod 410 may yet further comprise receiving, from the user or the third party and in the first currency, funds at least including the amount payable on the annuity payment; and paying, or arranging to have paid, the annuity payment in the second currency. The tracking data may include data received from a third party annuity service, or a patent office. - In an example embodiment, the annuity payment is included in a batch of annuity payments due in a specified period, and the forward contract may include at least a total amount due for all the annuity payments in the batch. At least a portion of an interest or service charge included in the forward contract may be apportioned across the batch of annuity payments. The apportionment may be performed pro-rata based on a base cost of each annuity payment in the batch. The third party may be an annuity payment service provider. In an example embodiment, the pricing of the forward contract is dynamically quoted to the user or third party in advance of the due date.
- Any of the example methods may be computer-implemented and any one or more of the above-cited method steps including tracking, docketing, identifying and providing may be performed by at least one processor. The at least one processor may be included in one or more modules, including hardware-implemented modules of the type described herein.
- Certain embodiments are described herein as including logic or a number of components, modules, or mechanisms. Modules may constitute either software modules (e.g., code embodied (1) on a non-transitory machine-readable medium or (2) in a transmission signal) or hardware-implemented modules. A hardware-implemented module is a tangible unit capable of performing certain operations and may be configured or arranged in a certain manner. In example embodiments, one or more computer systems (e.g., a standalone, client, or server computer system) or one or more processors may be configured by software (e.g., an application or application portion) as a hardware-implemented module that operates to perform certain operations as described herein.
- In various embodiments, a hardware-implemented module may be implemented mechanically or electronically. For example, a hardware-implemented module may comprise dedicated circuitry or logic that is permanently configured (e.g., as a special-purpose processor, such as a field programmable gate array (FPGA) or an application-specific integrated circuit (ASIC)) to perform certain operations. A hardware-implemented module may also comprise programmable logic or circuitry (e.g., as encompassed within a general-purpose processor or other programmable processor) that is temporarily configured by software to perform certain operations. It will be appreciated that the decision to implement a hardware-implemented module mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software) may be driven by cost and time considerations.
- Accordingly, the term “hardware-implemented module” should be understood to encompass a tangible entity, be that an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily or transitorily configured (e.g., programmed) to operate in a certain manner and/or to perform certain operations described herein. Considering embodiments in which hardware-implemented modules are temporarily configured (e.g., programmed), each of the hardware-implemented modules need not be configured or instantiated at any one instance in time. For example, where the hardware-implemented modules comprise a general-purpose processor configured using software, the general-purpose processor may be configured as respective different hardware-implemented modules at different times. Software may accordingly configure a processor, for example, to constitute a particular hardware-implemented module at one instance of time and to constitute a different hardware-implemented module at a different instance of time.
- Hardware-implemented modules can provide information to, and receive information from, other hardware-implemented modules. Accordingly, the described hardware-implemented modules may be regarded as being communicatively coupled. Where multiple of such hardware-implemented modules exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) that connect the hardware-implemented modules. In embodiments in which multiple hardware-implemented modules are configured or instantiated at different times, communications between such hardware-implemented modules may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware-implemented modules have access. For example, one hardware-implemented module may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware-implemented module may then, at a later time, access the memory device to retrieve and process the stored output. Hardware-implemented modules may also initiate communications with input or output devices and can operate on a resource (e.g., a collection of information).
- The various operations of example methods described herein may be performed, at least partially, by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented modules that operate to perform one or more operations or functions. The modules referred to herein may, in some example embodiments, comprise processor-implemented modules.
- Similarly, the methods described herein may be at least partially processor-implemented. For example, at least some of the operations of a method may be performed by one or more processors or processor-implemented modules. The performance of certain of the operations may be distributed among the one or more processors, not only residing within a single machine, but deployed across a number of machines. In some example embodiments, the processor or processors may be located in a single location (e.g., within a home environment, an office environment, or as a server farm), while in other embodiments the processors may be distributed across a number of locations.
- The one or more processors may also operate to support performance of the relevant operations in a “cloud computing” environment or as a “software as a service” (SaaS). For example, at least some of the operations may be performed by a group of computers (as examples of machines including processors), with these operations being accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., APIs).
- Example embodiments may be implemented in digital electronic circuitry, or in computer hardware, firmware, or software, or in combinations of them. Example embodiments may be implemented using a computer program product, e.g., a computer program tangibly embodied in an information carrier, e.g., in a machine-readable medium for execution by, or to control the operation of, data processing apparatus, e.g., a programmable processor, a computer, or multiple computers.
- A computer program can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, subroutine, or other unit suitable for use in a computing environment. A computer program can be deployed to be executed on one computer or on multiple computers at one site or distributed across multiple sites and interconnected by a communication network.
- In example embodiments, operations may be performed by one or more programmable processors executing a computer program to perform functions by operating on input data and generating output. Method operations can also be performed by, and apparatus of example embodiments may be implemented as, special purpose logic circuitry (e.g., a FPGA or an ASIC).
- The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. In embodiments deploying a programmable computing system, it will be appreciated that both hardware and software architectures usually require consideration. Specifically, it will be appreciated that the choice of whether to implement certain functionality in permanently configured hardware (e.g., an ASIC), in temporarily configured hardware (e.g., a combination of software and a programmable processor), or a combination of permanently and temporarily configured hardware may be a design choice. Below are set out hardware (e.g., machine) and software architectures that may be deployed in various example embodiments.
-
FIG. 5 is a block diagram of a machine in the example form of acomputer system 500 within which instructions for causing the machine to perform any one or more of the methodologies discussed herein may be executed. In alternative embodiments, the machine operates as a standalone device or may be connected (e.g., networked) to other machines. In a networked deployment, the machine may operate in the capacity of a server or a client machine in server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The machine may be a personal computer (PC), a tablet PC, a set-top box (STB), a PDA, a cellular telephone, a web appliance, a network router, switch or bridge, or any machine capable of executing instructions (sequential or otherwise) that specify actions to be taken by that machine. Further, while only a single machine is illustrated, the term “machine” shall also be taken to include any collection of machines that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methodologies discussed herein. - The
example computer system 500 includes a processor 502 (e.g., a central processing unit (CPU), a graphics processing unit (GPU) or both), amain memory 504 and astatic memory 506, which communicate with each other via a bus 508. Thecomputer system 500 may further include a video display unit 510 (e.g., a liquid crystal display (LCD) or a cathode ray tube (CRT)). Thecomputer system 500 also includes an alphanumeric input device 512 (e.g., a keyboard), a user interface (UI) navigation or cursor control device 514 (e.g., a mouse), adisk drive unit 516, a signal generation device 518 (e.g., a speaker) and anetwork interface device 520. - The
disk drive unit 516 includes a machine-readable medium 522 on which is stored one or more set of data structures and instructions 524 (e.g., software) embodying or utilized by any one or more of the methodologies or functions described herein. Theinstructions 524 may also reside, completely or at least partially, within themain memory 504 and/or within theprocessor 502 during execution thereof by thecomputer system 500, with themain memory 504 and theprocessor 502 also constituting machine-readable media. - While the machine-
readable medium 522 is shown in an example embodiment to be a single medium, the term “machine-readable medium” may include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more data structures orinstructions 524. The term “machine-readable medium” shall also be taken to include any tangible medium that is capable of storing, encoding, or carrying instructions for execution by the machine and that cause the machine to perform any one or more of the methodologies of the embodiments of the present invention, or that is capable of storing, encoding or carrying data structures utilized by or associated with such instructions. The term “machine-readable medium” shall accordingly be taken to include, but not be limited to, solid-state memories and optical and magnetic media. Specific examples of machine-readable media include non-volatile memory, including, by way of example, semiconductor memory devices (e.g., Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), and flash memory devices); magnetic disks such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks. - The
instructions 524 may further be transmitted or received over acommunications network 526 using a transmission medium. Theinstructions 524 may be transmitted using thenetwork interface device 520 and any one of a number of well-known transfer protocols (e.g., Hypertext Transfer Protocol “HTTP”). Examples of communication networks include a LAN, a WAN, the Internet, mobile telephone networks, plain old telephone (POTS) networks, and wireless data networks (e.g., WiFi and WiMax networks). The term “transmission medium” shall be taken to include any intangible medium that is capable of storing, encoding or carrying instructions for execution by the machine, and includes digital or analog communications signals or other intangible media to facilitate communication of such software. - Although an embodiment has been described with reference to specific example embodiments, it will be evident that various modifications and changes may be made to these embodiments without departing from the broader spirit and scope of the disclosure. Accordingly, the specification and drawings are to be regarded in an illustrative rather than a restrictive sense. The accompanying drawings that form a part hereof show, by way of illustration, and not of limitation, specific embodiments in which the subject matter may be practiced. The embodiments illustrated are described in sufficient detail to enable those skilled in the art to practice the teachings disclosed herein. Other embodiments may be utilized and derived therefrom, such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure. This Detailed Description, therefore, is not to be taken in a limiting sense, and the scope of various embodiments is defined only by the appended claims, along with the full range of equivalents to which such claims are entitled.
- Such embodiments of the inventive subject matter may be referred to herein, individually and/or collectively, by the term “invention” merely for convenience and without intending to voluntarily limit the scope of this application to any single invention or inventive concept if more than one is in fact disclosed. Thus, although specific embodiments have been illustrated and described herein, it should be appreciated that any arrangement calculated to achieve the same purpose may be substituted for the specific embodiments shown. This disclosure is intended to cover any and all adaptations or variations of various embodiments. Combinations of the above embodiments, and other embodiments not specifically described herein, will be apparent to those of skill in the art upon reviewing the above description.
- The Abstract of the Disclosure is provided to comply with 37 C.F.R.§1.72(b), requiring an abstract that will allow the reader to quickly ascertain the nature of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. In addition, in the foregoing Detailed Description, it can be seen that various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed embodiment. Thus the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separate embodiment.
Claims (18)
1. A method comprising:
tracking one or more patent annuity payments due on at least one patent for a user;
docketing a due date for at least one of the annuity payments;
in advance of the due date, identifying a cost of a forward contract to obtain or purchase currency equal to a total amount payable of the at least one annuity payment; and
providing the cost of the forward contract to the user.
2. The method of claim 1 , further comprising receiving, in response to providing the cost of the forward contract, annuity payment instructions from the user.
3. The method of claim 2 further comprising paying, or arranging to have paid, at least one annuity payment based on the received instructions.
4. The method of claim 1 , wherein the at least one annuity payment is due on a foreign patent and the currency is a foreign currency.
5. The method of claim 1 , wherein the due date of the at least one annuity payment falls within a specified period, and the cost identification occurs on a date in advance of the specified period.
6. The method of claim 5 , further comprising receiving data identifying one or both of the specified period and the cost identification date from the user.
7. The method of claim 1 , further comprising apportioning at least one component of the cost of the forward contract across a plurality of tracked annuity payments.
8. The method of claim 7 , wherein the at least one component is one or more of an interest charge, a currency conversion charge, and a bank or service charge relating to at least one aspect of the forward contract.
9. The method of claim 7 , wherein the apportionment is performed pro-rata based on a base cost of each annuity payment in the plurality of annuity payments.
10. The method of claim 1 , wherein the method is computer-implemented and wherein one or more of the tracking, docketing, identifying and providing is performed by at least one processor.
11. A method of providing a patent annuity payment service, the method comprising:
allowing a user to register with the service and to identify at least one patent on which an annuity is payable;
generating, synchronizing or receiving annuity tracking data relating to the at least one patent, the tracking data including a due date of an annuity payment;
identifying, in a first currency, an amount payable on the annuity payment;
pricing, in advance of the due date and using forward contract rates from a participating bank, a forward contract for obtaining currency to have the annuity payment paid in a second currency; and
providing the contract pricing to the user or a third party.
12-20. (canceled)
21. An annuity payment management system comprising at least one hardware-implemented module including at least one processor to:
track one or more patent annuity payments due on at least one patent for a user;
docket a due date for at least one of the annuity payments;
in advance of the due date, identify a cost of a forward contract to obtain or purchase currency equal to a total amount payable on the at least one annuity payment; and
provide the cost of the forward contract to the user.
22-27. (canceled)
30. An annuity payment management system, the system comprising at least one hardware-implemented module including at least one processor to:
allow a user to register with the system and to identify at least one patent on which an annuity is payable;
generate, synchronize or receive annuity tracking data relating to the at least one patent, the tracking data including a due date of an annuity payment;
identify, in a first currency, an amount payable on the annuity payment;
price, in advance of the due date and using forward contract rates from a participating bank, a forward contract for obtaining currency to have the annuity payment paid in a second currency; and
provide the contract pricing to the user or a third party.
31-39. (canceled)
40. An annuity payment management system comprising:
a network;
at least one database, accessible on the network, the database including data relating to annuity payments due on patents or applications registered at a patent office;
a server, operatively connected to the network, wherein the server includes:
a processor,
a memory,
software operable on the processor to:
track one or more patent annuity payments due on at least one patent in the database;
docket a due date for at least one of the annuity payments;
in advance of the due date, identify a cost of a forward contract to obtain or purchase currency equal to a total amount payable on the at least one annuity payment; and
provide the cost of the forward contract to a user.
41. An annuity payment management system comprising:
a network;
at least one database, accessible on the network, the database including data relating to annuity payments due on patents or applications registered at a patent office;
a server, operatively connected to the network, wherein the server includes:
a processor,
a memory,
software operable on the processor to:
allow a user to register with the system and to identify at least one patent on which an annuity is payable;
generate, synchronize or receive annuity tracking data relating to the at least one patent, the tracking data including a due date of an annuity payment;
identify, in a first currency, an amount payable on the annuity payment;
price, in advance of the due date and using forward contract rates from a participating bank, a forward contract for obtaining currency to have the annuity payment paid in a second currency; and
provide the contract pricing to the user or a third party.
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US13/309,060 Active 2032-12-12 US9940363B2 (en) | 2011-10-03 | 2011-12-01 | Systems, methods and user interfaces in a patent management system |
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US13/309,200 Active US10268731B2 (en) | 2011-10-03 | 2011-12-01 | Patent mapping |
US13/309,166 Active US10242066B2 (en) | 2011-10-03 | 2011-12-01 | Systems, methods and user interfaces in a patent management system |
US13/310,368 Active US10628429B2 (en) | 2011-10-03 | 2011-12-02 | Patent mapping |
US13/310,279 Active 2033-01-31 US11294910B2 (en) | 2011-10-03 | 2011-12-02 | Patent claim mapping |
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US13/310,417 Abandoned US20130086084A1 (en) | 2011-10-03 | 2011-12-02 | Patent mapping |
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US13/312,507 Active 2033-07-03 US9286351B2 (en) | 2011-10-03 | 2011-12-06 | System and method for patent and prior art analysis |
US13/351,533 Abandoned US20130085947A1 (en) | 2011-10-03 | 2012-01-17 | System and method for patent white space analysis |
US13/408,877 Abandoned US20130085911A1 (en) | 2011-10-03 | 2012-02-29 | Patent registry architecture with direct patent office payment conduit |
US13/408,917 Abandoned US20130085933A1 (en) | 2011-10-03 | 2012-02-29 | Patent registry architecture with portal for external annuity payment service providers |
US13/409,189 Abandoned US20130085912A1 (en) | 2011-10-03 | 2012-03-01 | Patent registry architecture |
US13/422,750 Abandoned US20130085948A1 (en) | 2011-10-03 | 2012-03-16 | Patent rating |
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US14/094,542 Abandoned US20140089210A1 (en) | 2011-10-03 | 2013-12-02 | Patent continuation analysis |
US14/826,018 Active US9858319B2 (en) | 2011-10-03 | 2015-08-13 | Patent mapping |
US14/826,025 Abandoned US20150348217A1 (en) | 2011-10-03 | 2015-08-13 | Patent rating |
US15/057,047 Active US9679019B2 (en) | 2011-10-03 | 2016-02-29 | System and method for patent and prior art analysis |
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US17/584,343 Active US11789954B2 (en) | 2011-10-03 | 2022-01-25 | System and method for patent and prior art analysis |
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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US11048709B2 (en) | 2011-10-03 | 2021-06-29 | Black Hills Ip Holdings, Llc | Patent mapping |
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US11461862B2 (en) | 2012-08-20 | 2022-10-04 | Black Hills Ip Holdings, Llc | Analytics generation for patent portfolio management |
US11714839B2 (en) | 2011-05-04 | 2023-08-01 | Black Hills Ip Holdings, Llc | Apparatus and method for automated and assisted patent claim mapping and expense planning |
Families Citing this family (67)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20010049707A1 (en) * | 2000-02-29 | 2001-12-06 | Tran Bao Q. | Systems and methods for generating intellectual property |
WO2006128183A2 (en) | 2005-05-27 | 2006-11-30 | Schwegman, Lundberg, Woessner & Kluth, P.A. | Method and apparatus for cross-referencing important ip relationships |
US20140289675A1 (en) * | 2009-08-20 | 2014-09-25 | Tyron Jerrod Stading | System and Method of Mapping Products to Patents |
KR101247252B1 (en) * | 2011-05-09 | 2013-03-25 | 한국생산기술연구원 | Convergence Index Service System |
KR101247250B1 (en) * | 2011-05-09 | 2013-03-25 | 한국생산기술연구원 | Method on Producing Score of Convergence Index |
US9542449B2 (en) | 2012-04-09 | 2017-01-10 | Search For Yeti, LLC | Collaboration and analysis system for disparate information sources |
US20130304738A1 (en) * | 2012-05-11 | 2013-11-14 | International Business Machines Corporation | Managing multimedia information using dynamic semantic tables |
US20140180934A1 (en) * | 2012-12-21 | 2014-06-26 | Lex Machina, Inc. | Systems and Methods for Using Non-Textual Information In Analyzing Patent Matters |
US9693691B2 (en) * | 2013-01-18 | 2017-07-04 | ZOLL Medical Corpoaration | Systems and methods for determining spatial locations of patient data gathering devices |
US20160048936A1 (en) * | 2013-03-15 | 2016-02-18 | Search For Yeti, LLC | Computer-Implemented Methods of and Systems for Analyzing Patent Claims |
US20140372433A1 (en) * | 2013-06-12 | 2014-12-18 | The Patent Box, Llc | Analysis of Event Driven Information |
US10706092B1 (en) | 2013-07-28 | 2020-07-07 | William S. Morriss | Error and manipulation resistant search technology |
US11556606B1 (en) * | 2013-12-17 | 2023-01-17 | Nimvia, LLC | Graphical user interfaces (GUIs) including outgoing USPTO correspondence for use in patent case management and docketing |
JP2015125484A (en) * | 2013-12-25 | 2015-07-06 | 株式会社レイテック | Patent portfolio management device and method |
US20150254576A1 (en) * | 2014-03-05 | 2015-09-10 | Black Hills Ip Holdings, Llc | Systems and methods for analyzing relative priority for a group of patents |
US20150269263A1 (en) * | 2014-03-24 | 2015-09-24 | Computer Software Associates, Inc. | Method, system, and program product for creating reports for intellectual property |
JP6405112B2 (en) * | 2014-04-18 | 2018-10-17 | キヤノン株式会社 | Information processing apparatus and control method thereof |
WO2015190485A1 (en) * | 2014-06-10 | 2015-12-17 | アスタミューゼ株式会社 | Method, system, and program for evaluating intellectual property right |
CN105069004A (en) * | 2015-06-23 | 2015-11-18 | 惠州学院 | Patent information automatic collection method |
US20180285995A1 (en) * | 2015-09-25 | 2018-10-04 | Nec Patent Service,Ltd. | Information processing device, information processing method, and program-recording medium |
JP6775935B2 (en) * | 2015-11-04 | 2020-10-28 | 株式会社東芝 | Document processing equipment, methods, and programs |
EP3211573A1 (en) * | 2016-02-23 | 2017-08-30 | Tata Consultancy Services Limited | Systems and methods for generating strategic competitive intelligence data relevant for an entity |
JP6602243B2 (en) | 2016-03-16 | 2019-11-06 | 株式会社東芝 | Learning apparatus, method, and program |
US11334800B2 (en) * | 2016-05-12 | 2022-05-17 | International Business Machines Corporation | Altering input search terms |
CN106502976A (en) * | 2016-11-03 | 2017-03-15 | 济南大学 | A kind of method that solving job shop scheduling problem Gantt chart is generated based on Excel and VB |
JP6622172B2 (en) | 2016-11-17 | 2019-12-18 | 株式会社東芝 | Information extraction support device, information extraction support method, and program |
CN106777103B (en) * | 2016-12-15 | 2020-07-07 | 北京科华万象科技有限公司 | Patent file indexing method and device |
US10282603B2 (en) | 2017-01-09 | 2019-05-07 | International Business Machines Corporation | Analyzing technical documents against known art |
US10425353B1 (en) | 2017-01-27 | 2019-09-24 | Triangle Ip, Inc. | Machine learning temporal allocator |
US10747953B1 (en) | 2017-07-05 | 2020-08-18 | Specifio, Inc. | Systems and methods for automatically creating a patent application based on a claim set such that the patent application follows a document plan inferred from an example document |
US10713443B1 (en) * | 2017-06-05 | 2020-07-14 | Specifio, Inc. | Machine learning model for computer-generated patent applications to provide support for individual claim features in a specification |
US11593564B2 (en) | 2017-02-15 | 2023-02-28 | Specifio, Inc. | Systems and methods for extracting patent document templates from a patent corpus |
US10621371B1 (en) | 2017-03-30 | 2020-04-14 | Specifio, Inc. | Systems and methods for facilitating editing of a confidential document by a non-privileged person by stripping away content and meaning from the document without human intervention such that only structural and/or grammatical information of the document are conveyed to the non-privileged person |
US10417341B2 (en) | 2017-02-15 | 2019-09-17 | Specifio, Inc. | Systems and methods for using machine learning and rules-based algorithms to create a patent specification based on human-provided patent claims such that the patent specification is created without human intervention |
CN110574102B (en) * | 2017-05-11 | 2023-05-16 | 株式会社村田制作所 | Information processing system, information processing apparatus, recording medium, and dictionary database updating method |
US10922771B2 (en) | 2017-05-12 | 2021-02-16 | Bayo Odutola | System and method for detecting, profiling and benchmarking intellectual property professional practices and the liability risks associated therewith |
CN107610005A (en) * | 2017-11-03 | 2018-01-19 | 王少琼 | A kind of patent service procedure management system and its implementation |
US10896174B2 (en) * | 2017-12-01 | 2021-01-19 | Business Objects Software Limited | Sharing artifacts with heterogeneous database connectivity |
CN108074134A (en) * | 2017-12-26 | 2018-05-25 | 广州大汗科技有限公司 | A kind of new material technology transfer service manages system |
EP3785138A4 (en) * | 2018-04-23 | 2022-01-19 | Nowotarski, Mark S. | System performance monitor with graphical user interface |
US11194956B2 (en) * | 2018-04-30 | 2021-12-07 | Patent Bots LLC | Offline interactive natural language processing results |
WO2020012116A1 (en) | 2018-07-09 | 2020-01-16 | Arkyan | Method, device and information medium for estimating the chances and/or probable date of granting a patent application |
US11568493B2 (en) * | 2018-07-25 | 2023-01-31 | Jzanus I.T. Services, Llc | Computing device with improved user interface for collection based on patient services provided by a health care provider |
US20210312577A1 (en) * | 2018-08-23 | 2021-10-07 | Foshan City Mu Ji Information Technology Ltd. | User-centric patent valuation-transaction system |
US20200073980A1 (en) * | 2018-08-30 | 2020-03-05 | Black Hills Ip Holdings, Llc | Maintaining docketing data integrity |
TWI698794B (en) * | 2018-10-23 | 2020-07-11 | 雲拓科技有限公司 | Auto-obtaining display equipment for guidance content of graphic data of patent document |
CN109614465A (en) * | 2018-11-13 | 2019-04-12 | 中科创达软件股份有限公司 | Data processing method, device and electronic equipment based on citation relations |
US20200175626A1 (en) * | 2018-12-03 | 2020-06-04 | International Business Machines Corporation | Analyzing patent value in organizational patent portfolio strategy |
JP6550583B1 (en) * | 2018-12-11 | 2019-07-31 | 株式会社AI Samurai | Patent map display device, patent map display method, and patent map display program |
CN109902168B (en) * | 2019-01-25 | 2022-02-11 | 北京创新者信息技术有限公司 | Patent evaluation method and system |
CN112927106A (en) * | 2019-02-20 | 2021-06-08 | 深圳大维理文科技有限公司 | Inventor identification method and inventor identification system |
US10565445B1 (en) * | 2019-04-11 | 2020-02-18 | Capital One Services, Llc | Systems and methods for comparing legal clauses |
CN110223201B (en) * | 2019-06-06 | 2021-09-17 | 南京睦泽信息科技有限公司 | Intellectual property operation management system based on visualization |
CN112307055A (en) * | 2019-07-26 | 2021-02-02 | 傲为信息技术(江苏)有限公司 | Retrieval method of technical open type digital assets |
IT201900016040A1 (en) * | 2019-09-10 | 2021-03-10 | Mariacristina Giovanna Ida Rapisardi | DEVICE FOR MANAGING AN INDUSTRIAL PROPERTY PORTFOLIO MANAGED BY AN ARTIFICIAL INTELLIGENCE |
US11238235B2 (en) | 2019-09-18 | 2022-02-01 | International Business Machines Corporation | Automated novel concept extraction in natural language processing |
US20230063363A1 (en) * | 2020-03-24 | 2023-03-02 | Innovation Exchange Llc | System and method for drafting at least a portion of a patent application, facilitating assignment of the patent application or combinations thereof |
US11132412B1 (en) * | 2020-03-31 | 2021-09-28 | Black Hills Ip Holdings, Llc | User interface for providing docketing data |
DE102020115209A1 (en) | 2020-06-08 | 2021-12-09 | Erich Netzsch Gmbh & Co. Holding Kg | System and procedure for testing the technical applicability of industrial property rights |
US11822561B1 (en) | 2020-09-08 | 2023-11-21 | Ipcapital Group, Inc | System and method for optimizing evidence of use analyses |
US20220101464A1 (en) * | 2020-09-30 | 2022-03-31 | Aon Risk Services, Inc. Of Maryland | Intellectual-Property Landscaping Platform |
US11847169B2 (en) * | 2020-12-18 | 2023-12-19 | Shanghai Henghui Intellectual Property Service Co., Ltd. | Method for data processing and interactive information exchange with feature data extraction and bidirectional value evaluation for technology transfer and computer used therein |
US20220398273A1 (en) * | 2021-06-11 | 2022-12-15 | UnitedLex Corp. | Software-aided consistent analysis of documents |
US11244005B1 (en) * | 2021-07-12 | 2022-02-08 | Jeffrey Boettcher | System for amplifying user online visibility and credibility |
US20230047250A1 (en) * | 2021-08-13 | 2023-02-16 | Black Hills Ip Holdings, Llc | Document splitting tool |
KR20230057114A (en) * | 2021-10-21 | 2023-04-28 | 삼성전자주식회사 | Method and apparatus for deriving keywords based on technical document database |
JP7421740B1 (en) | 2023-09-12 | 2024-01-25 | Patentfield株式会社 | Analysis program, information processing device, and analysis method |
Family Cites Families (539)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2156112A (en) | 1984-03-20 | 1985-10-02 | Brian Ledwith | Data processing system and method |
US5553226A (en) | 1985-03-27 | 1996-09-03 | Hitachi, Ltd. | System for displaying concept networks |
US5696916A (en) | 1985-03-27 | 1997-12-09 | Hitachi, Ltd. | Information storage and retrieval system and display method therefor |
US5404506A (en) | 1985-03-27 | 1995-04-04 | Hitachi, Ltd. | Knowledge based information retrieval system |
JPS61220027A (en) | 1985-03-27 | 1986-09-30 | Hitachi Ltd | Information memory system |
US5175681A (en) * | 1985-12-27 | 1992-12-29 | Sony Corporation | Computerized system for managing preparation and prosecution of applications in various countries for protection of industrial property rights |
US6182062B1 (en) | 1986-03-26 | 2001-01-30 | Hitachi, Ltd. | Knowledge based information retrieval system |
US4807154A (en) | 1987-01-29 | 1989-02-21 | International Business Machines Corporation | Method for developing automatic replies in an interactive electronic calendaring system |
US5557515A (en) | 1989-08-11 | 1996-09-17 | Hartford Fire Insurance Company, Inc. | Computerized system and method for work management |
JP2943447B2 (en) | 1991-01-30 | 1999-08-30 | 三菱電機株式会社 | Text information extraction device, text similarity matching device, text search system, text information extraction method, text similarity matching method, and question analysis device |
JPH05303531A (en) | 1991-01-31 | 1993-11-16 | Fields Software Group Inc | Electronic system and method for processing format |
US5592664A (en) | 1991-07-29 | 1997-01-07 | Borland International Inc. | Database server system with methods for alerting clients of occurrence of database server events of interest to the clients |
GB2260007A (en) | 1991-09-20 | 1993-03-31 | Hitachi Ltd | Information storage/retrieval system and display method |
US5329447A (en) | 1992-03-12 | 1994-07-12 | Leedom Jr Charles M | High integrity computer implemented docketing system |
JPH06176081A (en) | 1992-12-02 | 1994-06-24 | Hitachi Ltd | Hierarchical structure browsing method and device |
US5623681A (en) | 1993-11-19 | 1997-04-22 | Waverley Holdings, Inc. | Method and apparatus for synchronizing, displaying and manipulating text and image documents |
US5623679A (en) | 1993-11-19 | 1997-04-22 | Waverley Holdings, Inc. | System and method for creating and manipulating notes each containing multiple sub-notes, and linking the sub-notes to portions of data objects |
US5991751A (en) * | 1997-06-02 | 1999-11-23 | Smartpatents, Inc. | System, method, and computer program product for patent-centric and group-oriented data processing |
US6339767B1 (en) * | 1997-06-02 | 2002-01-15 | Aurigin Systems, Inc. | Using hyperbolic trees to visualize data generated by patent-centric and group-oriented data processing |
US5799325A (en) | 1993-11-19 | 1998-08-25 | Smartpatents, Inc. | System, method, and computer program product for generating equivalent text files |
US6963920B1 (en) * | 1993-11-19 | 2005-11-08 | Rose Blush Software Llc | Intellectual asset protocol for defining data exchange rules and formats for universal intellectual asset documents, and systems, methods, and computer program products related to same |
US5999907A (en) * | 1993-12-06 | 1999-12-07 | Donner; Irah H. | Intellectual property audit system |
US5548506A (en) | 1994-03-17 | 1996-08-20 | Srinivasan; Seshan R. | Automated, electronic network based, project management server system, for managing multiple work-groups |
US5745745A (en) | 1994-06-29 | 1998-04-28 | Hitachi, Ltd. | Text search method and apparatus for structured documents |
US5706497A (en) * | 1994-08-15 | 1998-01-06 | Nec Research Institute, Inc. | Document retrieval using fuzzy-logic inference |
US5548753A (en) | 1994-09-14 | 1996-08-20 | Johnson Service Company | Automatic electronic mail notification of database events |
US5664063A (en) | 1994-12-01 | 1997-09-02 | International Business Machines Corporation | Automatic user notification of certain meeting attributes of a posted calendar event |
US5530852A (en) | 1994-12-20 | 1996-06-25 | Sun Microsystems, Inc. | Method for extracting profiles and topics from a first file written in a first markup language and generating files in different markup languages containing the profiles and topics for use in accessing data described by the profiles and topics |
US5664714A (en) | 1995-01-18 | 1997-09-09 | Navarro; Jose | Vehicular entertainment component stand |
US5768580A (en) | 1995-05-31 | 1998-06-16 | Oracle Corporation | Methods and apparatus for dynamic classification of discourse |
US5694523A (en) | 1995-05-31 | 1997-12-02 | Oracle Corporation | Content processing system for discourse |
US5907837A (en) | 1995-07-17 | 1999-05-25 | Microsoft Corporation | Information retrieval system in an on-line network including separate content and layout of published titles |
US6006221A (en) | 1995-08-16 | 1999-12-21 | Syracuse University | Multilingual document retrieval system and method using semantic vector matching |
US5699528A (en) | 1995-10-31 | 1997-12-16 | Mastercard International, Inc. | System and method for bill delivery and payment over a communications network |
US5774833A (en) | 1995-12-08 | 1998-06-30 | Motorola, Inc. | Method for syntactic and semantic analysis of patent text and drawings |
US5754840A (en) | 1996-01-23 | 1998-05-19 | Smartpatents, Inc. | System, method, and computer program product for developing and maintaining documents which includes analyzing a patent application with regards to the specification and claims |
US5659729A (en) | 1996-02-01 | 1997-08-19 | Sun Microsystems, Inc. | Method and system for implementing hypertext scroll attributes |
US6076088A (en) | 1996-02-09 | 2000-06-13 | Paik; Woojin | Information extraction system and method using concept relation concept (CRC) triples |
US5758328A (en) | 1996-02-22 | 1998-05-26 | Giovannoli; Joseph | Computerized quotation system and method |
US5926811A (en) | 1996-03-15 | 1999-07-20 | Lexis-Nexis | Statistical thesaurus, method of forming same, and use thereof in query expansion in automated text searching |
US5787411A (en) | 1996-03-20 | 1998-07-28 | Microsoft Corporation | Method and apparatus for database filter generation by display selection |
US5706502A (en) * | 1996-03-25 | 1998-01-06 | Sun Microsystems, Inc. | Internet-enabled portfolio manager system and method |
US5970463A (en) | 1996-05-01 | 1999-10-19 | Practice Patterns Science, Inc. | Medical claims integration and data analysis system |
US5794236A (en) | 1996-05-29 | 1998-08-11 | Lexis-Nexis | Computer-based system for classifying documents into a hierarchy and linking the classifications to the hierarchy |
US5721910A (en) | 1996-06-04 | 1998-02-24 | Exxon Research And Engineering Company | Relational database system containing a multidimensional hierachical model of interrelated subject categories with recognition capabilities |
US5850520A (en) | 1996-07-01 | 1998-12-15 | Electronic Data Systems Corporation | Method and system for electronic publication distribution including return receipt |
US5870745A (en) | 1996-09-26 | 1999-02-09 | Mciworldcom, Inc. | Automated system and method for processing and tracking requests and responses required for repetitive tasks |
US5895468A (en) | 1996-10-07 | 1999-04-20 | Whitmyer, Jr.; Wesley W. | System automating delivery of professional services |
US6049801A (en) | 1996-10-07 | 2000-04-11 | Whitmyer, Jr.; Wesley W. | Web site providing professional services |
US6038561A (en) | 1996-10-15 | 2000-03-14 | Manning & Napier Information Services | Management and analysis of document information text |
US6415319B1 (en) | 1997-02-07 | 2002-07-02 | Sun Microsystems, Inc. | Intelligent network browser using incremental conceptual indexer |
US6460034B1 (en) * | 1997-05-21 | 2002-10-01 | Oracle Corporation | Document knowledge base research and retrieval system |
US5940821A (en) | 1997-05-21 | 1999-08-17 | Oracle Corporation | Information presentation in a knowledge base search and retrieval system |
US5903881A (en) | 1997-06-05 | 1999-05-11 | Intuit, Inc. | Personal online banking with integrated online statement and checkbook user interface |
US6363361B1 (en) | 1997-07-22 | 2002-03-26 | Patent & Trademark Fee Management, Llc | Computerized patent and trademark fee payment method and system for law firms |
US7680733B1 (en) | 1997-07-22 | 2010-03-16 | Patent And Trademark Fee Management, Llc | Computerized patent and trademark fee payment method and system |
US6216128B1 (en) * | 1997-10-09 | 2001-04-10 | Telcordia Technologies, Inc. | System and method for private information retrieval from a single electronic storage device using commodities |
JPH11134399A (en) * | 1997-10-24 | 1999-05-21 | Nec Informatec Systems Ltd | System for preparing description for patent application and method therefor and recording medium recorded with program for preparing description for patent application |
US5991756A (en) | 1997-11-03 | 1999-11-23 | Yahoo, Inc. | Information retrieval from hierarchical compound documents |
US5953726A (en) | 1997-11-24 | 1999-09-14 | International Business Machines Corporation | Method and apparatus for maintaining multiple inheritance concept hierarchies |
US6055538A (en) | 1997-12-22 | 2000-04-25 | Hewlett Packard Company | Methods and system for using web browser to search large collections of documents |
US6738678B1 (en) * | 1998-01-15 | 2004-05-18 | Krishna Asur Bharat | Method for ranking hyperlinked pages using content and connectivity analysis |
US6460043B1 (en) * | 1998-02-04 | 2002-10-01 | Microsoft Corporation | Method and apparatus for operating on data with a conceptual data manipulation language |
US6766315B1 (en) | 1998-05-01 | 2004-07-20 | Bratsos Timothy G | Method and apparatus for simultaneously accessing a plurality of dispersed databases |
US6094652A (en) * | 1998-06-10 | 2000-07-25 | Oracle Corporation | Hierarchical query feedback in an information retrieval system |
US7383294B1 (en) * | 1998-06-30 | 2008-06-03 | Emc Corporation | System for determining the mapping of logical objects in a data storage system |
US6401118B1 (en) * | 1998-06-30 | 2002-06-04 | Online Monitoring Services | Method and computer program product for an online monitoring search engine |
US7840440B2 (en) | 1998-08-06 | 2010-11-23 | Cybersettle Holdings, Inc. | Computerized transaction bargaining system and method |
US6363378B1 (en) * | 1998-10-13 | 2002-03-26 | Oracle Corporation | Ranking of query feedback terms in an information retrieval system |
US6415283B1 (en) * | 1998-10-13 | 2002-07-02 | Orack Corporation | Methods and apparatus for determining focal points of clusters in a tree structure |
US6226792B1 (en) | 1998-10-14 | 2001-05-01 | Unisys Corporation | Object management system supporting the use of application domain knowledge mapped to technology domain knowledge |
US6453312B1 (en) | 1998-10-14 | 2002-09-17 | Unisys Corporation | System and method for developing a selectably-expandable concept-based search |
US20030069873A1 (en) | 1998-11-18 | 2003-04-10 | Kevin L. Fox | Multiple engine information retrieval and visualization system |
AU3109200A (en) * | 1998-12-04 | 2000-06-26 | Technology Enabling Company, Llc | Systems and methods for organizing data |
US6327593B1 (en) | 1998-12-23 | 2001-12-04 | Unisys Corporation | Automated system and method for capturing and managing user knowledge within a search system |
US8095581B2 (en) | 1999-02-05 | 2012-01-10 | Gregory A Stobbs | Computer-implemented patent portfolio analysis method and apparatus |
WO2000052645A1 (en) | 1999-03-01 | 2000-09-08 | Matsushita Electric Industrial Co., Ltd. | Document image processor, method for extracting document title, and method for imparting document tag information |
US6654731B1 (en) * | 1999-03-01 | 2003-11-25 | Oracle Corporation | Automated integration of terminological information into a knowledge base |
US7716060B2 (en) * | 1999-03-02 | 2010-05-11 | Germeraad Paul B | Patent-related tools and methodology for use in the merger and acquisition process |
US7966328B2 (en) * | 1999-03-02 | 2011-06-21 | Rose Blush Software Llc | Patent-related tools and methodology for use in research and development projects |
WO2000054185A1 (en) | 1999-03-08 | 2000-09-14 | The Procter & Gamble Company | Method and apparatus for building a user-defined technical thesaurus using on-line databases |
US6708309B1 (en) * | 1999-03-11 | 2004-03-16 | Roxio, Inc. | Method and system for viewing scalable documents |
US6513027B1 (en) * | 1999-03-16 | 2003-01-28 | Oracle Corporation | Automated category discovery for a terminological knowledge base |
US6405190B1 (en) * | 1999-03-16 | 2002-06-11 | Oracle Corporation | Free format query processing in an information search and retrieval system |
US20020004775A1 (en) | 1999-03-17 | 2002-01-10 | Nir Kossovsky | Online patent and license exchange |
US9141717B2 (en) * | 1999-03-22 | 2015-09-22 | Esdr Network Solutions Llc | Methods, systems, products, and devices for processing DNS friendly identifiers |
US6847960B1 (en) * | 1999-03-29 | 2005-01-25 | Nec Corporation | Document retrieval by information unit |
US6629097B1 (en) * | 1999-04-28 | 2003-09-30 | Douglas K. Keith | Displaying implicit associations among items in loosely-structured data sets |
US6269361B1 (en) | 1999-05-28 | 2001-07-31 | Goto.Com | System and method for influencing a position on a search result list generated by a computer network search engine |
US7676375B1 (en) * | 1999-06-04 | 2010-03-09 | Stockpricepredictor.Com, Llc | System and method for valuing patents |
US6711585B1 (en) | 1999-06-15 | 2004-03-23 | Kanisa Inc. | System and method for implementing a knowledge management system |
US6981007B1 (en) | 1999-07-09 | 2005-12-27 | Whitmyer Jr Wesley W | Onsite backup for internet-based data processing |
US6560620B1 (en) * | 1999-08-03 | 2003-05-06 | Aplix Research, Inc. | Hierarchical document comparison system and method |
NZ516822A (en) | 1999-08-06 | 2004-05-28 | Lexis Nexis | System and method for classifying legal concepts using legal topic scheme |
US20090259506A1 (en) * | 1999-09-14 | 2009-10-15 | Barney Jonathan A | Method and system for rating patents and other intangible assets |
US20040010393A1 (en) * | 2002-03-25 | 2004-01-15 | Barney Jonathan A. | Method and system for valuing intangible assets |
US6556992B1 (en) * | 1999-09-14 | 2003-04-29 | Patent Ratings, Llc | Method and system for rating patents and other intangible assets |
US6694315B1 (en) * | 1999-09-24 | 2004-02-17 | John B. Grow | Online document assembly and docketing method |
US7016852B1 (en) * | 1999-09-30 | 2006-03-21 | Eugene M. Lee | Fee transaction system and method for intellectual property acquisition and/or maintenance |
US20090307577A1 (en) * | 2001-08-28 | 2009-12-10 | Lee Eugene M | System for providing a binding cost for foreign filing a patent application |
US7016851B1 (en) * | 1999-09-30 | 2006-03-21 | Eugene M. Lee | Systems and methods for preparation of an intellectual property filing in accordance with jurisdiction- and/or agent specific requirements |
US6665656B1 (en) * | 1999-10-05 | 2003-12-16 | Motorola, Inc. | Method and apparatus for evaluating documents with correlating information |
US20040103112A1 (en) | 1999-10-08 | 2004-05-27 | Colson Thomas J. | Computer based method and apparatus for mining and displaying patent data |
US6789092B1 (en) * | 1999-11-01 | 2004-09-07 | Oppedahl & Larson, Llp | Status monitoring system |
JP3754253B2 (en) | 1999-11-19 | 2006-03-08 | 株式会社東芝 | Structured document search method, structured document search apparatus, and structured document search system |
US7801830B1 (en) | 1999-12-30 | 2010-09-21 | At&T Intellectual Property I, L.P. | System and method for marketing, managing, and maintaining intellectual property |
US7127405B1 (en) | 1999-12-30 | 2006-10-24 | Bellsouth Intellectual Property Corp. | System and method for selecting and protecting intellectual property assets |
US7634415B2 (en) | 1999-12-30 | 2009-12-15 | At&T Intellectual Property I, L.P. | Systems and processes for technology asset management |
EP1115076A1 (en) | 2000-01-06 | 2001-07-11 | Venner, Alan J. | A reminder and actioning system |
US7849117B2 (en) * | 2000-01-12 | 2010-12-07 | Knowledge Sphere, Inc. | Multi-term frequency analysis |
US6751621B1 (en) | 2000-01-27 | 2004-06-15 | Manning & Napier Information Services, Llc. | Construction of trainable semantic vectors and clustering, classification, and searching using trainable semantic vectors |
US6640098B1 (en) | 2000-02-14 | 2003-10-28 | Action Engine Corporation | System for obtaining service-related information for local interactive wireless devices |
US8386456B1 (en) * | 2000-02-24 | 2013-02-26 | Richard Paiz | Codex search patterns |
EP1272912A2 (en) | 2000-02-25 | 2003-01-08 | Synquiry Technologies, Ltd | Conceptual factoring and unification of graphs representing semantic models |
US20010049707A1 (en) * | 2000-02-29 | 2001-12-06 | Tran Bao Q. | Systems and methods for generating intellectual property |
US7539656B2 (en) | 2000-03-06 | 2009-05-26 | Consona Crm Inc. | System and method for providing an intelligent multi-step dialog with a user |
US6542884B1 (en) | 2000-03-14 | 2003-04-01 | Microsoft Corporation | Methods and systems for updating an inheritance tree with minimal increase in memory usage |
US6970842B1 (en) | 2000-03-21 | 2005-11-29 | Halo Management, Llc | Project docket management apparatus and method |
AU2001251286B2 (en) | 2000-04-05 | 2006-10-05 | Ruesch International, Inc. | System, method and apparatus for international financial transactions |
US7757168B1 (en) | 2000-04-07 | 2010-07-13 | Xerox Corporation | Meta-document and method of managing |
US20020022974A1 (en) | 2000-04-14 | 2002-02-21 | Urban Lindh | Display of patent information |
US6701309B1 (en) * | 2000-04-21 | 2004-03-02 | Lycos, Inc. | Method and system for collecting related queries |
US6879990B1 (en) * | 2000-04-28 | 2005-04-12 | Institute For Scientific Information, Inc. | System for identifying potential licensees of a source patent portfolio |
US20020163541A1 (en) | 2000-05-04 | 2002-11-07 | Williams G. Thomas | System and method for organizing and presenting information relating to the interpretation of multiple information elements, such as patent claim elements, in at least one reference source and graphical user interface incorporating the same |
US6885999B1 (en) | 2000-05-10 | 2005-04-26 | Cisco Technology, Inc. | Digital identifiers and digital identifier control systems for intellectual properties |
US6490581B1 (en) | 2000-05-24 | 2002-12-03 | At&T Corp. | System and method for providing an object-oriented interface to a relational database |
WO2001093081A2 (en) * | 2000-06-02 | 2001-12-06 | First To File, Inc. | Computer-implemented method for securing intellectual property |
US20020091541A1 (en) * | 2000-06-16 | 2002-07-11 | Seekip.Com | Method and apparatus for intellectual property management on the internet |
US6839665B1 (en) | 2000-06-27 | 2005-01-04 | Text Analysis International, Inc. | Automated generation of text analysis systems |
US20020078090A1 (en) | 2000-06-30 | 2002-06-20 | Hwang Chung Hee | Ontological concept-based, user-centric text summarization |
US6678692B1 (en) | 2000-07-10 | 2004-01-13 | Northrop Grumman Corporation | Hierarchy statistical analysis system and method |
GB2364823A (en) * | 2000-07-12 | 2002-02-06 | Seiko Epson Corp | TFT memory device having gate insulator with charge-trapping granules |
US6675159B1 (en) | 2000-07-27 | 2004-01-06 | Science Applic Int Corp | Concept-based search and retrieval system |
US6816898B1 (en) * | 2000-08-16 | 2004-11-09 | Proactivenet, Inc. | Interfacing external metrics into a performance management system |
US6823331B1 (en) | 2000-08-28 | 2004-11-23 | Entrust Limited | Concept identification system and method for use in reducing and/or representing text content of an electronic document |
AU2001290682A1 (en) | 2000-09-06 | 2002-03-22 | Daryl Craig Josephson | Data gathering and distribution apparatus and methods |
US20040260569A1 (en) | 2000-09-07 | 2004-12-23 | Cyber Legal Solutions, Inc. | Expert legal task management |
US20020035571A1 (en) | 2000-09-15 | 2002-03-21 | Coult John H | Digital patent marking method |
US20020042784A1 (en) * | 2000-10-06 | 2002-04-11 | Kerven David S. | System and method for automatically searching and analyzing intellectual property-related materials |
US7487114B2 (en) | 2000-10-23 | 2009-02-03 | Costar Group, Inc. | System and method for associating aerial images, map features, and information |
JP3266602B1 (en) | 2000-10-30 | 2002-03-18 | 洋一 奥寺 | Address inquiry system, computer program product and method thereof |
US20040073443A1 (en) | 2000-11-10 | 2004-04-15 | Gabrick John J. | System for automating and managing an IP environment |
US6999956B2 (en) | 2000-11-16 | 2006-02-14 | Ward Mullins | Dynamic object-driven database manipulation and mapping system |
US7395261B1 (en) * | 2000-11-21 | 2008-07-01 | Amy Hobbs Atzel | System and method for ordering items |
US20020065677A1 (en) * | 2000-11-27 | 2002-05-30 | First To File, Inc. | Computer implemented method of managing information disclosure statements |
AU3051902A (en) * | 2000-11-27 | 2002-06-03 | First To File Inc | Docketing system |
US20020116363A1 (en) * | 2000-11-27 | 2002-08-22 | First To File, Inc. | Method of deleting unnecessary information from a database |
US20020111824A1 (en) * | 2000-11-27 | 2002-08-15 | First To File, Inc. | Method of defining workflow rules for managing intellectual property |
US20020091542A1 (en) | 2000-11-27 | 2002-07-11 | First To File, Inc | Computer implemented method of paying intellectual property annuity and maintenance fees |
US20020065675A1 (en) | 2000-11-27 | 2002-05-30 | Grainger Jeffry J. | Computer implemented method of managing information disclosure statements |
US20020072920A1 (en) * | 2000-12-07 | 2002-06-13 | Jeffry Grainger | Computer implemented method of generating information disclosure statements |
US20020111953A1 (en) | 2000-11-27 | 2002-08-15 | First To File, Inc. | Docketing system |
US20020161733A1 (en) * | 2000-11-27 | 2002-10-31 | First To File, Inc. | Method of creating electronic prosecution experience for patent applicant |
US7188069B2 (en) * | 2000-11-30 | 2007-03-06 | Syracuse University | Method for valuing intellectual property |
US7653551B2 (en) | 2000-12-05 | 2010-01-26 | Ipwealth.Com, Inc. | Method and system for searching and submitting online via an aggregation portal |
US6556710B2 (en) * | 2000-12-15 | 2003-04-29 | America Online, Inc. | Image searching techniques |
US6678677B2 (en) | 2000-12-19 | 2004-01-13 | Xerox Corporation | Apparatus and method for information retrieval using self-appending semantic lattice |
US7051022B1 (en) * | 2000-12-19 | 2006-05-23 | Oracle International Corporation | Automated extension for generation of cross references in a knowledge base |
US20030220891A1 (en) | 2000-12-22 | 2003-11-27 | Fish Robert D | Matter management computer software |
US7076439B1 (en) * | 2001-01-10 | 2006-07-11 | Lsi Logic Corporation | Method and apparatus for managing multiple projects |
US6839707B2 (en) | 2001-01-17 | 2005-01-04 | General Electric Company | Web-based system and method for managing legal information |
US6766316B2 (en) | 2001-01-18 | 2004-07-20 | Science Applications International Corporation | Method and system of ranking and clustering for document indexing and retrieval |
US6526440B1 (en) * | 2001-01-30 | 2003-02-25 | Google, Inc. | Ranking search results by reranking the results based on local inter-connectivity |
US20020107896A1 (en) | 2001-02-02 | 2002-08-08 | Abraham Ronai | Patent application drafting assistance tool |
AU2002241904A1 (en) * | 2001-02-09 | 2002-08-28 | Mellon Hr Solutions Llc | Individual valuation in a group |
US20030160812A1 (en) * | 2002-02-26 | 2003-08-28 | Gary Dommer | Representation of EPG programming information |
US8874431B2 (en) * | 2001-03-16 | 2014-10-28 | Meaningful Machines Llc | Knowledge system method and apparatus |
US7860706B2 (en) * | 2001-03-16 | 2010-12-28 | Eli Abir | Knowledge system method and appparatus |
US8484177B2 (en) | 2001-03-21 | 2013-07-09 | Eugene M. Lee | Apparatus for and method of searching and organizing intellectual property information utilizing a field-of-search |
US6662178B2 (en) * | 2001-03-21 | 2003-12-09 | Knowledge Management Objects, Llc | Apparatus for and method of searching and organizing intellectual property information utilizing an IP thesaurus |
US7353202B2 (en) * | 2001-03-22 | 2008-04-01 | Malackowski James E | System for and method of risk minimization and enhanced returns in an intellectual capital based venture investment |
US20020184234A1 (en) | 2001-06-01 | 2002-12-05 | Lundberg Steven W. | Internet-based patent and trademark applicaton management system |
WO2002080039A1 (en) | 2001-03-29 | 2002-10-10 | Schwegman, Lundberg, Woessner & Kluth, P.A. | Internet-based patent and trademark application management system |
JP3842573B2 (en) | 2001-03-30 | 2006-11-08 | 株式会社東芝 | Structured document search method, structured document management apparatus and program |
JP3842577B2 (en) | 2001-03-30 | 2006-11-08 | 株式会社東芝 | Structured document search method, structured document search apparatus and program |
US6665670B2 (en) | 2001-03-30 | 2003-12-16 | M.Cam, Inc. | Method and system for graphical representation of multitemporal, multidimensional data relationships |
US6976016B2 (en) | 2001-04-02 | 2005-12-13 | Vima Technologies, Inc. | Maximizing expected generalization for learning complex query concepts |
US20020147738A1 (en) | 2001-04-06 | 2002-10-10 | Reader Scot A. | Method and appratus for finding patent-relevant web documents |
US6839564B2 (en) | 2001-04-25 | 2005-01-04 | Nokia Corporation | Synchronization of database data |
US6970881B1 (en) | 2001-05-07 | 2005-11-29 | Intelligenxia, Inc. | Concept-based method and system for dynamically analyzing unstructured information |
US7653631B1 (en) * | 2001-05-10 | 2010-01-26 | Foundationip, Llc | Method for synchronizing information in multiple case management systems |
JP4489994B2 (en) | 2001-05-11 | 2010-06-23 | 富士通株式会社 | Topic extraction apparatus, method, program, and recording medium for recording the program |
US6980984B1 (en) | 2001-05-16 | 2005-12-27 | Kanisa, Inc. | Content provider systems and methods using structured data |
US6871324B2 (en) * | 2001-05-25 | 2005-03-22 | International Business Machines Corporation | Method and apparatus for efficiently and dynamically updating monitored metrics in a heterogeneous system |
US7103843B2 (en) * | 2001-05-25 | 2006-09-05 | International Business Machines Corporation | Method and apparatus for visualizing metrics in a data space |
US6968341B2 (en) * | 2001-05-25 | 2005-11-22 | International Business Machines Corporation | System and method for post-analyzing, and sequentially visualizing plurality of predefined metrics in a stored dynamic data values associated identifiers within determined time range |
US8326851B2 (en) | 2001-06-29 | 2012-12-04 | Grune Guerry L | Simultaneous intellectual property search and valuation system and methodology (SIPS-VSM) |
GB2377047A (en) | 2001-06-29 | 2002-12-31 | Nokia Corp | Intellectual property rights contract |
US20030033295A1 (en) * | 2001-07-11 | 2003-02-13 | Adler Marc Stephen | Method for analyzing and recording innovations |
US20030066025A1 (en) * | 2001-07-13 | 2003-04-03 | Garner Harold R. | Method and system for information retrieval |
KR20030009704A (en) | 2001-07-23 | 2003-02-05 | 한국전자통신연구원 | System for drawing patent map using technical field word, its method |
KR20040018404A (en) | 2001-07-26 | 2004-03-03 | 인터내셔널 비지네스 머신즈 코포레이션 | Data processing method, data processing system, and program |
KR100436356B1 (en) | 2001-08-01 | 2004-06-18 | (주) 위즈도메인 | A method for analyzing and providing inter-citation relationship between patents related to a subject patent |
US9541977B1 (en) * | 2001-08-28 | 2017-01-10 | Eugene M. Lee | Computer-implemented method and system for automated claim charts with context associations |
US9460414B2 (en) | 2001-08-28 | 2016-10-04 | Eugene M. Lee | Computer assisted and/or implemented process and system for annotating and/or linking documents and data, optionally in an intellectual property management system |
JP3612562B2 (en) * | 2001-08-28 | 2005-01-19 | 独立行政法人情報通信研究機構 | Digital data retrieval information presentation system |
US8041739B2 (en) * | 2001-08-31 | 2011-10-18 | Jinan Glasgow | Automated system and method for patent drafting and technology assessment |
US6778995B1 (en) | 2001-08-31 | 2004-08-17 | Attenex Corporation | System and method for efficiently generating cluster groupings in a multi-dimensional concept space |
US8078545B1 (en) * | 2001-09-24 | 2011-12-13 | Aloft Media, Llc | System, method and computer program product for collecting strategic patent data associated with an identifier |
US7305625B1 (en) * | 2001-09-24 | 2007-12-04 | Aloft Media, Llc | Data networking system and method for interfacing a user |
US20030084066A1 (en) | 2001-10-31 | 2003-05-01 | Waterman Scott A. | Device and method for assisting knowledge engineer in associating intelligence with content |
US20040006594A1 (en) | 2001-11-27 | 2004-01-08 | Ftf Technologies Inc. | Data access control techniques using roles and permissions |
US20030115191A1 (en) | 2001-12-17 | 2003-06-19 | Max Copperman | Efficient and cost-effective content provider for customer relationship management (CRM) or other applications |
WO2003065240A1 (en) | 2002-02-01 | 2003-08-07 | John Fairweather | System and method for managing collections of data on a network |
US20030154085A1 (en) | 2002-02-08 | 2003-08-14 | Onevoice Medical Corporation | Interactive knowledge base system |
US7165024B2 (en) * | 2002-02-22 | 2007-01-16 | Nec Laboratories America, Inc. | Inferring hierarchical descriptions of a set of documents |
US8589413B1 (en) | 2002-03-01 | 2013-11-19 | Ixreveal, Inc. | Concept-based method and system for dynamically analyzing results from search engines |
US20030167181A1 (en) | 2002-03-01 | 2003-09-04 | Schwegman, Lundberg, Woessner & Kluth, P.A. | Systems and methods for managing information disclosure statement (IDS) references |
US20030187874A1 (en) * | 2002-03-20 | 2003-10-02 | Andreas Peschel | Computer & Internet software application for global portfolio management system method & apparatus |
US20040002892A1 (en) | 2002-03-20 | 2004-01-01 | Martin Gluck | Portal for global portfolio management system method & apparatus |
US7260773B2 (en) * | 2002-03-28 | 2007-08-21 | Uri Zernik | Device system and method for determining document similarities and differences |
US20030187832A1 (en) * | 2002-04-02 | 2003-10-02 | Reader Scot A. | Method for locating patent-relevant web pages and search agent for use therein |
US20030191654A1 (en) * | 2002-04-05 | 2003-10-09 | Panchal Kiran D. | Patent product map |
DE10215495A1 (en) | 2002-04-09 | 2003-10-30 | Bayer Ag | Computer system and method for research, statistical evaluation and analysis of documents |
US6847966B1 (en) | 2002-04-24 | 2005-01-25 | Engenium Corporation | Method and system for optimally searching a document database using a representative semantic space |
US8543511B2 (en) * | 2002-04-29 | 2013-09-24 | Contentguard Holdings, Inc. | System and method for specifying and processing legality expressions |
US20030212706A1 (en) | 2002-05-07 | 2003-11-13 | Shih Yu Li | Patent management system |
US7792728B2 (en) | 2002-05-13 | 2010-09-07 | Poltorak Alexander I | Method and apparatus for patent valuation |
US7085771B2 (en) | 2002-05-17 | 2006-08-01 | Verity, Inc | System and method for automatically discovering a hierarchy of concepts from a corpus of documents |
US20040015481A1 (en) | 2002-05-23 | 2004-01-22 | Kenneth Zinda | Patent data mining |
US6996575B2 (en) | 2002-05-31 | 2006-02-07 | Sas Institute Inc. | Computer-implemented system and method for text-based document processing |
US20030229470A1 (en) | 2002-06-10 | 2003-12-11 | Nenad Pejic | System and method for analyzing patent-related information |
AU2003236515A1 (en) | 2002-06-13 | 2003-12-31 | Milliken And Company | Multiple-component magnetic mat |
US7024408B2 (en) | 2002-07-03 | 2006-04-04 | Word Data Corp. | Text-classification code, system and method |
US20040006459A1 (en) | 2002-07-05 | 2004-01-08 | Dehlinger Peter J. | Text-searching system and method |
US7016895B2 (en) | 2002-07-05 | 2006-03-21 | Word Data Corp. | Text-classification system and method |
US20040006547A1 (en) | 2002-07-03 | 2004-01-08 | Dehlinger Peter J. | Text-processing database |
US7003516B2 (en) | 2002-07-03 | 2006-02-21 | Word Data Corp. | Text representation and method |
US7181451B2 (en) | 2002-07-03 | 2007-02-20 | Word Data Corp. | Processing input text to generate the selectivity value of a word or word group in a library of texts in a field is related to the frequency of occurrence of that word or word group in library |
KR100490725B1 (en) | 2002-07-11 | 2005-05-24 | 한국전자통신연구원 | Method for constructing database of technique classification patent map |
US7493253B1 (en) | 2002-07-12 | 2009-02-17 | Language And Computing, Inc. | Conceptual world representation natural language understanding system and method |
US20060225000A1 (en) | 2005-04-01 | 2006-10-05 | Paul Albrecht | Graphical application interface using browser |
US20060224999A1 (en) * | 2005-04-01 | 2006-10-05 | Paul Albrecht | Graphical visualization of data product using browser |
US7136807B2 (en) * | 2002-08-26 | 2006-11-14 | International Business Machines Corporation | Inferencing using disambiguated natural language rules |
US20040044688A1 (en) | 2002-08-30 | 2004-03-04 | Brudz John Jason | Patent asset management systems and methods |
JP3891909B2 (en) | 2002-09-03 | 2007-03-14 | 日本アイ・ビー・エム株式会社 | Information search support system, application server, information search method, and program |
US7158983B2 (en) | 2002-09-23 | 2007-01-02 | Battelle Memorial Institute | Text analysis technique |
US20040059994A1 (en) | 2002-09-23 | 2004-03-25 | Ronny Fogel | Method of checking patent claims |
US6886010B2 (en) | 2002-09-30 | 2005-04-26 | The United States Of America As Represented By The Secretary Of The Navy | Method for data and text mining and literature-based discovery |
US7904453B2 (en) | 2002-10-17 | 2011-03-08 | Poltorak Alexander I | Apparatus and method for analyzing patent claim validity |
US7792832B2 (en) * | 2002-10-17 | 2010-09-07 | Poltorak Alexander I | Apparatus and method for identifying potential patent infringement |
US7801909B2 (en) * | 2002-10-17 | 2010-09-21 | Poltorak Alexander I | Apparatus and method for identifying and/or for analyzing potential patent infringement |
EP1411448A3 (en) | 2002-10-17 | 2007-12-05 | Matsushita Electric Industrial Co., Ltd. | Data searching apparatus |
US7296015B2 (en) * | 2002-10-17 | 2007-11-13 | Poltorak Alexander I | Apparatus and method for identifying and/or for analyzing potential patent infringement |
US7142713B1 (en) | 2002-10-24 | 2006-11-28 | Foundationip, Llc | Automated docketing system |
WO2004042493A2 (en) | 2002-10-24 | 2004-05-21 | Agency For Science, Technology And Research | Method and system for discovering knowledge from text documents |
US20040186738A1 (en) | 2002-10-24 | 2004-09-23 | Richard Reisman | Method and apparatus for an idea adoption marketplace |
US7231384B2 (en) | 2002-10-25 | 2007-06-12 | Sap Aktiengesellschaft | Navigation tool for exploring a knowledge base |
EP1562570A4 (en) | 2002-11-06 | 2007-09-05 | Sinai School Medicine | Treatment of amyotrophic lateral sclerosis with nimesulide |
US6947950B2 (en) | 2002-11-06 | 2005-09-20 | Oracle International Corporation | Techniques for managing multiple hierarchies of data from a single interface |
US7739240B2 (en) | 2002-12-09 | 2010-06-15 | Hewlett-Packard Development Company, L.P. | Replication and replica management in a wide area file system |
US20040199400A1 (en) * | 2002-12-17 | 2004-10-07 | Lundberg Steven W. | Internet-based patent and trademark application management system |
US20040122841A1 (en) | 2002-12-19 | 2004-06-24 | Ford Motor Company | Method and system for evaluating intellectual property |
NZ541580A (en) * | 2002-12-30 | 2009-03-31 | Thomson Corp | Knowledge-management systems for law firms |
US20040167875A1 (en) | 2003-02-20 | 2004-08-26 | Eriks Sneiders | Information processing method and system |
US8694504B2 (en) | 2003-03-05 | 2014-04-08 | Spore, Inc. | Methods and systems for technology analysis and mapping |
US20040181417A1 (en) | 2003-03-14 | 2004-09-16 | Gunther Piller | Managing the definition of a product innovation |
US20040186705A1 (en) | 2003-03-18 | 2004-09-23 | Morgan Alexander P. | Concept word management |
US20120102427A1 (en) * | 2010-10-21 | 2012-04-26 | Marc Aaron Fenster | Systems and methods for automated claim chart generation |
EP1623339A2 (en) | 2003-05-01 | 2006-02-08 | Axonwave Software Inc. | A method and system for concept generation and management |
US7406459B2 (en) * | 2003-05-01 | 2008-07-29 | Microsoft Corporation | Concept network |
US20040223648A1 (en) * | 2003-05-05 | 2004-11-11 | Keith Hoene | Determining differences between documents |
US20050021522A1 (en) * | 2003-05-16 | 2005-01-27 | Mark Herman | Apparatus, method and computer readable medium for evaluating a network of entities and assets |
US7689483B2 (en) * | 2003-05-20 | 2010-03-30 | Amegy Bank of Texas | System to facilitate payments for a customer through a foreign bank, software, business methods, and other related methods |
US20040237756A1 (en) * | 2003-05-28 | 2004-12-02 | Forbes Angus G. | Computer-aided music education |
US20050004806A1 (en) | 2003-06-20 | 2005-01-06 | Dah-Chih Lin | Automatic patent claim reader and computer-aided claim reading method |
JP3966515B2 (en) | 2003-06-27 | 2007-08-29 | 日本アイ・ビー・エム株式会社 | Network system, server, data recording / reproducing apparatus, method and program thereof |
US20050005239A1 (en) | 2003-07-03 | 2005-01-06 | Richards James L. | System and method for automatic insertion of cross references in a document |
US7171618B2 (en) | 2003-07-30 | 2007-01-30 | Xerox Corporation | Multi-versioned documents and method for creation and use thereof |
US7774333B2 (en) * | 2003-08-21 | 2010-08-10 | Idia Inc. | System and method for associating queries and documents with contextual advertisements |
US7509313B2 (en) * | 2003-08-21 | 2009-03-24 | Idilia Inc. | System and method for processing a query |
EP1673702A4 (en) | 2003-09-11 | 2008-11-05 | Ipx Inc | System for software source code comparison |
TW200511048A (en) * | 2003-09-12 | 2005-03-16 | Hon Hai Prec Ind Co Ltd | Patent family analysis system and method |
US7219105B2 (en) | 2003-09-17 | 2007-05-15 | International Business Machines Corporation | Method, system and computer program product for profiling entities |
US20070271366A1 (en) | 2003-10-09 | 2007-11-22 | Demers Timothy B | Multimedia player and browser system |
US7555441B2 (en) | 2003-10-10 | 2009-06-30 | Kronos Talent Management Inc. | Conceptualization of job candidate information |
US9922383B2 (en) | 2003-11-07 | 2018-03-20 | Spore, Inc. | Patent claims analysis system and method |
US10198478B2 (en) | 2003-10-11 | 2019-02-05 | Magic Number, Inc. | Methods and systems for technology analysis and mapping |
US9483551B2 (en) | 2003-10-11 | 2016-11-01 | Spore, Inc. | Methods and systems for technology analysis and mapping |
WO2005050511A1 (en) * | 2003-10-23 | 2005-06-02 | Intellectual Property Bank Corp. | Enterprise evaluation device and enterprise evaluation program |
US7185172B1 (en) * | 2003-10-31 | 2007-02-27 | Integrated Device Technology, Inc. | CAM-based search engine devices having index translation capability |
WO2005048055A2 (en) | 2003-11-07 | 2005-05-26 | Spore, Inc. | Patent claims analysis system and method |
US20050234738A1 (en) * | 2003-11-26 | 2005-10-20 | Hodes Alan S | Competitive product intelligence system and method, including patent analysis and formulation using one or more ontologies |
US20050144177A1 (en) * | 2003-11-26 | 2005-06-30 | Hodes Alan S. | Patent analysis and formulation using ontologies |
US20050120011A1 (en) | 2003-11-26 | 2005-06-02 | Word Data Corp. | Code, method, and system for manipulating texts |
KR100452086B1 (en) * | 2003-12-22 | 2004-10-13 | 엔에이치엔(주) | Search System For Providing Information of Keyword Input Frequency By Category And Method Thereof |
US20060106793A1 (en) * | 2003-12-29 | 2006-05-18 | Ping Liang | Internet and computer information retrieval and mining with intelligent conceptual filtering, visualization and automation |
US7281008B1 (en) | 2003-12-31 | 2007-10-09 | Google Inc. | Systems and methods for constructing a query result set |
US7447678B2 (en) * | 2003-12-31 | 2008-11-04 | Google Inc. | Interface for a universal search engine |
US7702516B2 (en) | 2004-01-13 | 2010-04-20 | International Business Machines Corporation | Payment control to inventors in patent tracking system |
KR100452085B1 (en) * | 2004-01-14 | 2004-10-12 | 엔에이치엔(주) | Search System For Providing Information of Keyword Input Frequency By Category And Method Thereof |
US8868405B2 (en) | 2004-01-27 | 2014-10-21 | Hewlett-Packard Development Company, L. P. | System and method for comparative analysis of textual documents |
US20050198026A1 (en) | 2004-02-03 | 2005-09-08 | Dehlinger Peter J. | Code, system, and method for generating concepts |
US20050182755A1 (en) | 2004-02-14 | 2005-08-18 | Bao Tran | Systems and methods for analyzing documents over a network |
GB2411331A (en) | 2004-02-19 | 2005-08-24 | Trigenix Ltd | Rendering user interface using actor attributes |
US20050210008A1 (en) * | 2004-03-18 | 2005-09-22 | Bao Tran | Systems and methods for analyzing documents over a network |
US20050210009A1 (en) * | 2004-03-18 | 2005-09-22 | Bao Tran | Systems and methods for intellectual property management |
US20050210042A1 (en) | 2004-03-22 | 2005-09-22 | Goedken James F | Methods and apparatus to search and analyze prior art |
US20050246194A1 (en) | 2004-04-06 | 2005-11-03 | Lundberg Steven W | System and method for information disclosure statement management |
US20050228684A1 (en) | 2004-04-13 | 2005-10-13 | Pavel Pogodin | Integrated computerized system and method for management of intellectual property |
US20050234881A1 (en) | 2004-04-16 | 2005-10-20 | Anna Burago | Search wizard |
US7962453B2 (en) * | 2004-04-26 | 2011-06-14 | Oracle International Corporation | Dynamic redistribution of a distributed memory index when individual nodes have different lookup indexes |
US20070067297A1 (en) | 2004-04-30 | 2007-03-22 | Kublickis Peter J | System and methods for a micropayment-enabled marketplace with permission-based, self-service, precision-targeted delivery of advertising, entertainment and informational content and relationship marketing to anonymous internet users |
EP2487601A1 (en) | 2004-05-04 | 2012-08-15 | Boston Consulting Group, Inc. | Method and apparatus for selecting, analyzing and visualizing related database records as a network |
US7697791B1 (en) * | 2004-05-10 | 2010-04-13 | Google Inc. | Method and system for providing targeted documents based on concepts automatically identified therein |
US7447665B2 (en) | 2004-05-10 | 2008-11-04 | Kinetx, Inc. | System and method of self-learning conceptual mapping to organize and interpret data |
US7996753B1 (en) | 2004-05-10 | 2011-08-09 | Google Inc. | Method and system for automatically creating an image advertisement |
US20050256734A1 (en) | 2004-05-14 | 2005-11-17 | Clikeman Richard R | Method and data structure for augmenting invention and analysis of intellectual property |
US7823061B2 (en) * | 2004-05-20 | 2010-10-26 | Wizpatent Pte Ltd | System and method for text segmentation and display |
US20050261927A1 (en) * | 2004-05-24 | 2005-11-24 | Bilak Mark R | System and method for valuing intellectual property |
DE602004022517D1 (en) * | 2004-06-15 | 2009-09-24 | Sap Ag | A data processing system and method for monitoring database replication |
EP1782371A4 (en) | 2004-06-22 | 2009-12-02 | Coras Inc | Systems and methods for software based on business concepts |
US20050289107A1 (en) * | 2004-06-25 | 2005-12-29 | Yan Arrouye | Methods and systems for managing data |
SE0401737D0 (en) * | 2004-07-03 | 2004-07-03 | Tomas Hultgren | Tools for skills acquisition and increased amount of solutions for development and production applications |
US20060036451A1 (en) | 2004-08-10 | 2006-02-16 | Lundberg Steven W | Patent mapping |
WO2006015110A2 (en) | 2004-07-27 | 2006-02-09 | Schwegman Lundberg Woessner & Kluth | Patent mapping |
US20060026174A1 (en) | 2004-07-27 | 2006-02-02 | Lundberg Steven W | Patent mapping |
US8145639B2 (en) * | 2004-08-11 | 2012-03-27 | Allan Williams | System and methods for patent evaluation |
US8145640B2 (en) | 2004-08-11 | 2012-03-27 | Allan Williams | System and method for patent evaluation and visualization of the results thereof |
US20060036453A1 (en) | 2004-08-11 | 2006-02-16 | Allan Williams | Bias compensated method and system for patent evaluation |
US8161049B2 (en) | 2004-08-11 | 2012-04-17 | Allan Williams | System and method for patent evaluation using artificial intelligence |
US7840460B2 (en) | 2004-08-11 | 2010-11-23 | Allan Williams | System and method for patent portfolio evaluation |
US20060074836A1 (en) | 2004-09-03 | 2006-04-06 | Biowisdom Limited | System and method for graphically displaying ontology data |
JP4538284B2 (en) * | 2004-09-09 | 2010-09-08 | 株式会社リコー | Information search system, information search terminal, program, and recording medium |
US20060085249A1 (en) * | 2004-09-24 | 2006-04-20 | Idt Corporation | Method and apparatus for mining patent data |
US20060074980A1 (en) * | 2004-09-29 | 2006-04-06 | Sarkar Pte. Ltd. | System for semantically disambiguating text information |
US7433884B2 (en) | 2004-09-29 | 2008-10-07 | Chi Research, Inc. | Identification of licensing targets using citation neighbor search process |
US20060173903A1 (en) | 2004-09-30 | 2006-08-03 | Zimmerman Mark C | Methods and apparatus to automatically generate claim charts |
US20060085478A1 (en) | 2004-10-18 | 2006-04-20 | Michael Landau | Third-party automated tracking, analysis, and distribution of registry status information |
US7801874B2 (en) * | 2004-10-22 | 2010-09-21 | Mahle Powertrain Llc | Reporting tools |
US20080077570A1 (en) | 2004-10-25 | 2008-03-27 | Infovell, Inc. | Full Text Query and Search Systems and Method of Use |
DE102005051429A1 (en) | 2004-10-27 | 2006-06-14 | Elsevier B.V. | Method and software for analyzing research publications |
JPWO2006048998A1 (en) * | 2004-11-05 | 2008-05-22 | 株式会社アイ・ピー・ビー | Keyword extractor |
US7444589B2 (en) * | 2004-12-30 | 2008-10-28 | At&T Intellectual Property I, L.P. | Automated patent office documentation |
US20060149720A1 (en) | 2004-12-30 | 2006-07-06 | Dehlinger Peter J | System and method for retrieving information from citation-rich documents |
US8229905B2 (en) | 2005-01-14 | 2012-07-24 | Ricoh Co., Ltd. | Adaptive document management system using a physical representation of a document |
US20060190449A1 (en) | 2005-02-18 | 2006-08-24 | Lundberg Steven W | System and method for prior art cross citation |
US20060229983A1 (en) * | 2005-03-17 | 2006-10-12 | Steven Lundberg | Method and apparatus for processing annuities |
US20060212480A1 (en) | 2005-03-21 | 2006-09-21 | Lundberg Steven W | System and method for matter clusters in an IP management system |
US20060212402A1 (en) | 2005-03-21 | 2006-09-21 | Lundberg Steven W | System and method for export control of technical documents |
US20060212302A1 (en) * | 2005-03-21 | 2006-09-21 | Lundberg Steven W | System and method for a user interface in an IP management system |
US20060212471A1 (en) | 2005-03-21 | 2006-09-21 | Lundberg Steven W | System and method for intellectual property information management using configurable activities |
US7853629B2 (en) | 2005-03-23 | 2010-12-14 | Executive Data Systems, Inc. | Document imaging and management system for paperless workflow |
US20060218491A1 (en) | 2005-03-25 | 2006-09-28 | International Business Machines Corporation | System, method and program product for community review of documents |
US20060258397A1 (en) | 2005-05-10 | 2006-11-16 | Kaplan Mark M | Integrated mobile application server and communication gateway |
EP1875336A2 (en) | 2005-04-11 | 2008-01-09 | Textdigger, Inc. | System and method for searching for a query |
US7970671B2 (en) * | 2005-04-12 | 2011-06-28 | Syncada Llc | Automated transaction processing system and approach with currency conversion |
US20080195601A1 (en) | 2005-04-14 | 2008-08-14 | The Regents Of The University Of California | Method For Information Retrieval |
US7647312B2 (en) * | 2005-05-12 | 2010-01-12 | Microsoft Corporation | System and method for automatic generation of suggested inline search terms |
WO2006128183A2 (en) | 2005-05-27 | 2006-11-30 | Schwegman, Lundberg, Woessner & Kluth, P.A. | Method and apparatus for cross-referencing important ip relationships |
US8805781B2 (en) | 2005-06-15 | 2014-08-12 | Geronimo Development | Document quotation indexing system and method |
US7472119B2 (en) | 2005-06-30 | 2008-12-30 | Microsoft Corporation | Prioritizing search results by client search satisfaction |
US20070130112A1 (en) | 2005-06-30 | 2007-06-07 | Intelligentek Corp. | Multimedia conceptual search system and associated search method |
US7849049B2 (en) * | 2005-07-05 | 2010-12-07 | Clarabridge, Inc. | Schema and ETL tools for structured and unstructured data |
US20070057967A1 (en) | 2005-07-13 | 2007-03-15 | Armstrong Orin R | System and method for the display of versioned documents and amendments |
US8161025B2 (en) * | 2005-07-27 | 2012-04-17 | Schwegman, Lundberg & Woessner, P.A. | Patent mapping |
AU2012200701B2 (en) | 2005-07-27 | 2014-01-30 | Schwegman, Lundberg & Woessner, P.A. | Patent Mapping |
US7268334B2 (en) | 2005-08-03 | 2007-09-11 | Lite-On Semiconductor Corp. | Image sensor device and a method for outputting digital signals |
US8566789B2 (en) * | 2005-08-25 | 2013-10-22 | Infosys Limited | Semantic-based query techniques for source code |
US20070073625A1 (en) | 2005-09-27 | 2007-03-29 | Shelton Robert H | System and method of licensing intellectual property assets |
US7716226B2 (en) * | 2005-09-27 | 2010-05-11 | Patentratings, Llc | Method and system for probabilistically quantifying and visualizing relevance between two or more citationally or contextually related data objects |
EP1952280B8 (en) * | 2005-10-11 | 2016-11-30 | Ureveal, Inc. | System, method&computer program product for concept based searching&analysis |
US20080015968A1 (en) * | 2005-10-14 | 2008-01-17 | Leviathan Entertainment, Llc | Fee-Based Priority Queuing for Insurance Claim Processing |
US20070220041A1 (en) | 2005-10-14 | 2007-09-20 | Leviathan Entertainment, Llc | Prior Art Notes Associated with Patent Applications |
US20070219853A1 (en) * | 2005-10-14 | 2007-09-20 | Leviathan Entertainment, Llc | Patent Examiner Selection |
US7761478B2 (en) * | 2005-11-23 | 2010-07-20 | International Business Machines Corporation | Semantic business model management |
US20070250500A1 (en) * | 2005-12-05 | 2007-10-25 | Collarity, Inc. | Multi-directional and auto-adaptive relevance and search system and methods thereof |
US20070136373A1 (en) | 2005-12-14 | 2007-06-14 | Piasecki David J | Intellectual property portfolio management method and system |
US7657476B2 (en) * | 2005-12-28 | 2010-02-02 | Patentratings, Llc | Method and system for valuing intangible assets |
US7702640B1 (en) * | 2005-12-29 | 2010-04-20 | Amazon Technologies, Inc. | Stratified unbalanced trees for indexing of data items within a computer system |
US20070168345A1 (en) * | 2006-01-17 | 2007-07-19 | Andrew Gibbs | System and method of identifying subject matter experts |
US7676485B2 (en) | 2006-01-20 | 2010-03-09 | Ixreveal, Inc. | Method and computer program product for converting ontologies into concept semantic networks |
US7689559B2 (en) * | 2006-02-08 | 2010-03-30 | Telenor Asa | Document similarity scoring and ranking method, device and computer program product |
US8204213B2 (en) | 2006-03-29 | 2012-06-19 | International Business Machines Corporation | System and method for performing a similarity measure of anonymized data |
US8386350B2 (en) | 2006-04-04 | 2013-02-26 | International Buisness Machines Corporation | System and method for extracting value from a portfolio of assets |
KR100785352B1 (en) * | 2006-04-21 | 2007-12-18 | 엔에이치엔(주) | Method and system for creating search-result-list |
US8069182B2 (en) * | 2006-04-24 | 2011-11-29 | Working Research, Inc. | Relevancy-based domain classification |
JP2007293642A (en) * | 2006-04-26 | 2007-11-08 | Matsushita Electric Ind Co Ltd | Electronic document management system |
US20080005144A1 (en) * | 2006-05-23 | 2008-01-03 | Seapass Solutions Inc. | Apparatus and method for transferring data between incompatible computer systems |
US20070294610A1 (en) * | 2006-06-02 | 2007-12-20 | Ching Phillip W | System and method for identifying similar portions in documents |
US20070288256A1 (en) * | 2006-06-07 | 2007-12-13 | Speier Gary J | Patent claim reference generation |
US20080005103A1 (en) | 2006-06-08 | 2008-01-03 | Invequity, Llc | Intellectual property search, marketing and licensing connection system and method |
US7734545B1 (en) * | 2006-06-14 | 2010-06-08 | Jpmorgan Chase Bank, N.A. | Method and system for processing recurring payments |
US20080021900A1 (en) * | 2006-07-14 | 2008-01-24 | Ficus Enterprises, Llc | Examiner information system |
US20120226684A1 (en) * | 2006-07-14 | 2012-09-06 | Ficus Enterprises, Llc | User interace and processing functionality for patent examiner information system |
US20080216013A1 (en) * | 2006-08-01 | 2008-09-04 | Lundberg Steven W | Patent tracking |
US20080033741A1 (en) * | 2006-08-04 | 2008-02-07 | Leviathan Entertainment, Llc | Automated Prior Art Search Tool |
US8392174B2 (en) | 2006-08-07 | 2013-03-05 | International Characters, Inc. | Method and apparatus for lexical analysis using parallel bit streams |
WO2008028084A2 (en) | 2006-08-30 | 2008-03-06 | Ipi Commercial Credit, Inc. | Method for assessing the strength of patent portfolios and valuating them for purposes of monetization |
US7664692B2 (en) | 2006-08-31 | 2010-02-16 | Chicago Board of Options Exchange | Method and system for creating and trading derivative investment instruments based on an index of investment management companies |
AR062635A1 (en) * | 2006-09-01 | 2008-11-19 | Thomson Global Resources | SYSTEM, METHODS, SOFTWARE AND INTERFASES TO FORMAT APPOINTMENTS OF LEGISLATION |
US8005748B2 (en) | 2006-09-14 | 2011-08-23 | Newman David L | Intellectual property distribution system and method for distributing licenses |
US20080077577A1 (en) * | 2006-09-27 | 2008-03-27 | Byrne Joseph J | Research and Monitoring Tool to Determine the Likelihood of the Public Finding Information Using a Keyword Search |
US20090282054A1 (en) | 2006-09-29 | 2009-11-12 | Casey Michael R | IDS Reference Tracking System |
US20080097931A1 (en) | 2006-10-23 | 2008-04-24 | Ipie Mae Corporation | Computer assisted process for providing liquidity to an enterprise by utilizing intellectual property assets |
KR20090074688A (en) | 2006-11-02 | 2009-07-07 | 가부시키가이샤 아이.피.비. | Patent evaluating device |
US20080109454A1 (en) * | 2006-11-03 | 2008-05-08 | Willse Alan R | Text analysis techniques |
WO2008058218A2 (en) * | 2006-11-08 | 2008-05-15 | Seeqpod, Inc. | Matching and recommending relevant videos and media to individual search engine results |
WO2008066860A1 (en) * | 2006-11-29 | 2008-06-05 | Ocean Tomo, Llc | A marketplace for trading intangible asset derivatives and a method for trading intangible asset derivatives |
US7676471B2 (en) * | 2006-12-05 | 2010-03-09 | International Business Machines Corporation | Graphical, matrixed method for SAS fabric management |
US20080140523A1 (en) * | 2006-12-06 | 2008-06-12 | Sherpa Techologies, Llc | Association of media interaction with complementary data |
US8065307B2 (en) | 2006-12-20 | 2011-11-22 | Microsoft Corporation | Parsing, analysis and scoring of document content |
US8335998B1 (en) * | 2006-12-29 | 2012-12-18 | Global Prior Art, Inc. | Interactive global map |
CN101211452A (en) * | 2006-12-29 | 2008-07-02 | 鸿富锦精密工业(深圳)有限公司 | Patent information service system and method |
US20080183518A1 (en) | 2007-01-30 | 2008-07-31 | Herb Jiang | Method and system for analyzing patent flow |
US20080195604A1 (en) * | 2007-02-08 | 2008-08-14 | Christopher Nordby Sears | Synthesis-based approach to draft an invention disclosure using improved prior art search technique |
US8060505B2 (en) * | 2007-02-13 | 2011-11-15 | International Business Machines Corporation | Methodologies and analytics tools for identifying white space opportunities in a given industry |
US8380548B2 (en) * | 2007-02-15 | 2013-02-19 | So-ling Carmen Ng | Method for managing intellectual property |
US7610185B1 (en) * | 2007-02-26 | 2009-10-27 | Quintura, Inc. | GUI for subject matter navigation using maps and search terms |
US20080243799A1 (en) * | 2007-03-30 | 2008-10-02 | Innography, Inc. | System and method of generating a set of search results |
US8176440B2 (en) * | 2007-03-30 | 2012-05-08 | Silicon Laboratories, Inc. | System and method of presenting search results |
US7765227B1 (en) * | 2007-03-30 | 2010-07-27 | A9.Com, Inc. | Selection of search criteria order based on relevance information |
US8112440B2 (en) * | 2007-04-13 | 2012-02-07 | The University Of Vermont And State Agricultural College | Relational pattern discovery across multiple databases |
US7881937B2 (en) * | 2007-05-31 | 2011-02-01 | International Business Machines Corporation | Method for analyzing patent claims |
US8160306B1 (en) * | 2007-06-06 | 2012-04-17 | Neustel Michael S | Patent analyzing system |
US7801749B2 (en) | 2007-06-07 | 2010-09-21 | Ingenix, Inc. | System and method for grouping claim records associated with a procedure |
US20080312981A1 (en) * | 2007-06-13 | 2008-12-18 | Mdb Capital Group, Llc | Automated Identification of Competitors |
US8538794B2 (en) * | 2007-06-18 | 2013-09-17 | Reuven A. Marko | Method and apparatus for management of the creation of a patent portfolio |
US8271473B2 (en) * | 2007-06-25 | 2012-09-18 | Jobs2Web, Inc. | System and method for career website optimization |
CN101334771A (en) | 2007-06-28 | 2008-12-31 | 冠亚智财股份有限公司 | Correlation screening system and method for patent constituted element combination |
US8230458B2 (en) | 2007-06-29 | 2012-07-24 | At&T Intellectual Property I, L.P. | System and method of providing video content commentary |
US20090006328A1 (en) * | 2007-06-29 | 2009-01-01 | Nokia Corporation | Identifying commonalities between contacts |
KR101103766B1 (en) * | 2007-07-03 | 2012-01-12 | 성균관대학교산학협력단 | Terminal, method, recording medium for collecting user preference information using tag information |
US20090012827A1 (en) | 2007-07-05 | 2009-01-08 | Adam Avrunin | Methods and Systems for Analyzing Patent Applications to Identify Undervalued Stocks |
US8254692B2 (en) * | 2007-07-23 | 2012-08-28 | Hewlett-Packard Development Company, L.P. | Document comparison method and apparatus |
WO2009018223A1 (en) * | 2007-07-27 | 2009-02-05 | Sparkip, Inc. | System and methods for clustering large database of documents |
US20090030713A1 (en) | 2007-07-27 | 2009-01-29 | Venkatachalam A R | System and method of reviewing ownership of and encumbrances on intellectual property assets |
KR100901938B1 (en) * | 2007-08-14 | 2009-06-10 | 엔에이치엔비즈니스플랫폼 주식회사 | Method and system for revising click through rate |
US20090228777A1 (en) * | 2007-08-17 | 2009-09-10 | Accupatent, Inc. | System and Method for Search |
US20090055721A1 (en) * | 2007-08-23 | 2009-02-26 | Kahn Michael R | Patent claim visualization system and method |
KR20100072214A (en) | 2007-08-28 | 2010-06-30 | 렉시스넥시스 그룹 | Document search tool |
US8275708B1 (en) * | 2007-09-12 | 2012-09-25 | United Services Automobile Associates (USAA) | Systems and methods for automatic payment plan |
US20090083049A1 (en) * | 2007-09-24 | 2009-03-26 | Sciarrino David M | Claim chart creation system |
WO2009046385A1 (en) * | 2007-10-04 | 2009-04-09 | Lee, Lewis, C. | Aggregation, analysis, and presentation of intellectual property and financial information |
US7836048B2 (en) | 2007-11-19 | 2010-11-16 | Red Hat, Inc. | Socially-derived relevance in search engine results |
US20090150326A1 (en) | 2007-12-10 | 2009-06-11 | Foundationip, Llc | Smart agent for examination of an application |
US8862622B2 (en) * | 2007-12-10 | 2014-10-14 | Sprylogics International Corp. | Analysis, inference, and visualization of social networks |
US9324078B2 (en) | 2007-12-17 | 2016-04-26 | SMOOTH PRODUCTIONS, Inc. | Dynamic social network system |
US20090164404A1 (en) * | 2007-12-24 | 2009-06-25 | General Electric Company | Method for evaluating patents |
US9146985B2 (en) * | 2008-01-07 | 2015-09-29 | Novell, Inc. | Techniques for evaluating patent impacts |
US9384175B2 (en) * | 2008-02-19 | 2016-07-05 | Adobe Systems Incorporated | Determination of differences between electronic documents |
US8112174B2 (en) * | 2008-02-25 | 2012-02-07 | International Business Machines Corporation | Processor, method and computer program product for fast selective invalidation of translation lookaside buffer |
US8010535B2 (en) * | 2008-03-07 | 2011-08-30 | Microsoft Corporation | Optimization of discontinuous rank metrics |
JP5087442B2 (en) | 2008-03-21 | 2012-12-05 | 富士フイルム株式会社 | Optical compensation film manufacturing method and manufacturing apparatus, optical compensation film, polarizing plate, liquid crystal display device |
US8032515B2 (en) * | 2008-03-26 | 2011-10-04 | Ebay Inc. | Information repository search system |
US20090254393A1 (en) * | 2008-04-04 | 2009-10-08 | Greenblum & Bernstein, P.L.C. | Billing, docketing and document management |
US8218487B2 (en) * | 2008-04-09 | 2012-07-10 | Texas Instruments Incorporated | System and method of adaptive frequency hopping with look ahead interference prediction |
GB2473155A (en) * | 2008-05-26 | 2011-03-02 | Kenshoo Ltd | A system for finding website invitation cueing keywords and for attribute-based generation of invitation-cueing instructions |
US8196030B1 (en) * | 2008-06-02 | 2012-06-05 | Pricewaterhousecoopers Llp | System and method for comparing and reviewing documents |
CA2727963A1 (en) * | 2008-06-24 | 2009-12-30 | Sharon Belenzon | Search engine and methodology, particularly applicable to patent literature |
US20100023386A1 (en) | 2008-07-23 | 2010-01-28 | Sol Avisar | Social networking platform for intellectual property assets |
US8805110B2 (en) * | 2008-08-19 | 2014-08-12 | Digimarc Corporation | Methods and systems for content processing |
US9003474B1 (en) | 2008-08-22 | 2015-04-07 | Taser International, Inc. | Systems and methods for managing disclosure of protectable information |
US20100057533A1 (en) | 2008-09-04 | 2010-03-04 | Universidad Catolica de la SSMA, Concepcion | Multidimensional method and computer system for patent and technology portfolio rating and related database |
US20100077007A1 (en) | 2008-09-18 | 2010-03-25 | Jason White | Method and System for Populating a Database With Bibliographic Data From Multiple Sources |
US20100082395A1 (en) * | 2008-09-29 | 2010-04-01 | Anthony Bernard De Andrade | Systems and methods for analyzing a portfolio of intellectual property assets |
US20100131513A1 (en) | 2008-10-23 | 2010-05-27 | Lundberg Steven W | Patent mapping |
US9336304B2 (en) * | 2008-11-10 | 2016-05-10 | Gary J. Speier | Patent analytics system |
US20100174698A1 (en) | 2009-01-06 | 2010-07-08 | Global Patent Solutions, Llc | Method for a customized and automated forward and backward patent citation search |
CN101464897A (en) * | 2009-01-12 | 2009-06-24 | 阿里巴巴集团控股有限公司 | Word matching and information query method and device |
US8768960B2 (en) * | 2009-01-20 | 2014-07-01 | Microsoft Corporation | Enhancing keyword advertising using online encyclopedia semantics |
US20100198650A1 (en) * | 2009-01-23 | 2010-08-05 | Mark Shaw | Method of providing game tracking data |
US20100191622A1 (en) * | 2009-01-28 | 2010-07-29 | Zvi Reiss | Distributed Transaction layer |
US8214380B1 (en) * | 2009-02-09 | 2012-07-03 | Repio, Inc. | System and method for managing search results |
US20100250340A1 (en) * | 2009-03-24 | 2010-09-30 | Ip Street, Inc. | Processing and Presenting Intellectual Property and Other Information |
US20100250479A1 (en) * | 2009-03-31 | 2010-09-30 | Novell, Inc. | Intellectual property discovery and mapping systems and methods |
JP5784586B2 (en) | 2009-04-20 | 2015-09-24 | エムペグ エルエイ,エルエルシー | System and method for managing patent licenses |
US8412659B2 (en) * | 2009-05-11 | 2013-04-02 | General Electric Company | Semi-automated and inter-active system and method for analyzing patent landscapes |
US20100306825A1 (en) * | 2009-05-27 | 2010-12-02 | Lucid Ventures, Inc. | System and method for facilitating user interaction with a simulated object associated with a physical location |
US8756229B2 (en) * | 2009-06-26 | 2014-06-17 | Quantifind, Inc. | System and methods for units-based numeric information retrieval |
US20110029476A1 (en) | 2009-07-29 | 2011-02-03 | Kas Kasravi | Indicating relationships among text documents including a patent based on characteristics of the text documents |
EP2462517A4 (en) * | 2009-08-04 | 2014-08-06 | Google Inc | Query suggestions from documents |
US8713078B2 (en) * | 2009-08-13 | 2014-04-29 | Samsung Electronics Co., Ltd. | Method for building taxonomy of topics and categorizing videos |
US8768313B2 (en) * | 2009-08-17 | 2014-07-01 | Digimarc Corporation | Methods and systems for image or audio recognition processing |
US20110047166A1 (en) * | 2009-08-20 | 2011-02-24 | Innography, Inc. | System and methods of relating trademarks and patent documents |
US10013726B1 (en) | 2009-08-26 | 2018-07-03 | Edward Jung | Acquiring intellectual property assets |
US20110246473A1 (en) * | 2009-09-16 | 2011-10-06 | John Stec | Computerized method for analyizing innovation interrelationships within and between large patent portfolios |
US8706715B2 (en) * | 2009-10-05 | 2014-04-22 | Salesforce.Com, Inc. | Methods and systems for joining indexes for query optimization in a multi-tenant database |
WO2011056557A2 (en) | 2009-10-26 | 2011-05-12 | View2Gether Inc. | System and method for providing a user terminal with supplemental information to a search result |
US20110112824A1 (en) * | 2009-11-06 | 2011-05-12 | Craig Peter Sayers | Determining at least one category path for identifying input text |
US8954893B2 (en) * | 2009-11-06 | 2015-02-10 | Hewlett-Packard Development Company, L.P. | Visually representing a hierarchy of category nodes |
US8972271B2 (en) * | 2009-12-17 | 2015-03-03 | American Express Travel Related Services Company, Inc. | System and method for enabling custom portfolio definition in an IP marketplace |
US20110153852A1 (en) * | 2009-12-17 | 2011-06-23 | American Express Travel Related Services Company, Inc. | System and method for valuing and rating intellectual property assets |
US8000528B2 (en) * | 2009-12-29 | 2011-08-16 | Konica Minolta Systems Laboratory, Inc. | Method and apparatus for authenticating printed documents using multi-level image comparison based on document characteristics |
US9183288B2 (en) * | 2010-01-27 | 2015-11-10 | Kinetx, Inc. | System and method of structuring data for search using latent semantic analysis techniques |
US8209349B2 (en) | 2010-02-01 | 2012-06-26 | Rockmelt, Inc. | Integrated saved search results |
US9110971B2 (en) * | 2010-02-03 | 2015-08-18 | Thomson Reuters Global Resources | Method and system for ranking intellectual property documents using claim analysis |
US8447758B1 (en) * | 2010-02-03 | 2013-05-21 | Metajure, Inc. | System and method for identifying documents matching a document metaprint |
US9514103B2 (en) * | 2010-02-05 | 2016-12-06 | Palo Alto Research Center Incorporated | Effective system and method for visual document comparison using localized two-dimensional visual fingerprints |
US8903794B2 (en) * | 2010-02-05 | 2014-12-02 | Microsoft Corporation | Generating and presenting lateral concepts |
US20110231449A1 (en) * | 2010-03-17 | 2011-09-22 | Ashley William B | System, Method, and Apparatus for Managing Patent Reference Reporting |
WO2011123517A1 (en) * | 2010-03-30 | 2011-10-06 | Greenblum & Bernstein, P.L.C. | Remote portal for billing, docketing and document management |
US8589786B2 (en) * | 2010-03-30 | 2013-11-19 | Merchant & Gould P.C. | Trademark report with store layout diagram |
TWI443529B (en) * | 2010-04-01 | 2014-07-01 | Inst Information Industry | Methods and systems for automatically constructing domain phrases, and computer program products thereof |
US20110246379A1 (en) * | 2010-04-02 | 2011-10-06 | Cpa Global Patent Research Limited | Intellectual property scoring platform |
US10417334B2 (en) * | 2010-04-19 | 2019-09-17 | Oath, Inc. | Systems and methods for providing a microdocument framework for storage, retrieval, and aggregation |
US9177045B2 (en) * | 2010-06-02 | 2015-11-03 | Microsoft Technology Licensing, Llc | Topical search engines and query context models |
US9836460B2 (en) * | 2010-06-11 | 2017-12-05 | Lexisnexis, A Division Of Reed Elsevier Inc. | Systems and methods for analyzing patent-related documents |
US20110320582A1 (en) | 2010-06-23 | 2011-12-29 | Lewis George C | Online presence management system |
US20110320367A1 (en) * | 2010-06-25 | 2011-12-29 | International Business Machines Corporation | Method to Appraise a Patent Asset and a System to Recommend Action to Owner |
JP5574852B2 (en) | 2010-06-30 | 2014-08-20 | キヤノン株式会社 | Information processing apparatus, information processing method, system, and program |
US20120078979A1 (en) * | 2010-07-26 | 2012-03-29 | Shankar Raj Ghimire | Method for advanced patent search and analysis |
US8386493B2 (en) * | 2010-09-23 | 2013-02-26 | Infosys Technologies Limited | System and method for schema matching |
US20120076415A1 (en) * | 2010-09-27 | 2012-03-29 | Kahn Michael R | Computer aided validation of patent disclosures |
US20120095993A1 (en) * | 2010-10-18 | 2012-04-19 | Jeng-Jye Shau | Ranking by similarity level in meaning for written documents |
US20120095984A1 (en) * | 2010-10-18 | 2012-04-19 | Peter Michael Wren-Hilton | Universal Search Engine Interface and Application |
US20120109794A1 (en) | 2010-10-28 | 2012-05-03 | Alan Nathanson | System, method and apparatus for planning and managing engagements |
KR20120046671A (en) * | 2010-11-02 | 2012-05-10 | (주)광개토연구소 | System and method on making patent evaluation model, generating patent evalucation information, generating patent litigation prediction information, making patent litigation prediction model, generating patent licensing prediction information, generating patent risk hedging information |
US8712894B2 (en) | 2010-11-04 | 2014-04-29 | National Yunlin University Of Science And Technology | Method and system for evaluating/analyzing patent portfolio using patent priority approach |
US8316030B2 (en) * | 2010-11-05 | 2012-11-20 | Nextgen Datacom, Inc. | Method and system for document classification or search using discrete words |
US20120130773A1 (en) * | 2010-11-15 | 2012-05-24 | Maad Abu-Ghazalah | System and method for determining applicants' working process with an administrative agency based on past data collection and analysis of past administrative agents performance |
US20120174017A1 (en) * | 2010-12-29 | 2012-07-05 | Verisign, Inc. | Systems, methods and computer software for innovation management |
US9665637B2 (en) * | 2011-02-23 | 2017-05-30 | H. Paul Zellweger | Method and apparatus for creating binary attribute data relations |
US20120240026A1 (en) | 2011-03-14 | 2012-09-20 | Anaqua, Inc. | Method and system for related art citation management |
US20120239591A1 (en) * | 2011-03-15 | 2012-09-20 | Powell Jr G Edward | Method of calculating the market value of individual patents within a patent landscape |
US8996506B2 (en) | 2011-03-28 | 2015-03-31 | Red Hat Israel, Ltd. | Duplicate search optimization |
US9121206B2 (en) | 2011-03-31 | 2015-09-01 | Piolax, Inc. | Locking device for closing-opening member |
US20120259787A1 (en) * | 2011-04-11 | 2012-10-11 | Speier Gary J | Patent claim matrix and non-literal infringement |
EP2697710A4 (en) * | 2011-04-15 | 2014-10-08 | Ip Street Inc | Evaluating intellectual property |
US9904726B2 (en) | 2011-05-04 | 2018-02-27 | Black Hills IP Holdings, LLC. | Apparatus and method for automated and assisted patent claim mapping and expense planning |
US20120317041A1 (en) * | 2011-06-08 | 2012-12-13 | Entrepreneurial Innovation, LLC. | Patent Value Calculation |
US20130007578A1 (en) * | 2011-06-30 | 2013-01-03 | Landon Ip, Inc. | Method and apparatus for displaying component documents of a composite document |
US8856181B2 (en) * | 2011-07-08 | 2014-10-07 | First Retail, Inc. | Semantic matching |
US8751488B2 (en) * | 2011-08-24 | 2014-06-10 | Waypart, Inc. | Part number search method and system |
US20130086080A1 (en) | 2011-10-03 | 2013-04-04 | Steven W. Lundberg | System and method for information disclosure statement management and prior art cross-citation control |
US9940363B2 (en) | 2011-10-03 | 2018-04-10 | Black Hills Ip Holdings, Llc | Systems, methods and user interfaces in a patent management system |
US20130282571A1 (en) | 2011-10-03 | 2013-10-24 | Black Hills Ip Holdings, Llc | System and method for dynamic contact management |
US20130132302A1 (en) | 2011-11-18 | 2013-05-23 | Black Hills Ip Holdings, Llc | Systems, methods and interfaces in a patent portfolio management system |
US9418083B2 (en) | 2012-04-20 | 2016-08-16 | Patterson Thuente Pedersen, P.A. | System for computerized evaluation of patent-related information |
US20140108273A1 (en) * | 2012-08-20 | 2014-04-17 | Black Hills Ip Holdings, Llc | Systems and methods for patent portfolio management and generation of analytics |
US11461862B2 (en) * | 2012-08-20 | 2022-10-04 | Black Hills Ip Holdings, Llc | Analytics generation for patent portfolio management |
US9461876B2 (en) * | 2012-08-29 | 2016-10-04 | Loci | System and method for fuzzy concept mapping, voting ontology crowd sourcing, and technology prediction |
US20140324808A1 (en) * | 2013-03-15 | 2014-10-30 | Sumeet Sandhu | Semantic Segmentation and Tagging and Advanced User Interface to Improve Patent Search and Analysis |
US20140317000A1 (en) * | 2013-04-19 | 2014-10-23 | Steven W. Lundberg | System and method for management of a patent portfolio |
US20140365386A1 (en) * | 2013-06-05 | 2014-12-11 | David W. Carstens | Intellectual Property (IP) Analytics System and Method |
US20150006410A1 (en) * | 2013-06-26 | 2015-01-01 | Fatih Mehmet Ozluturk | Method and system for electronic patent review and analysis |
US20150121185A1 (en) * | 2013-10-28 | 2015-04-30 | Reed Technology And Information Services, Inc. | Portfolio management system |
US9965460B1 (en) * | 2016-12-29 | 2018-05-08 | Konica Minolta Laboratory U.S.A., Inc. | Keyword extraction for relationship maps |
US11676231B1 (en) * | 2017-03-06 | 2023-06-13 | Aon Risk Services, Inc. Of Maryland | Aggregating procedures for automatic document analysis |
-
2011
- 2011-12-01 US US13/309,060 patent/US9940363B2/en active Active
- 2011-12-01 US US13/309,039 patent/US20130086093A1/en not_active Abandoned
- 2011-12-01 US US13/309,080 patent/US20130086033A1/en not_active Abandoned
- 2011-12-01 US US13/309,102 patent/US20130086106A1/en not_active Abandoned
- 2011-12-01 US US13/309,146 patent/US20130084009A1/en not_active Abandoned
- 2011-12-01 US US13/309,127 patent/US20130085946A1/en not_active Abandoned
- 2011-12-01 US US13/309,200 patent/US10268731B2/en active Active
- 2011-12-01 US US13/309,166 patent/US10242066B2/en active Active
- 2011-12-02 US US13/310,368 patent/US10628429B2/en active Active
- 2011-12-02 US US13/310,279 patent/US11294910B2/en active Active
- 2011-12-02 US US13/310,452 patent/US20130086120A1/en not_active Abandoned
- 2011-12-02 US US13/310,417 patent/US20130086084A1/en not_active Abandoned
- 2011-12-02 US US13/310,322 patent/US20130086048A1/en not_active Abandoned
- 2011-12-06 US US13/312,507 patent/US9286351B2/en active Active
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2012
- 2012-01-17 US US13/351,533 patent/US20130085947A1/en not_active Abandoned
- 2012-02-29 US US13/408,877 patent/US20130085911A1/en not_active Abandoned
- 2012-02-29 US US13/408,917 patent/US20130085933A1/en not_active Abandoned
- 2012-03-01 US US13/409,189 patent/US20130085912A1/en not_active Abandoned
- 2012-03-16 US US13/422,750 patent/US20130085948A1/en not_active Abandoned
- 2012-03-20 US US13/424,705 patent/US20130085949A1/en not_active Abandoned
- 2012-03-20 US US13/424,682 patent/US8600900B2/en active Active
- 2012-04-20 US US13/452,400 patent/US20130085964A1/en not_active Abandoned
- 2012-07-19 US US13/553,596 patent/US20130086257A1/en not_active Abandoned
- 2012-07-19 US US13/553,572 patent/US20130085929A1/en not_active Abandoned
- 2012-08-24 US US13/594,002 patent/US20130085950A1/en not_active Abandoned
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2013
- 2013-12-02 US US14/094,542 patent/US20140089210A1/en not_active Abandoned
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- 2015-08-13 US US14/826,018 patent/US9858319B2/en active Active
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- 2016-02-29 US US15/057,047 patent/US9679019B2/en active Active
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- 2017-06-09 US US15/619,150 patent/US10585904B2/en active Active
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- 2018-03-05 US US15/912,553 patent/US11086886B2/en active Active
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- 2019-02-12 US US16/274,228 patent/US10803073B2/en active Active
- 2019-03-13 US US16/352,364 patent/US11048709B2/en active Active
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- 2020-02-06 US US16/784,234 patent/US11256706B2/en active Active
- 2020-03-10 US US16/814,911 patent/US11372864B2/en active Active
- 2020-09-29 US US17/037,223 patent/US11360988B2/en active Active
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- 2021-05-13 US US17/320,202 patent/US11797546B2/en active Active
- 2021-06-30 US US17/364,566 patent/US20220058201A1/en active Pending
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- 2022-01-25 US US17/584,343 patent/US11789954B2/en active Active
- 2022-02-28 US US17/683,044 patent/US11803560B2/en active Active
- 2022-05-16 US US17/745,863 patent/US11714819B2/en active Active
- 2022-05-16 US US17/745,864 patent/US11775538B2/en active Active
-
2023
- 2023-06-27 US US18/215,042 patent/US20240070159A1/en active Pending
- 2023-09-22 US US18/372,031 patent/US20240126769A1/en active Pending
- 2023-09-22 US US18/372,030 patent/US20240126768A1/en active Pending
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