Tools for identifying patents for a particular purpose such as a prior art search, validity analysis, or a freedom to operate investigation, operate by performing Boolean queries using various search operators. These operators allow for searching by date, terms, document number, and patent classification, among others. These tools further allow for searching individual document portions such as a document title, abstract, or claim set.
Other searching tools accept freeform text. Such tools accept a freeform text block and extract information from the text block deemed most likely to return acceptable results. However, such tools are still limited to only performing Boolean queries and displaying a list of results.
These search tools often provide large numbers of results, most of which are irrelevant. These tools fail to present results in a manner allowing for quick relevancy determinations. The presentation also fails to provide enough detail suggesting how to adjust a search for obtaining only relevant results. Further, the search tools provide the documents of the result set in a manner very similar to the traditional paper format of the documents. Quick relevancy determination is important in managing the assessment of large volumes of prior art for potential citation to government patent agencies.
Some example embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings in which:
The following detailed description of the present subject matter refers to the accompanying drawings which show, by way of illustration, specific aspects and embodiments in which the present subject matter may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the present subject matter. Other embodiments may be utilized and structural, logical, and electrical changes may be made without departing from the scope of the present subject matter. References to “an”, “one”, or “various” embodiments in this disclosure are not necessarily to the same embodiment, and such references contemplate more than one embodiment. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope is defined only by the appended claims, along with the full scope of legal equivalents to which such claims are entitled.
The subject matter herein provides systems, software, methods, and data structures for patent mapping, ranking and rating of patents, searching, and generating visual representations of the patents and patent portfolios to quickly analyze the patents for many reasons including, but not limited to, claim coverage and value. In an example embodiment, a patent portfolio may comprise one or more patents that may or may not be commonly owned or related. The collection of patent portfolios and patents may be stored in one or more databases. A patent may belong to more than one portfolio at the same time. In an example embodiment, the underlying patents and patent claims included in each patent portfolio may be categorized by patent concepts (sometimes referred herein as concepts) such as scope concepts (SC) and technology categories (TC).
In an example embodiment, technology categories are categories that claims relate to, but are not necessarily limited to. For example, a claim to a pulse generator may be put in the technology category “pacemaker”, but not be limited to a pacemaker per se—perhaps the claim merely says that the pulse generator generates a pulse of certain type that is useful for pacing, but pacing does not appear in the claim. Hence, the claim relates to the technology category “pacemaker,” but it is not limited to being a pacemaker.
In an example embodiment, scope concepts are concepts that a claim is limited to. This is contrast to technology categories, where the claim may be mapped to a TC but it not necessarily limited to it. A scope concept may defined in a way to give the concept a context that a user can understand without necessarily having to look at the corresponding claim language. For example, if the scope concept is “method or apparatus for cardiac rhythm management”, and it is mapped to claim A, then claim A by definition is limited to this application, such that if a target device does not perform cardiac rhythm management, then it would not infringe claim A.
In an example embodiment, there are two types of scope concepts: 1) high level scope concepts that are like technical categories in the sense they are broad and general and apply to many claims in a portfolio; and 2) scope concepts that are specific to a limited number of claims—for example all claims in a patent may be limited to a very specific distinguishing feature, and this feature could be the basis for a scope concept.
In some example embodiments, high level scope concepts may be defined prior to mapping, and then assigned as applicable. For example, several scope concepts like: atrial pacing, ventricular pacing, defibrillation method or device, etc, may be defined. Then a mapping team may go through all claims in a portfolio and map these scope concepts to claims that are limited to these concepts. After the mapping is complete, an analysis may be done showing how many claims in the portfolio are limited to each of these scope concepts, and the claims may be presented for each SC. This may be useful is disqualify claims that are not of interest to a particular target (e.g., if an analysis is being done to find a claim that covers an alleged infringer). In some example embodiments, specific scope concepts are mapped patent by patent or by patent family. These may enable a person to create one or two scope concepts that can be mapped across all claims in given patent, a family of patents, or across a portion of a patent portfolio. In order to effectively formulate a scope concept that may be globally useful across a patent portfolio, it may be useful to be able to examine multiple patent claims at the same time even if they are not all in the same patent or patent family.
In various embodiments, the modules, engines, and databases are implemented in a combination of software and hardware. For example, a mapping module can be stored as set of instructions stored on a machine-readable medium. The instructions can be executed on a processor and cause a machine to perform operations related to mapping. Additionally, the visual presentation of data in not limited to engines and may be done by modules as well. Similarly, engines may contain underlying logic dictating on how each engine functions and interacts with the user, software, and hardware of the system. In various embodiments, the modules, engines, and databases are combined.
In an example embodiment, the account database 202 includes data pertaining to the different users of the system. In some embodiments, different levels of user are defined. For example, an administrator level allows the creation of an ontology (e.g., a collection of patent concepts and keywords) and mapping of patent claims while an analysis level user may only mine the map for patent claims. The web server engine 208 may present webpages to the user via the user device. The webpages may include forms and user interfaces for the user to interact with such that the user may manipulate the underlying data stored on the server device on one or more databases.
In an example embodiment, databases 212, 218, 220, 222, and 226 store the underlying data that the server device interacts with and modifies according to user input. The patent database 212 may include information related to all the patents, patent applications and patent portfolios stored in the system such as title, filing data, assignee, etc. As used in this specification, the term “patent matter” is intended to include within its scope and meaning any matter patent-related matter or case, for example a granted patent, a pending patent application, or an invention disclosure statement. The patent database 212 may include information related to prior art reference citations, or “references”. The prior art references may be associated with one or more of patents and/or patent applications stored in the patent database 212. The references may have been cited against or be otherwise potentially relevant to one or more of the patents or applications stored in the patent database 212. In an example embodiment and method, the prior art references may require relevancy assessment prior to submission and/or citation to the USPTO or other international government patent agency imposing disclosure requirements on applicants. The prior art references may be collected, reviewed and cited accordingly in example embodiments and methods described in more detail further below. In this specification, references to mapping include references to prior art mapping. In example embodiments, two types of portfolio may be created and stored in the patent database 212, an “Analysis” portfolio and a “Prior Art” portfolio.
The concept database 218 may store all the concepts that have been defined either by the user or automatically by the system. The patent claim database 220 may include information related to patent claims including which patent they belong to as well as concepts that have been mapped to the patent claims. The patent set database 222 may store information on sets of patents that have been defined by the user. In an example embodiment, a patent set may be defined by exclusion mining (e.g., the set of patents that have NOT been mapped to a certain concept). The ontology database 226 may store information on a user defined set of concepts.
The mapping module 224, in an example embodiment, enables a user to map a concept to a patent claim. For example, the user may create and define a patent concept which is then stored in the concept database. The user may then send an indication, through the user device, that a patent claim in the patent claim database 220 should be mapped to the new concept. The indication may take the form of a type of user input such as clicking on an interface using an input device. The server device may then store this mapping in the patent claim database. For example, a relationship between the patent claim and concept may be stored in one or more of the databases. The mining module 204, in an example embodiment, allows a user to search through the data stored in the databases to find patent claims of interest. For example, a user may wish to find all the patent claims related to a gear used in a bicycle. Rather than having the user define what the gear is, the user may indicate to the mining module what the gear is not, by indicating what concepts do not apply (exclusion mining). The mining module may search the entire universe of claims in the patent claim database, or a portion of the patent claim database, and retrieve the remaining patent claims (those claims that not have the concept) and present them to the user.
The visualization engine, in an example embodiment, generates reports and visual depictions of the data contained in a set of claims. For example, the visualization engine may generate a spreadsheet with the concepts in the concept database as rows and the patent claims as the columns. Color coding may be used to signify where a patent claim has been mapped to a concept. In some example embodiments, a user of the system may add additional data that influences the spreadsheet created. Some example embodiments include the generation of competitor landscape, freedom to operate, product coverage, validity, valuation, white space analysis, and white space claim generation spreadsheets. In various embodiments, other forms of coding are used such as shading and patterning.
The tracking module 216, according to an example embodiment, maintains information related to a specific patent, group of patents, or concept. For example, the tracking module may store information related to a patent's prosecution and litigation history such as office actions or claim amendments. Alerts (e.g., electronic mail) may be sent to a user indicating a change in a patent or patent application.
The ranking module 210 and valuation module 214, according to example embodiments, enable the user to provide additional information related to patents, patent claims, and concepts that may be used to determine a course of action such as abandoning a patent or pursing research in a specific field. For example, a user may indicate a specific concept as being key to her business. Further, a lawyer or other trained patent professional may provide a ranking for each patent included in her portfolio related to scope, design around protection, and detectability effort. The system may take this knowledge and through the visualization engine generate a chart that shows the highest ranked patents that also include her important concept.
Data Models
In an example embodiment, data models are defined to store the information related to the patents being analyzed.
In an example embodiment, Patent model 302 includes types of information related to a patent including, but not limited to, whether or not it is an application, the number of claims, when it was filed, what organization it may belong to, the serial number, and its status. As can be seen, each piece of information may have an associated class such as a Boolean or string. In some cases, the type is actually another class (e.g, global ranking has a class of Global Ranking). Further shown are the elements of a data model that relate to another data model. For example, example Mapping Status 326, Patent Relation 320, Patent Inclusion 318, and claim 312 models all include an element of patent with a class of Patent. This relationship allows the system to examine a Claim class and determine the Patent in which the Claim is included.
In some embodiments, the Mapping 310 data model defines persistent objects that define the relationships between the a concept (e.g., technology categories and scope concept), a claim, and an ontology. As shown, there are many elements that a Mapping 320 class may include, such as, but not limited to, citations, notes, ontology, concept type and claim. Further, in an example embodiment, many Mapping objects may be related to one Ontology object and one Claim object. Thus, if one were to examine a Mapping object, there would be a relationship defining the ontology to which the object belongs to as well as the claim to which it has been assigned. In addition, there may be an integer signifying the type of concept to which the Mapping object belongs. As data model Concept Type 316 suggests each type of concept may be enumerated as well as be defined by an integer value. For example, the concept of scope concept may be given the value of ‘1.’ Also, the “object” element illustrated has an associated class of Concept 314. Accordingly, the Mapping object may be linked to an example concept that has been defined as “two wheeled transportation.” The mapping operation element may define the relationship between the cited claim and the concept. For example, a concept may be directly mapped to a claim. Other possibilities are discussed further with reference to
claim: Claim A
conceptType: 1
object: Two wheeled transportation
ontology: Bikes
mapping operation: Directly Mapped
In an example embodiment, a Mapping object is created each time the system receives an indication a concept is to be mapped to a claim. In an embodiment, an indication may be stored that a concept is not mapped to a claim.
In an example embodiment, a Concept 314 object is created for every user defined concept as well as any concept the system may define automatically. Each Concept 314 may contain, but is not limited to elements of, conceptType, description, hidden, intelliMapAllowed, keywordLabel, name, organization, and underReview. As discussed above, a Concept 314 object may contain an enumeration of the ConceptType 316 object. For example, the conceptType element may have an example value of “scope concept.” The description element may describe when a concept should be applied to a claim or other helpful information relating to the concept. The intelliMapAllowed Boolean may indicate whether the system may automatically apply the concept to other claims included in the system. For example, a concept type might be “keyword.” These keywords may be verbatim phrases or individual words in the claim. Thus, a user may be able to safely have the system search other claims and find the same keyword and automatically create Mapping 310 objects for the keyword and found claims. The intelliMapAllowed may indicate whether the system should search automatically for these keywords.
In an example embodiment, the OntologyConcept 328 class only contains two elements, ontology and concept. An Ontology Concept 328 may be created to signify the relationship between a Concept 314 object and an Ontology 324 object. As shown, an Ontology 324 object may include many OntologyConcept objects. Also, as shown, a Concept 314 object may belong to many OntologyConcept 328 objects.
Also shown in
In an example embodiment, the PatentSet 408 class operates as the central class for mining. As illustrated, many of the other classes shown relate to the PatentSet 408 class. A PatentSet object may have many PatentInclusion 416, ConceptExclusion 410, and IncludedClaim 404 objects. Also, in an example embodiment, a PatentSet object may have many ConceptInclusion 422 objects related to it by virtue of the PatentSearch 414 class. Through user interfaces presented to a user and user input, a Patent Set may be defined. This may be done by a user adding claims manually or by a more sophisticated method involving a user defining which concepts to exclude or include. The various data models support an almost endless amount of customization for users of the system in the creation of patent sets.
In an example embodiment, the created patent sets may be saved for future use, as well as themselves becoming the basis for creating a new patent set. This may enable a user to efficiently search through any number of patents. The system may operate in such a manner that when a request is made to retrieve patents included in a patent set, the system responds by applying the relationships defined by the objects for that patent set. For example, the ConceptExclusion objects. This execution method may allow newly mapped patents to be included or excluded from the patent set with no additional input from a user. Thus, if a user wishes to find the intersection between a patent set related to vehicles and a patent set related to audio, the most current mapped patents available will be presented. As will be discussed in greater detail with respect to portfolio mapping, the ability to create patent sets and combine them may greatly speed up the process of finding common concepts across patents.
0.5(scope)+0.25(detectability)+0.25(design around)=rating.
Once all of the patents have been ranked, the results may be presented to the user in a web browser, in the form of a chart, or using any other suitable display mechanism.
An AnnuityInformation object may include information related to annuities for an issued patent. Depending on the rating and annuity information of a patent, a user may automatically let patents go abandoned, a user may be alerted, or an annuity may automatically be paid. Other example embodiments will be obvious to one skilled in the art.
Portfolio Mapping
In an example embodiment, a database of ontologies may also be maintained, the ontologies including one or more patent concepts. As discussed above, an ontology may include all the metadata (patent concepts) that one may wish to map to a patent claim. For instance, the one or more patent concepts may include a technology category. The one or more patent claims may also include a scope concept, the scope concept defining a scope to which a patent claim is limited. The one or more patent or scope concepts in the database of ontologies may be organized in a hierarchical manner. Concepts lower in the hierarchy will typically be subsumed within the meaning or fall within the scope of a concept higher in the hierarchy. In an example embodiment, an indication of a relationship between a given patent concept and one or more patent claims in the database of patent claims may be stored. In further example embodiments, an indication stored against a concept higher in the hierarchy of patent concepts causes the same indication to be stored against associated concepts lower in the hierarchy of patent concepts. This ability to map and indicate claims against concepts collectively expedites and facilitates mapping review as several patent or scope concepts may be reviewed and dealt with at one time.
Keywords may also be used as patent concepts. These may be any term or short phrase that appears in the claim, exactly as it appears in the claim. As these terms are taken from the claims, they may be thought of as limitations in the sense that if the term cannot be read on an accused device, the claim probably does not cover the accused device. Example user interfaces showing scope concepts in an ontology can be seen with reference to
In an example embodiment, at block 1004, a search query associated with a first patent portfolio is retrieved. A user of the system may wish to search a previously created portfolio of patents. A patent portfolio may include patents that a user wishes to analyze. For example, a portfolio might include all of the patents for a company ABC Corp (ABC). A portfolio may be stored and defined as a patent set in the patent set database (e.g., patent set database 222 in
The search query may help to narrow down the patent. In an example embodiment, the search query many include a regular expression. For example, if the search query is “*” all the patent claims in the patent portfolio will be displayed. Boolean expressions such as “car && dog” may also be used. In some example embodiments, an option is included to only search independent claims, dependent claims, or to search both. In some example embodiments, the portfolio may further be narrowed by using patent concepts that have been included in the current ontology.
Referring back to
Referring back to
With reference back to
Upon a user indicating a preferred mapping for each patent claim, a user may further indicate a preference of which category of patent concept to map. In an example embodiment, there are two categories: technology categories and scope concepts (e.g., elements 924 and 926 in
Further example options may be presented to the right of each concept. An option to “modify and map” 1412 may be selected if the user wishes to modify the concept. This may be useful if a user wishes to broaden the concept so that it may be mapped to more patent claims. For example, a narrow technology category may have been defined as “power computer speakers.” Rather than a user defining a new technology category of “passive computer speakers,” the user might decide it makes more logical sense to only have one technology category titled “computer speakers.” In an example embodiment, the user can safely select “modify and map” and change the technology category to “computer speakers.” This may safely be done because all “powered computer speakers” are also “computer speakers.” In an example embodiment, every patent claim, regardless of which portfolio(s) it may be included in, will be updated to reflect the modified concept. Thus, it may not be advisable to narrow a concept without being certain every patent claim in the system adheres to the modified concept. In an example embodiment, a warning may be displayed to the user explaining the effects of modifying a concept.
In an example embodiment, an indication of a relationship between the patent concept and the plurality of claims in the database of patents may be stored (e.g., updating one or more databases). This may be accomplished, for example, by the user selecting the map button as displayed in
It some example embodiments mapping a plurality of patent claims to a patent concept includes defining the patent concept. Defining the patent concept may be initiated by a user clicking on the example “add_new” button 1406 as displayed in
Report and Chart Generation
As described, the system may allow the generation of visual representation of the data included in the databases to further maximize the value of concepts to patent claims. In some example embodiments the charts may be interactive. In some example embodiments, a method to generate the charts includes formulating a query to send to one or more databases, the query requesting whether or not a set of patent claims have been mapped to a set of patent concepts. An additional query may be sent to the databases to determine additional metadata about the patent claims including, but not limited to, the filing data and owner of each patent. Ranking data may be received for each patent concept retrieved from the databases. In an example embodiment, the system generates a relationship between a ranking, a patent concept, and a patent claim and displays the relationship to the user in the form of a chart. The ranking data may be stored in the database or may be received from a user. In some embodiments, ranking data may include integer values of disparate range (e.g., 1-10 or 1-100) alphabetical letters (e.g., a grading scale of A-F), or any other means to characterize a claim or concept.
In an example embodiment, a competitor landscape chart may be generated. An example simple competitor landscape chart is shown in
In an example embodiment, a product coverage chart may be generated. An example product coverage chart is shown in
This chart may also allow interactivity with a user. This interactivity may include the user changing the “Has feature” values and the chart automatically updating the claim coverage and product coverage rows. For example, if the SC 1 rating was changed to ‘1,’ the claim coverage value of the patent “Title 1” may change to “1” signifying the patent does not apply to the product. In some embodiments, any changes that result from input from the user are highlighted on the chart. This may allow a user to quickly see the effects of potential changes to product coverage.
Computer System
The example computer system 2300 includes a processor 2302 (e.g., a Central Processing Unit (CPU), a Graphics Processing Unit (GPU) or both), a main memory 2304 and a static memory 2306, which communicate with each other via a bus 2308. The computer system 2300 may further include a video display unit 2310 (e.g., a Liquid Crystal Display (LCD) or a Cathode Ray Tube (CRT)). The computer system 2300 may also includes an alphanumeric input device 2312 (e.g., a keyboard), a User Interface (UI) cursor controller (e.g., a mouse), a disc drive unit 2316, a signal generation device 2318 (e.g., a speaker) and a network interface device (e.g., a transmitter) 2320.
The disc drive unit 2316 includes a machine-readable medium 2328 on which is stored one or more sets of instructions 2317 and data structures (e.g., software) embodying or utilized by any one or more of the methodologies or functions illustrated herein. The software may also reside, completely or at least partially, within the main memory 2304 and/or within the processor 2302 during execution thereof by the computer system 2300, the main memory 2304 and the processor 2302 also constituting machine-readable media.
The instructions 2317 may further be transmitted or received over a network (e.g., the INTERNET) 2326 via the network interface device 2320 utilizing any one of a number of well-known transfer protocols (e.g., HTTP, Session Initiation Protocol (SIP)).
The term “machine-readable medium” should be taken to 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 sets of instructions. The term “machine-readable medium” shall also be taken to include any medium that is capable of storing, encoding or carrying a set of instructions for execution by the machine and that cause the machine to perform any of the one or more of the methodologies illustrated herein. The term “machine-readable medium” shall accordingly be taken to include, but not be limited to, solid-state memories, and optical and magnetic medium.
Prior Art Citation and Management
Example embodiments of the “Prior Art” portfolio may be used in the course of patent prosecution or in the preparation of Information Disclosure Statements. Prior art may be collected manually or automatically from one or more sources and reviewed for potential citation. Relevancy assessments may be displayed in one or more of the exemplary charts described in this specification. Prior Art portfolios may be created for the purpose of assembling related patent matters into groups so that prior art references cited, for example, against one of the matters within the group may propagate or “flow” into other matters for consideration as downstream or related citations in those other matters. This holistic overview and assessment of prior art greatly facilitates an applicant in discharging his or her duty to make full disclosure of all potentially relevant subject matter. A Prior Art portfolio will have all the features and capabilities of an Analysis portfolio and may be used in mapping techniques as described more fully above under the heading Portfolio Mapping.
As shown in
Cross citation of prior art references in portfolios may be accomplished using one or more of the functional modules described above in relation to
Prior Art P1—matters A, B, C
Analysis PA1—matters C, D, E
Prior Art P2—matters E, F, G
If an Analysis portfolio is converted into a Prior Art portfolio (by redesignation of the “type” field selector 242 described above, for example), the existing references cited against the various individual matters in this portfolio will flow to all other matters contained within the portfolio. In other words, all matters will have the same set of references for review, or mapping and/or potential submission to the USPTO, for example. Additionally on conversion of an Analysis portfolio to a Prior Art portfolio, references will flow to other Prior Art portfolios based on the existence of “common” matters as described above. In order to avoid a proliferation of potentially confusing reference flow, “reverse” or “roll back” reference flow is not allowed (i.e. is disabled) when a Prior Art portfolio is converted into an Analysis portfolio. All references associated with that portfolio will remain as they are at that point in time, but no further flow will occur if new references are added to the (converted) Analysis portfolio.
Certain further rules and exceptions may be provided for reference flow. A reference cannot flow into a matter having the status of one of the following types: Issued, Archived Expired, Abandoned, Expired, Expired Pending Renewal/Extension, and Expired/Terminated. New references flowing into matters are initially referenced as “Unmarked”. Duplicate references cannot flow into any matter. For example, if a matter already contains Version 1 of reference R, the system will not allow Version 2 of Reference R to flow into the same matter.
In some example embodiments, the propagation or “flow level” of references flowing between respective Prior Art portfolios may be indicated. The term “flow level” can also be referred to as “generation level” or “generation flow”. Such an indication can serve to categorize the prior art citations and may greatly assist in determining the likely relevance of a listed prior art reference to be cited in a potential Information Disclosure Statement, for example. A “source” patent matter, in a given patent portfolio, that a prior art reference is added to or associated with initially does not have a “flow level” or “level indicator” since that matter is indicated as the “source” matter for that reference. This “source” level may be considered as a “zero” or “base” level for the reference.
All matters in the portfolio in which that “source” matter is contained receiving the “flow” of that reference to them will exhibit a “Flow Level” indication of “1”. When the reference flows outside the portfolio, for example, where a “common” matter exists between portfolios, a “Flow Level” indication of “2” is displayed. Further “flow” of that reference into other portfolios will yield “Flow Level” indications of “3”, and so on. The further a reference “flows” from its source, the higher the flow level indication. Potential relevancy of a given reference may be considered inversely proportional to its flow level.
In example embodiments, “Status” indicators may be provided for prior art references in the course of their initial identification and subsequent flow between portfolios. In
In other example embodiments and with reference to
Displayed at 290 in
At block 3110 in other example embodiments, the prior art references associated with the at least one source patent matter may be caused to flow and be associated with all the other patent matters in the same (first) prior art portfolio. At block 3112 in other example embodiments, the references may be caused to flow to at least one patent matter contained in a different (or second) patent portfolio.
At block 3114, in further example embodiments, the method may include providing an indication of the flow level of the prior art reference citations flowing from the at least one patent matter to the at least one other patent matter. As described above, this flow level indication may be designated as a “0”, “1” or a “2” depending on the successive levels of flow of a given reference from matter to matter, or in other example embodiments from portfolio to portfolio. At block 3116, in further example embodiments, the method may include providing an indication of the date on which a reference is first associated with or cited against a source patent matter, or the date on which a reference flows from the source patent matter to another matter or portfolio downstream. At block 3118, in further example embodiments the method may include providing a status indicator for each of the prior art references associated with the patent matters contained in at least the first prior art portfolio. At block 3120, in further example embodiments the method may further include providing an indication of the ground of rejection on which a prior art citation was cited by a national patent office to reject the claims of any one or more of the patent matters contained in at least the first prior art portfolio.
In further example embodiments, and with reference again to
Referring again to
A user may employ the methods, embodiments and systems of the invention to load matters (granted patents, pending applications, invention disclosures and the like) into identified “Prior Art” portfolios. Prior art citations associated with those patent matters can be caused automatically (or manually pursuant to specified criteria) to flow between matters in a portfolio, or between common matters listed in more than one Prior Art portfolio. The citations can be kept and viewed in lists in the portfolios, and the patent matters and associated citations can be added or deleted from portfolios pursuant to identified relationships (e.g. common priority claim, or same title etc), or not as the case may be. Any arbitrary patent matters or prior art reference citations can be added.
Prior art citations may be displayed in each matter and filtered for example by their nature or source (e.g. citations arriving from other matters or portfolios), the type of rejection (e.g. novelty 102/obviousness 103 etc), or by the number of flow levels (or “hops”) it took for a citation to flow to and reach a given destination matter or portfolio from a source. Other forms of analysis may be employed to identify filtering criteria.
An example use case and further example embodiments are now described with reference to
In an example embodiment, Reference P1 is entered into Matter A either automatically using a “scraper” tool, for example, or manually pursuant to one or more selection criteria adopted by a user. At this stage, and in this example embodiment, the Reference P1 has a flow level of “0”. This level indicates that a reference was sent to a prior art portfolio for citation, but was not yet added to another individual matter (Flow level 1) within the portfolio before beginning to flow across matters and portfolios. In this way, a user is able to review references at “0” level before starting cross-citation or further propagation to other matters or portfolios. In further example embodiments, references at “0” level may be held in a “pre-portfolio” holding area without yet designating a single matter in that portfolio that would start the flow process. The holding area may be visually represented separately in any one of the user interfaces described above.
Referring back to
In some embodiments, a reference (such as P1) will not flow to be added into matters where it already exists (i.e. with which it is already associated), but the prior association in that matter of a flowing reference will not stop the further propagation of the reference. Hence, if Reference P1 in
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.
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 is related to U.S. patent application Ser. No. 12/605,030, entitled “Patent Mapping” by Steve W. Lundberg and Thomas G. Marlow filed Oct. 23, 2009, which is incorporated herein by reference in its entirety and made a part hereof. U.S. patent application Ser. No. 12/605,030 claims the benefit under 35 U.S.C. 119 (e) of U.S. Provisional Patent Application Ser. No. 61/107,930 filed Oct. 23, 2008, which is also incorporated herein by reference in its entirety and made a part hereof. This application is further related to U.S. patent application Ser. No. 11/494,278, entitled “Patent Mapping,” by Steven W. Lundberg, Janal M. Kalis, and Pradeep Sinha, filed Jul. 27, 2006, which is incorporated herein by reference; and is further related to U.S. patent application Ser. No. 11/888,632, entitled “Patent Tracking,” by Steven W. Lundberg and Janal M. Kalis, filed Aug. 1, 2007 which is incorporated herein by reference; and is further related to U.S. patent application Ser. No. 10/710,656, entitled “Patent Mapping,” by Steven W. Lundberg, Janal M. Kalis, and Pradeep Sinha, filed Jul. 27, 2004 which is incorporated herein by reference and corresponding PCT application PCT/US2005/026768 filed Jul. 27, 2005.
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