Systems and methods for generation and use of document analysis platform architectures are disclosed. The document analysis platform may be configured to determine word frequencies for words included in a given portion of a given document based on a frequency of occurrences of the words in additional documents that are similar to the given document. The document analysis platform may utilize one or more formulas to determine word weights for the words based on the frequencies. The document analysis platform may then determine one or more scores (e.g., word scores, breadth scores, document scores, etc.) by assigning the word weights to the words. The document analysis platform may also determine a likelihood of infringement of a given document in a district court action. The document analysis platform may utilize machine-learned (ML) models and/or generative artificial intelligence (AI) to determine similarities, word weights, and/or likelihoods of infringement.
Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A value modeling component may be utilized to generate financial metrics for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or target entity portfolios. The value modeling component may be further utilized to produce an interactive graphical element including a spatial representation of the financial metrics associated with the IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The value modeling component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.
Systems and methods for intellectual property model parameter training and utilization are disclosed. For example, intellectual property assets are analyzed quickly and based on parsed data from multiple disparate datasets to generate quality scores. The quality scores are then utilized for multiple purposes, including determining financing amount indications, insurability indications, feedback loops, benchmarking, entity rating, and other purposes.
36 - Financial, insurance and real estate services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Business research services, namely, providing analysis of financial and intellectual property data; business data analysis services in the field of finance and intellectual property; collection and analysis of quality metric data for finance and intellectual property for business purposes; analyzing and compiling business data; business data analytics services, namely, data compiling, analyzing, and assessing financial risk and opportunities of third-party organizations; Business services, namely information and data compiling for others Financial data analysis; financial data analysis, namely, intellectual property data analysis for financial purposes; financial analysis services, namely, technical analysis services in relation to intellectual property asset classification, assessment, development, valuation, and strategy for purposes of assessing financial risk and opportunities of third-party organizations; financial research services relating to intellectual property asset classification and valuation for purposes of determining organizational financial performance and value Providing temporary use of non-downloadable computer software for data analytics, applied analytics, compiling and analyzing data for data modeling and predictive analysis of intellectual property and intellectual property assets; Providing temporary use of non-downloadable computer software for data analytics, applied analytics, compiling and analyzing data for data modeling and predictive analysis of organizational performance and value; Providing temporary use of non-downloadable computer software for analyzing market and financial information of organizations; Providing temporary use of non-downloadable computer software for analyzing product and services information and its relationship with intellectual property assets and organization value and performance; Providing temporary use of non-downloadable computer software that uses data analytics, natural language processing, machine learning, and artificial intelligence for business intelligence based upon the review, assessment, development, and valuation of intellectual property assets alone and in combination with market, financial, technology, product and services information, including intelligence relative to financial and insurance markets and products and services; Providing temporary use of non-downloadable computer software for data modeling and analysis of intellectual property assets, business intelligence, natural language processing, artificial intelligence and machine learning services for valuation purposes
36 - Financial, insurance and real estate services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Business research services, namely, providing analysis of financial and intellectual property data; business data analysis services in the field of finance and intellectual property; collection and analysis of quality metric data for finance and intellectual property for business purposes; analyzing and compiling business data; business data analytics services, namely, data compiling, analyzing, and assessing financial risk and opportunities of third-party organizations; Business services, namely information and data compiling for others Financial data analysis; financial data analysis, namely, intellectual property data analysis for financial purposes; financial analysis services, namely, technical analysis services in relation to intellectual property asset classification, assessment, development, valuation, and strategy for purposes of assessing financial risk and opportunities of third-party organizations; financial research services relating to intellectual property asset classification and valuation for purposes of determining organizational financial performance and value Providing temporary use of non-downloadable computer software for data analytics, applied analytics, compiling and analyzing data for data modeling and predictive analysis of intellectual property and intellectual property assets; Providing temporary use of non-downloadable computer software for data analytics, applied analytics, compiling and analyzing data for data modeling and predictive analysis of organizational performance and value; Providing temporary use of non-downloadable computer software for analyzing market and financial information of organizations; Providing temporary use of non-downloadable computer software for analyzing product and services information and its relationship with intellectual property assets and organization value and performance; Providing temporary use of non-downloadable computer software that uses data analytics, natural language processing, machine learning, and artificial intelligence for business intelligence based upon the review, assessment, development, and valuation of intellectual property assets alone and in combination with market, financial, technology, product and services information, including intelligence relative to financial and insurance markets and products and services; Providing temporary use of non-downloadable computer software for data modeling and analysis of intellectual property assets, business intelligence, natural language processing, artificial intelligence and machine learning services for valuation purposes
Systems and methods for generation and use of vendor management platform architectures are disclosed. A compliance component may be utilized to receive user input data indicating supply contracts between a client and a vendor. The user input data may be utilized to determine insurable obligations associated with the supply contract and provide indications as to whether or not the vendor is compliant with the insurable obligation required by the supply contract. An exposure assessment component may be utilized to determine an exposure score associated with a client account and/or a vendor account based on various compliance factors, spending amounts, and/or properties associated with at least one of goods and/or services that a vendor will supply to a client.
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
Systems and methods for an asset contract management system that, among other things, enables generation of contracts to be associated with transactions, verifies users involved in transaction, hashes identification information associated with transaction, stores data associated with a transaction, and utilizes data generated by and/or available to the system to increase functionality associated with the transaction. In some cases, services provided by the management system may be facilitated via an application programming interface (API) made available to users of the management system (e.g., purchasers, marketplace operators, creators, etc.).
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
8.
Systems for generation of liability protection policies
Systems and methods for intellectual property (IP) asset protection are disclosed. For example, by analyzing characteristic information associated with a user, along with feedback from one or more potential insurers, the system may determine various terms of an insurance policy for protecting the user against claims of IP infringement. The policy may provide for financial reimbursement for costs incurred while taking active measures to mitigate losses and/or defend against such claims. In addition, the system may analyze the characteristic information to identify various users having a low exposure of an infringement claim being asserted. The identified users may be actively targeted to acquire an IP protection policy.
Systems and methods for document analysis using model intersections are disclosed. Predictive models are built and trained to predict whether a given document is in class with respect to a given model. Each predictive model may be associated with a subcategory of an identified technology. Documents that are determined to be in class by multiple ones of the predictive models may be identified and grouped into subsets. These subsets of documents may be identified as relevant to the technology in question.
Systems may perform analyses of claims included in a patent document. The systems may generate one or more search strings from the patent document and provide the one or more search strings to a third-party searching authority. The third-party searching authority may return a collection of documents responsive to the one or more search strings. In particular situations, the systems may re-rank the documents of the collection to provide a patent centric ranking. The systems may also analyze the documents of the collection with respect to the elements of the claims to generate various types of patent infringement and/or invalidity reports.
Techniques described herein are directed to analyzing intellectual-property data according to provide various intellectual property related services to organizations. In particular implementations, information related to products and/or services may be obtained from a number of data sources. Additionally, information related to intellectual-property assets, such as patents, trademarks, copyrights, trade secrets, and know-how, may be obtained. In various situations, the intellectual-property assets may be mapped to respective products and/or services. The mappings between the products and/or services and intellectual-property assets may be used to provide intellectual property related services that correspond to the intellectual-property assets, such as valuation services, strategy-related services, or risk-related services.
Systems and methods for digital property protection are disclosed. For example, indication may be received that an entity has applied for an insurance policy to insure against theft of digital property. The digital property may be registered and a valuation of the digital property may be generated. Due diligence processes may be performed, including assessment of physical and/or network security mechanisms to prevent theft of the digital property. A recommendation to issue the insurance policy may be generated and sent in examples where the due diligence processes return favorable results. Terms generation and/or identification may be performed, and claims processing based at least in part on loss matrixes may also be performed.
Systems and methods for intellectual property (IP) asset protection are disclosed. For example, by analyzing characteristic information associated with a user, along with feedback from one or more potential insurers, the system may determine various terms of an insurance policy for protecting the user against claims of IP infringement. The policy may provide for financial reimbursement for costs incurred while taking active measures to mitigate losses and/or defend against such claims. In addition, the system may analyze the characteristic information to identify various users having a low exposure of an infringement claim being asserted. The identified users may be actively targeted to acquire an IP protection policy.
Systems and methods for generation and use of intellectual-property (IP) landscaping platform architectures are disclosed. A landscaping component may be utilized to produce refined clusters of IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The landscaping component may be further utilized to produce an interactive graphical element including a spatial representation of the clusters of IP assets. The interactive graphical element may include various functionalities and/or information associated with the clusters of IP assets. An exposure assessment component may be utilized to assess the level of exposure associated with a targeted entity by analyzing a mapping between IP assets and allocated funds of the targeted entity, generate a score representing the level of exposure, make determinations as to insurance offerings and/or alter rates associated with the insurance offerings.
G06F 3/04845 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
G06F 3/04847 - Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
G06F 9/451 - Execution arrangements for user interfaces
G06F 16/28 - Databases characterised by their database models, e.g. relational or object models
Systems and methods for digital property authentication and management are disclosed. A document representing a trade secret may be requested to be registered with a trade secret registry. A document obfuscation value corresponding to the document may be generated and may be registered with a blockchain. A record of the registration may be generated for the trade secret registry. The registry may be searchable and/or offer functionality such as valuation, insurance provision, and/or verification, among other benefits and functionalities.
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
H04L 9/00 - Arrangements for secret or secure communicationsNetwork security protocols
Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.
Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.
Systems and methods for dataset distinctiveness modeling are disclosed. For example, databases may be queried for datasets associated with intellectual property assets, particularly trademarks. A vector representation may be generated for the mark in question, and a vector representation may be generated for the description of goods and/or services associated with the mark. A machine learning model may be trained to predict a distinctiveness score based on the vector representations, similarity metrics between the trademark and other marks, goods and services of the other marks, and context data associated with the trademarks.
Systems and methods for dataset distinctiveness modeling are disclosed. For example, databases may be queried for datasets associated with intellectual property assets, particularly trademarks. A vector representation may be generated for the mark in question, and a vector representation may be generated for the description of goods and/or services associated with the mark. A machine learning model may be trained to predict a distinctiveness score based on the vector representations, similarity metrics between the trademark and other marks, goods and services of the other marks, and context data associated with the trademarks.
Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A value modeling component may be utilized to generate financial metrics for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or target entity portfolios. The value modeling component may be further utilized to produce an interactive graphical element including a spatial representation of the financial metrics associated with the IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The value modeling component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.
Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.
G06F 40/284 - Lexical analysis, e.g. tokenisation or collocates
G06V 30/416 - Extracting the logical structure, e.g. chapters, sections or page numbersIdentifying elements of the document, e.g. authors
G06F 18/214 - Generating training patternsBootstrap methods, e.g. bagging or boosting
G06F 18/2413 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
22.
Aggregating procedures for automatic document analysis
This disclosure describes, in part, techniques for performing automatic document analysis. For instance, one or more computing devices may obtain a plurality of documents for analysis. The one or more computing devices may then analyze the documents to determine a respective comparative breadth score representing a breadth of each document, a respective comparative portion count score representing a number of documents portions included in each document, and a respective comparative differentiation score representing differentiation between the documents portions included in each document. In some instances, the one or more computing devices determine each of the scores based on comparing the respective breadth, respective number of document portions, and respective differentiation for each of the documents under analysis. The one or more computing devices can then determine a comprehensive score for each document using the respective scores, and generate a user interface that includes the overall scores.
Systems and methods for automated digital-property analysis are disclosed. A document representing a digital property may be received and the document, or key elements and/or language characterizations representing the document, may be utilized to search one or more databases for similar documents. The search results may be ranked and displayed for review. If an indication that the search results do not correspond to the document is received, that indication may be utilized to promote registration of the document with a trade-secret registry, for provision of insurance policies, etc. Scheduled auditing may be established and utilized to confirm the digital property has not be disclosed and/or to determine a potential misappropriation event.
G06Q 40/00 - FinanceInsuranceTax strategiesProcessing of corporate or income taxes
G06Q 40/04 - Trading Exchange, e.g. stocks, commodities, derivatives or currency exchange
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database systemDistributed database system architectures therefor
24.
Systems for generation of liability protection policies
Systems and methods for intellectual property (IP) asset protection are disclosed. For example, by analyzing characteristic information associated with a user, along with feedback from one or more potential insurers, the system may determine various terms of an insurance policy for protecting the user against claims of IP infringement. The policy may provide for financial reimbursement for costs incurred while taking active measures to mitigate losses and/or defend against such claims. In addition, the system may analyze the characteristic information to identify various users having a low exposure of an infringement claim being asserted. The identified users may be actively targeted to acquire an IP protection policy.
Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A scoring component may be utilized to produce scores for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The scoring component may be further utilized to produce an interactive graphical element including a spatial representation of the scoring of IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The scoring component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.
Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A scoring component may be utilized to produce scores for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The scoring component may be further utilized to produce an interactive graphical element including a spatial representation of the scoring of IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The scoring component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.
Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A scoring component may be utilized to produce scores for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The scoring component may be further utilized to produce an interactive graphical element including a spatial representation of the scoring of IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The scoring component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.
Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A scoring component may be utilized to produce scores for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The scoring component may be further utilized to produce an interactive graphical element including a spatial representation of the scoring of IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The scoring component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.
Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A scoring component may be utilized to produce scores for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The scoring component may be further utilized to produce an interactive graphical element including a spatial representation of the scoring of IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The scoring component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.
Systems and methods for model-based analysis of intellectual property (IP) collateral are disclosed. For example, IP asset data is analyzed utilizing various predictive models to generate IP assessment data and IP valuation data. This data is then utilized to facilitate the issuance of a loan that is secured utilizing the IP assets as collateral and where an insurance policy is issued to insure the lender against default by the borrower/owner of the IP assets.
Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.
Systems and methods for digital property collateral protection are disclosed. For example, a pre-underwriting analysis may be performed to ascertain the quality of a given borrower and the intellectual property associated with the borrower. If the borrower passes the pre-underwriting analysis, an underwriting analysis including an intellectual property valuation may be performed. If the borrower passes the underwriting analysis and the terms of a loan and insurance policy are otherwise agreed upon, a lender may issue a loan to the borrower with the intellectual property as collateral, and an insurer may issue an insurance policy to the lender to insure against covered events.
Manual human processing of documents often generates results that are subjective and include human-error. The cost and relatively slow speed of manual, human analysis makes it effectively impossible or impracticable to perform document analysis at the scale, speed, and cost desired in many industries. Accordingly, it may be advantageous to employ objective, accurate rule-based techniques to evaluate and process documents. This application discloses data processing equipment and methods specially adapted for a specific application: analysis of the breadth of documents. The processing may include context-dependent pre-processing of documents and sub-portions of the documents. The sub-portions may be analyzed based on word count and commonality of words in the respective sub-portions. The equipment and methods disclosed herein improve upon other automated techniques to provide document processing by achieving a result that quantitatively improves upon manual, human processing.
Systems and methods for document analysis using model intersections are disclosed. Predictive models are built and trained to predict whether a given document is in class with respect to a given model. Each predictive model may be associated with a subcategory of an identified technology. Documents that are determined to be in class by multiple ones of the predictive models may be identified and grouped into subsets. These subsets of documents may be identified as relevant to the technology in question.
Automatic processing of documents often generates results far different from those obtained by manual human processing. For a given document processing task, many different techniques can be tried but it is often not known which will best emulate manual, human processing. This application discloses data processing equipment and methods specially adapted for a specific application: analysis of the breadth of documents. The processing may include context-dependent pre-processing of documents and sub-portions of the documents. The sub-portions may be analyzed based on word count and commonality of words in the respective sub-portions. The equipment and methods disclosed herein improve upon other automated techniques to provide document processing by achieving a result that is quantitatively closer to manual, human processing.
Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.
Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.
Systems may perform analyses of claims included in a patent document. The systems may generate one or more search strings from the patent document and provide the one or more search strings to a third-party searching authority. The third-party searching authority may return a collection of documents responsive to the one or more search strings. In particular situations, the systems may re-rank the documents of the collection to provide a patent centric ranking. The systems may also analyze the documents of the collection with respect to the elements of the claims to generate various types of patent infringement and/or invalidity reports.
Systems may evaluate a claim or patent with respect to a related set of claims or patent documents. The systems may perform linguistic analyses of claims included in the patent and the related set of patent documents. Based on the linguistic analyses, the systems may identify claim limitations, and/or claim elements. The systems may generate a claim profile for each claim being evaluated. The claim profile may include ratings or scores for various metrics related to the claims being evaluated. The systems may also generate a peer group profile that provides an overall measure of metrics for claims included in a peer group of patent documents.
Systems and methods for digital property authentication and management are disclosed. A document representing a trade secret may be requested to be registered with a trade secret registry. A document obfuscation value corresponding to the document may be generated and may be registered with a blockchain. A record of the registration may be generated for the trade secret registry. The registry may be searchable and/or offer functionality such as valuation, insurance provision, and/or verification, among other benefits and functionalities.
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
Techniques described herein are directed to analyzing intellectual-property data according to provide various intellectual property related services to organizations. In particular implementations, information related to products and/or services may be obtained from a number of data sources. Additionally, information related to intellectual-property assets, such as patents, trademarks, copyrights, trade secrets, and know-how, may be obtained. In various situations, the intellectual-property assets may be mapped to respective products and/or services. The mappings between the products and/or services and intellectual-property assets may be used to provide intellectual property related services that correspond to the intellectual-property assets, such as valuation services, strategy-related services, or risk-related services.
Systems and methods for generation and use of intellectual-property (IP) landscaping platform architectures are disclosed. A landscaping component may be utilized to produce refined clusters of IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The landscaping component may be further utilized to produce an interactive graphical element including a spatial representation of the clusters of IP assets. The interactive graphical element may include various functionalities and/or information associated with the clusters of IP assets. An exposure assessment component may be utilized to assess the level of exposure associated with a targeted entity by analyzing a mapping between IP assets and allocated funds of the targeted entity, generate a score representing the level of exposure, make determinations as to insurance offerings and/or alter rates associated with the insurance offerings.
Systems and methods for generation and use of intellectual-property (IP) landscaping platform architectures are disclosed. A landscaping component may be utilized to produce refined clusters of IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The landscaping component may be further utilized to produce an interactive graphical element including a spatial representation of the clusters of IP assets. The interactive graphical element may include various functionalities and/or information associated with the clusters of IP assets. An exposure assessment component may be utilized to assess the level of exposure associated with a targeted entity by analyzing a mapping between IP assets and allocated funds of the targeted entity, generate a score representing the level of exposure, make determinations as to insurance offerings and/or alter rates associated with the insurance offerings.
Systems and methods for generation and use of intellectual-property (IP) landscaping platform architectures are disclosed. A landscaping component may be utilized to produce refined clusters of IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The landscaping component may be further utilized to produce an interactive graphical element including a spatial representation of the clusters of IP assets. The interactive graphical element may include various functionalities and/or information associated with the clusters of IP assets. An exposure assessment component may be utilized to assess the level of exposure associated with a targeted entity by analyzing a mapping between IP assets and allocated funds of the targeted entity, generate a score representing the level of exposure, make determinations as to insurance offerings and/or alter rates associated with the insurance offerings.
G06F 3/04845 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
Systems and methods for generation and use of intellectual-property (IP) landscaping platform architectures are disclosed. A landscaping component may be utilized to produce refined clusters of IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The landscaping component may be further utilized to produce an interactive graphical element including a spatial representation of the clusters of IP assets. The interactive graphical element may include various functionalities and/or information associated with the clusters of IP assets. An exposure assessment component may be utilized to assess the level of exposure associated with a targeted entity by analyzing a mapping between IP assets and allocated funds of the targeted entity, generate a score representing the level of exposure, make determinations as to insurance offerings and/or alter rates associated with the insurance offerings.
Manual human processing of documents often generates results that are subjective and include human-error. The cost and relatively slow speed of manual, human analysis makes it effectively impossible or impracticable to perform document analysis at the scale, speed, and cost desired in many industries. Accordingly, it may be advantageous to employ objective, accurate rule-based techniques to evaluate and process documents. This application discloses data processing equipment and methods specially adapted for a specific application: analysis of the breadth of documents. The processing may include context-dependent pre-processing of documents and sub-portions of the documents. The sub-portions may be analyzed based on word count and commonality of words in the respective sub-portions. The equipment and methods disclosed herein improve upon other automated techniques to provide document processing by achieving a result that quantitatively improves upon manual, human processing.
Systems and methods for generation and use of vendor management platform architectures are disclosed. A compliance component may be utilized to receive user input data indicating supply contracts between a client and a vendor. The user input data may be utilized to determine insurable obligations associated with the supply contract and provide indications as to whether or not the vendor is compliant with the insurable obligation required by the supply contract. An exposure assessment component may be utilized to determine an exposure score associated with a client account and/or a vendor account based on various compliance factors, spending amounts, and/or properties associated with at least one of goods and/or services that a vendor will supply to a client.
G06Q 50/00 - Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
Systems and methods for generation and use of vendor management platform architectures are disclosed. A compliance component may be utilized to receive user input data indicating supply contracts between a client and a vendor. The user input data may be utilized to determine insurable obligations associated with the supply contract and provide indications as to whether or not the vendor is compliant with the insurable obligation required by the supply contract. An exposure assessment component may be utilized to determine an exposure score associated with a client account and/or a vendor account based on various compliance factors, spending amounts, and/or properties associated with at least one of goods and/or services that a vendor will supply to a client.
Systems and methods for generation and use of vendor management platform architectures are disclosed. A compliance component may be utilized to receive user input data indicating supply contracts between a client and a vendor. The user input data may be utilized to determine insurable obligations associated with the supply contract and provide indications as to whether or not the vendor is compliant with the insurable obligation required by the supply contract. An exposure assessment component may be utilized to determine an exposure score associated with a client account and/or a vendor account based on various compliance factors, spending amounts, and/or properties associated with at least one of goods and/or services that a vendor will supply to a client.
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
Systems and methods for generation and use of vendor management platform architectures are disclosed. A compliance component may be utilized to receive user input data indicating supply contracts between a client and a vendor. The user input data may be utilized to determine insurable obligations associated with the supply contract and provide indications as to whether or not the vendor is compliant with the insurable obligation required by the supply contract. An exposure assessment component may be utilized to determine an exposure score associated with a client account and/or a vendor account based on various compliance factors, spending amounts, and/or properties associated with at least one of goods and/or services that a vendor will supply to a client.
Systems and methods for entity prioritization and analysis are disclosed. For example, entity data may be received and utilized by one or more predictive models to generate entity ratings associated with a likelihood that the entities will be involved in defending an intellectual-property claim and a severity of loss associated with defending such a claim. A ranking of entities may also be generated indicating which entities are most likely to acquire an insurance policy insuring against an intellectual-property claim.
Techniques described herein are directed to analyzing intangible assets according to various frameworks. In particular implementations, an intangible assets evaluation service may obtain intellectual property data from a number of different sources and analyze the intellectual property data according to one or more frameworks. The intangible assets evaluation service may perform a qualitative analysis of intellectual property data. The qualitative analysis may be performed with respect to intellectual property data of an organization relative to intellectual property data for a number of other organizations. The intangible assets evaluation service may also perform a quantitative analysis of intellectual property data to determine a monetary valuation for a portfolio of intellectual property assets.
Techniques described herein are directed to analyzing intellectual-property data according to provide various intellectual property related services to organizations. In particular implementations, information related to products and/or services may be obtained from a number of data sources. Additionally, information related to intellectual-property assets, such as patents, trademarks, copyrights, trade secrets, and know-how, may be obtained. In various situations, the intellectual-property assets may be mapped to respective products and/or services. The mappings between the products and/or services and intellectual-property assets may be used to provide intellectual property related services that correspond to the intellectual-property assets, such as valuation services, strategy-related services, or risk-related services.
Techniques described herein are directed to analyzing intellectual-property data according to provide various intellectual property related services to organizations. In particular implementations, information related to products and/or services may be obtained from a number of data sources. Additionally, information related to intellectual-property assets, such as patents, trademarks, copyrights, trade secrets, and know-how, may be obtained. In various situations, the intellectual-property assets may be mapped to respective products and/or services. The mappings between the products and/or services and intellectual-property assets may be used to provide intellectual property related services that correspond to the intellectual-property assets, such as valuation services, strategy-related services, or risk-related services.
Techniques described herein are directed to analyzing intellectual-property data according to provide various intellectual property related services to organizations. In particular implementations, information related to products and/or services may be obtained from a number of data sources. Additionally, information related to intellectual-property assets, such as patents, trademarks, copyrights, trade secrets, and know-how, may be obtained. In various situations, the intellectual-property assets may be mapped to respective products and/or services. The mappings between the products and/or services and intellectual-property assets may be used to provide intellectual property related services that correspond to the intellectual-property assets, such as valuation services, strategy-related services, or risk-related services.
Techniques described herein are directed to analyzing intellectual-property data according to provide various intellectual property related services to organizations. In particular implementations, information related to products and/or services may be obtained from a number of data sources. Additionally, information related to intellectual-property assets, such as patents, trademarks, copyrights, trade secrets, and know-how, may be obtained. In various situations, the intellectual-property assets may be mapped to respective products and/or services. The mappings between the products and/or services and intellectual-property assets may be used to provide intellectual property related services that correspond to the intellectual-property assets, such as valuation services, strategy-related services, or risk-related services.
Techniques described herein are directed to analyzing intellectual-property data according to provide various intellectual property related services to organizations. In particular implementations, information related to products and/or services may be obtained from a number of data sources. Additionally, information related to intellectual-property assets, such as patents, trademarks, copyrights, trade secrets, and know-how, may be obtained. In various situations, the intellectual-property assets may be mapped to respective products and/or services. The mappings between the products and/or services and intellectual-property assets may be used to provide intellectual property related services that correspond to the intellectual-property assets, such as valuation services, strategy-related services, or risk-related services.
Systems and methods for intellectual property (IP) asset protection are disclosed. For example, by analyzing characteristic information associated with a user, along with feedback from one or more potential insurers, the system may determine various terms of an insurance policy for protecting the user against claims of IP infringement. The policy may provide for financial reimbursement for costs incurred while taking active measures to mitigate losses and/or defend against such claims. In addition, the system may analyze the characteristic information to identify various users having a low exposure of an infringement claim being asserted. The identified users may be actively targeted to acquire an IP protection policy.
Systems and methods for digital property authentication and management are disclosed. A document representing a trade secret may be requested to be registered with a trade secret registry. A document obfuscation value corresponding to the document may be generated and may be registered with a blockchain. A record of the registration may be generated for the trade secret registry. The registry may be searchable and/or offer functionality such as valuation, insurance provision, and/or verification, among other benefits and functionalities.
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
H04L 9/00 - Arrangements for secret or secure communicationsNetwork security protocols
60.
Digital Property Authentication and Management System
Systems and methods for digital property authentication and management are disclosed. A document representing a trade secret may be requested to be registered with a trade secret registry. A document obfuscation value corresponding to the document may be generated and may be registered with a blockchain. A record of the registration may be generated for the trade secret registry. The registry may be searchable and/or offer functionality such as valuation, insurance provision, and/or verification, among other benefits and functionalities.
H04L 29/06 - Communication control; Communication processing characterised by a protocol
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
61.
Digital Property Authentication and Management System
Systems and methods for digital property authentication and management are disclosed. A document representing a trade secret may be requested to be registered with a trade secret registry. A document obfuscation value corresponding to the document may be generated and may be registered with a blockchain. A record of the registration may be generated for the trade secret registry. The registry may be searchable and/or offer functionality such as valuation, insurance provision, and/or verification, among other benefits and functionalities.
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
62.
Digital Property Authentication and Management System
Systems and methods for digital property authentication and management are disclosed. A document representing a trade secret may be requested to be registered with a trade secret registry. A document obfuscation value corresponding to the document may be generated and may be registered with a blockchain. A record of the registration may be generated for the trade secret registry. The registry may be searchable and/or offer functionality such as valuation, insurance provision, and/or verification, among other benefits and functionalities.
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
Systems and methods for digital property authentication and management are disclosed. A document representing a trade secret may be requested to be registered with a trade secret registry. A document obfuscation value corresponding to the document may be generated and may be registered with a blockchain. A record of the registration may be generated for the trade secret registry. The registry may be searchable and/or offer functionality such as valuation, insurance provision, and/or verification, among other benefits and functionalities.
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
Automatic processing of documents often generates results far different from those obtained by manual human processing. For a given document processing task, many different techniques can be tried but it is often not known which will best emulate manual, human processing. This application discloses data processing equipment and methods specially adapted for a specific application: analysis of the breadth of documents. The processing may include context-dependent pre-processing of documents and sub-portions of the documents. The sub-portions may be analyzed based on word count and commonality of words in the respective sub-portions. The equipment and methods disclosed herein improve upon other automated techniques to provide document processing by achieving a result that is quantitatively closer to manual, human processing.
36 - Financial, insurance and real estate services
45 - Legal and security services; personal services for individuals.
Goods & Services
Broking services, namely, insurance brokerage related to insurance underwriting and claims; research services relating to intellectual property asset classification and valuation, for purposes of assessing financial risk for others; Technical analysis services in relation to intellectual property asset classification, assessment, development, valuation, and strategy for purposes of assessing financial risk for others; Research services relating to intellectual property asset classification and valuation, for purposes of insurance services brokerage; Technical analysis services in relation to intellectual property asset classification, assessment, development, valuation, and strategy for purposes of insurance services brokerage Investigation services related to insurance underwriting and claims; Intellectual property investigations, namely, investigating the unauthorized use of an owner's intellectual property, the use of an owner's intellectual property as collateral for a loan, and the risk that an owner's products and services might infringe third-party intellectual property rights; Intellectual property consulting, namely, providing advice on intellectual property strategy; Intellectual property consulting, namely, providing advice on intellectual property asset development, value enhancement, value articulation, and value realization; Intellectual property consulting, namely, providing advice on product and service intellectual property risk and intellectual property asset risk; Intellectual property consulting, namely, providing advice on intellectual property valuation including intellectual property asset valuation
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing temporary use of non-downloadable computer software for data analytics, applied analytics, compiling and analyzing data for data modeling and predictive analysis of intellectual property assets and intellectual property classifications; Providing temporary use of non-downloadable computer software for analyzing market and financial information as it pertains to intellectual property assets and intellectual property classifications; Providing temporary use of non-downloadable computer software for analyzing product and services information as it pertains to intellectual property assets and intellectual property classifications; Providing temporary use of non-downloadable computer software that uses data analytics, natural language processing, machine learning, and artificial intelligence for business intelligence based upon the review, assessment, development, and valuation of intellectual property assets alone and in combination with market, financial, technology, product and services information, including intelligence relative to financial and insurance markets and products and services; Providing temporary use of non-downloadable computer software for collecting and aggregating data and information in the fields of intellectual property and insurance for the purpose of providing intellectual property consulting, namely, providing for information on intellectual property strategy, intellectual property asset risks, and intellectual property valuation; Providing temporary use of non-downloadable computer software for data modeling and analysis of intellectual property assets, business intelligence, natural language processing, artificial intelligence and machine learning services for valuation purposes
36 - Financial, insurance and real estate services
45 - Legal and security services; personal services for individuals.
Goods & Services
Broking services, namely, insurance brokerage related to insurance underwriting and claims; Research services relating to intellectual property asset classification and valuation, for purposes of assessing financial risk for others; Technical analysis services in relation to intellectual property asset classification, assessment, development, valuation, and strategy for purposes of assessing financial risk for others; Research services relating to intellectual property asset classification and valuation, for purposes of insurance services brokerage; Technical analysis services in relation to intellectual property asset classification, assessment, development, valuation, and strategy for purposes of insurance services brokerage Investigation services related to insurance underwriting and claims; Intellectual property investigations, namely, investigating the unauthorized use of an owner's intellectual property, the use of an owner's intellectual property as collateral for a loan, and the risk that an owner's products and services might infringe third-party intellectual property rights; Intellectual property consulting, namely, providing advice on intellectual property strategy; Intellectual property consulting, namely, providing advice on intellectual property asset development, value enhancement, value articulation, and value realization; Intellectual property consulting, namely, providing advice on product and service intellectual property risk and intellectual property asset risk; Intellectual property consulting, namely, providing advice on intellectual property valuation including intellectual property asset valuation
Automatic processing of documents often generates results far different from those obtained by manual human processing. For a given document processing task, many different techniques can be tried but it is often not known which will best emulate manual, human processing. This application discloses data processing equipment and methods specially adapted for a specific application: analysis of the breadth of documents. The processing may include context-dependent pre-processing of documents and sub-portions of the documents. The sub-portions may be analyzed based on word count and commonality of words in the respective sub-portions. Preambles may be identified and analyzed. The equipment and methods disclosed herein improve upon other automated techniques to provide document processing by achieving a result that is quantitatively closer to manual, human processing.
Manual human processing of documents often generates results that are subjective and include human-error. The cost and relatively slow speed of manual, human analysis makes it effectively impossible or impracticable to perform document analysis at the scale, speed, and cost desired in many industries. Accordingly, it may be advantageous to employ objective, accurate rule-based techniques to evaluate and process documents. This application discloses data processing equipment and methods specially adapted for a specific application: analysis of the breadth of documents. The processing may include context-dependent pre-processing of documents and sub-portions of the documents. The sub-portions may be analyzed based on word count and commonality of words in the respective sub-portions. The equipment and methods disclosed herein improve upon other automated techniques to provide document processing by achieving a result that quantitatively improves upon manual, human processing.
This disclosure describes, in part, techniques for performing automatic document analysis. For instance, one or more computing devices may obtain a plurality of documents for analysis. The one or more computing devices may then analyze the documents to determine a respective comparative breadth score representing a breadth of each document, a respective comparative portion count score representing a number of documents portions included in each document, and a respective comparative differentiation score representing differentiation between the documents portions included in each document. In some instances, the one or more computing devices determine each of the scores based on comparing the respective breadth, respective number of document portions, and respective differentiation for each of the documents under analysis. The one or more computing devices can then determine a comprehensive score for each document using the respective scores, and generate a user interface that includes the overall scores.
