Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: This disclosure describes, in part, techniques for performing automatic document analysis. For instance, a system may analyze documents to calculate respective coverage scores corresponding to coverage of the documents, where a respective coverage score is based on at least one of breadth of a document, portion count for the document, or differentiation between portions of the document. The system may further analyze the documents to calculate risk scores associated with risks of the documents, where a respective risk score is based on a number of other documents that predate a document. Furthermore, the system may analyze the documents to calculate market scores corresponding to market values of the documents. The system can then calculate comprehensive scores for the documents based on the coverage scores, the risk scores, and the market scores.

Abstract: 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.

Abstract: Computer processor generated analysis and presentation of patent and business data in a common interface is described. The aggregation and analysis includes a method and system for evaluating a patent or patent application and proposed claim text by examining claim related information maintained in databases as well as image related information maintained in databases. The method includes deriving unique signatures of individual claims and ascertaining scope of individual claims relative to other claims in a collection, such as claims found in a classification schema and also deriving unique characteristics from images and ascertaining the scope of similarity between the images. A signature and scope of the patent claims and images may be graphically depicted to a user using various graphic elements in a user interface.

Abstract: Techniques for aggregating patent and financial data, analyzing the data, and/or presenting the data in ways that are intuitive are described herein. In some instances, a user may employ a mobile device to provide input that identifies a company, patent document, classification, etc., and to receive a set of results screens that relate to the input. The set of results screens may include a variety of information related to patent documents.

Abstract: Aggregation, analysis, and presentation of financial and docket information in a common interface are described.

Abstract: Aggregation, analysis, and presentation of financial and docket information in a common interface are described.

Abstract: Aggregation, analysis, and presentation of patent and business data in a common interface are described. The analysis includes techniques for evaluating a patent or patent application by examining claim-related information. These techniques include deriving unique signatures of individual claims and ascertaining scope of individual claims relative to other claims in a collection (such as claims found in a common class). The signature and scope of patent claims may be graphically depicted using various graphics elements in a user interface.

Abstract: Aggregation, analysis, and presentation of patent and business data in a common interface are described. The analysis includes techniques for evaluating a patent or patent application by examining claim-related information. These techniques include deriving unique signatures of individual claims and ascertaining scope of individual claims relative to other claims in a collection (such as claims found in a common class). The signature and scope of patent claims may be graphically depicted using various graphics elements in a user interface.

Abstract: Aggregation, analysis, and presentation of patent and business data in a common interface are described. The analysis includes techniques for evaluating a patent or patent application by examining claim-related information. These techniques include deriving unique signatures of individual claims and ascertaining scope of individual claims relative to other claims in a collection (such as claims found in a common class). The signature and scope of patent claims may be graphically depicted using various graphics elements in a user interface.

Abstract: Aggregation, analysis, and presentation of financial and docket information in a common interface are described.