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 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 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.

Abstract: 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.

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 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.

Abstract: 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.

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 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.

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 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

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 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: 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.