Aon Risk Services, Inc. of Maryland

IP Street, Inc.

Other

Rowan Tels Corp.

Lewis C Lee

Samuel Cameron Fleming

Daniel Crouse

David Craig Andrews

John E Bradley, Iii

Louise Janice Luvina Bowman

Jared Dirk Sol

David Christopher Ledgerwood

Jesus Gonzalez

Nicholas Joseph Chmielewski

Timothy Seegan

Michael John Tobias

Scott Buzan

Derek Charles Lietz

Jeffrey Brendan Ryan

Brian J Pangrle

Scott Randolph Brewer

Daniel L Hayes

Samuel John Desmond

Lewis Brendan Lee

T Lester Wallace

Carl Reed Jessen

Michael Howard Ebinger

Ryan Glenn Roemer

Chad Eberle

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.

Intellectual-property landscaping platform

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.

Vendor management platform

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.

Analysis of intellectual-property data in relation to products and services

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.

Linguistic analysis of seed documents and peer groups

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.

Document analysis architecture

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 for generation of liability protection policies

Intellectual-property landscaping platform with interactive graphical element

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.

Digital property authentication and management system

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.

Aggregating procedures for automatic document analysis

Growing community of inventors

Spokane, WA, United States of America

Lewis C Lee