Patents by Inventor John E. Bradley, III
John E. Bradley, III has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11928879Abstract: 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.Type: GrantFiled: February 3, 2021Date of Patent: March 12, 2024Assignee: AON RISK SERVICES, INC. OF MARYLANDInventor: John E. Bradley, III
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Patent number: 11893505Abstract: 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.Type: GrantFiled: June 10, 2020Date of Patent: February 6, 2024Assignee: AON RISK SERVICES, INC. OF MARYLANDInventors: Samuel Cameron Fleming, David Craig Andrews, John E. Bradley, III, Scott Buzan, Jared Dirk Sol, Timothy Seegan, Joseph Henderson Ashmore, Christopher Ali Mirabzadeh
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Patent number: 11893065Abstract: 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.Type: GrantFiled: June 10, 2020Date of Patent: February 6, 2024Assignee: AON RISK SERVICES, INC. OF MARYLANDInventors: Samuel Cameron Fleming, John E. Bradley, III, Lewis C. Lee, Jared Dirk Sol, Scott Buzan, Timothy Seegan
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Publication number: 20230409647Abstract: 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.Type: ApplicationFiled: June 10, 2020Publication date: December 21, 2023Inventors: Samuel Cameron Fleming, John E. Bradley, III, Lewis C. Lee, Jared Dirk Sol, Scott Buzan, Timothy Seegan
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Patent number: 11776291Abstract: 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.Type: GrantFiled: June 10, 2020Date of Patent: October 3, 2023Assignee: AON RISK SERVICES, INC. OF MARYLANDInventors: Samuel Cameron Fleming, David Craig Andrews, John E. Bradley, III, Lewis C. Lee, Jared Dirk Sol, Timothy Seegan, Scott Buzan
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Patent number: 11734782Abstract: 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.Type: GrantFiled: February 23, 2022Date of Patent: August 22, 2023Assignee: AON RISK SERVICES, INC. OF MARYLANDInventors: William Michael Edmund, John E. Bradley, III, Daniel Crouse
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Patent number: 11676231Abstract: 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.Type: GrantFiled: January 3, 2020Date of Patent: June 13, 2023Assignee: AON RISK SERVICES, INC. OF MARYLANDInventors: Daniel Crouse, John E. Bradley, III, Lewis C. Lee
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Publication number: 20220343445Abstract: 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.Type: ApplicationFiled: February 23, 2022Publication date: October 27, 2022Inventors: William Michael Edmund, John E. Bradley, III, Daniel Crouse
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Publication number: 20220245378Abstract: 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.Type: ApplicationFiled: February 3, 2021Publication date: August 4, 2022Inventor: John E. Bradley, III
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Patent number: 11379665Abstract: 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.Type: GrantFiled: June 10, 2020Date of Patent: July 5, 2022Assignee: AON RISK SERVICES, INC. OF MARYLANDInventors: William Michael Edmund, John E. Bradley, III
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Publication number: 20220101463Abstract: 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.Type: ApplicationFiled: September 30, 2020Publication date: March 31, 2022Inventors: Michael John Tobias, John E. Bradley, III
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Publication number: 20220101464Abstract: 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.Type: ApplicationFiled: September 30, 2020Publication date: March 31, 2022Inventors: Lewis C. Lee, Michael John Tobias, Samuel Cameron Fleming, Jared Dirk Sol, Louise Janice, Luvina Bowman, Jeffrey Brendan Ryan, Scott Randolph Brewer, John E. Bradley, III
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Patent number: 11263714Abstract: 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.Type: GrantFiled: July 26, 2019Date of Patent: March 1, 2022Assignee: AON RISK SERVICES, INC. OF MARYLANDInventors: William Michael Edmund, John E. Bradley, III, Daniel Crouse
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Publication number: 20210350484Abstract: 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.Type: ApplicationFiled: October 1, 2018Publication date: November 11, 2021Inventors: Daniel Crouse, Lewis C. Lee, John E. Bradley, III
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Patent number: 10755045Abstract: 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.Type: GrantFiled: March 3, 2017Date of Patent: August 25, 2020Assignee: AON RISK SERVICES, INC. OF MARYLANDInventors: Daniel Crouse, John E. Bradley, III, Benjamin A. Keim
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Patent number: 10528609Abstract: 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.Type: GrantFiled: March 6, 2017Date of Patent: January 7, 2020Assignee: AON RISK SERVICES, INC. OF MARYLANDInventors: Daniel Crouse, John E. Bradley, III, Lewis C. Lee
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Patent number: 10366461Abstract: 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.Type: GrantFiled: March 6, 2017Date of Patent: July 30, 2019Assignee: AON RISK SERVICES, INC. OF MARYLANDInventors: William Michael Edmund, Daniel Crouse, John E. Bradley, III
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Publication number: 20180253810Abstract: 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.Type: ApplicationFiled: March 6, 2017Publication date: September 6, 2018Inventors: William Michael Edmund, Daniel Crouse, John E. Bradley, III
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Publication number: 20180253486Abstract: 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.Type: ApplicationFiled: March 6, 2017Publication date: September 6, 2018Inventors: Daniel Crouse, John E. Bradley, III, Lewis C. Lee
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Publication number: 20180253416Abstract: 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.Type: ApplicationFiled: March 3, 2017Publication date: September 6, 2018Inventors: Daniel Crouse, John E. Bradley, III, Benjamin A. Keim