Patents by Inventor Michael E. Kiemel

Michael E. Kiemel 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).

  • Patent number: 12050865
    Abstract: Systems and methods may utilize a predictive analysis model to analyze a contract or other document. A system may parse a document and/or a repository of information associated with the document. The system may identify one or more terms in the document and corresponding terms in the repository. The system may determine a difference parameter between a first term extracted from the document and a second term extracted from the repository. The system may determine whether the difference between the first term and the second term, represented by the difference parameter, is likely to be acceptable to the user using a predictive analysis model. The system may report a validation parameter indicating a level of acceptability associated with the difference. User feedback on the accuracy of the predictive analysis model is used to train, modify, and improve the predictive analysis model.
    Type: Grant
    Filed: September 25, 2023
    Date of Patent: July 30, 2024
    Assignee: DeepSee.ai Inc.
    Inventors: Wacey T. Richards, Michael E. Kiemel, Stephen W. Shillingford, Samuel Z. Shillingford, Damon A. Darais, Joseph M. Wood, Robert D. Bailey, Matthew Valley, Stewart A. Sintay
  • Publication number: 20240012993
    Abstract: Systems and methods may utilize a predictive analysis model to analyze a contract or other document. A system may parse a document and/or a repository of information associated with the document. The system may identify one or more terms in the document and corresponding terms in the repository. The system may determine a difference parameter between a first term extracted from the document and a second term extracted from the repository. The system may determine whether the difference between the first term and the second term, represented by the difference parameter, is likely to be acceptable to the user using a predictive analysis model. The system may report a validation parameter indicating a level of acceptability associated with the difference. User feedback on the accuracy of the predictive analysis model is used to train, modify, and improve the predictive analysis model.
    Type: Application
    Filed: September 25, 2023
    Publication date: January 11, 2024
    Inventors: Wacey T. Richards, Michael E. Kiemel, Stephen W. Shillingford, Samuel Z. Shillingford, Damon A. Darais, Joseph M. Wood, Robert D. Bailey, Matthew Valley, Stewart A. Sintay
  • Patent number: 11769008
    Abstract: Systems and methods may utilize a predictive analysis model to analyze a contract or other document. A system may parse a document and/or a repository of information associated with the document. The system may identify one or more terms in the document and corresponding terms in the repository. The system may determine a difference parameter between a first term extracted from the document and a second term extracted from the repository. The system may determine whether the difference between the first term and the second term, represented by the difference parameter, is likely to be acceptable to the user using a predictive analysis model. The system may report a validation parameter indicating a level of acceptability associated with the difference. User feedback on the accuracy of the predictive analysis model is used to train, modify, and improve the predictive analysis model.
    Type: Grant
    Filed: August 8, 2022
    Date of Patent: September 26, 2023
    Inventors: Wacey T. Richards, Michael E. Kiemel, Stephen W. Shillingford, Samuel Z. Shillingford, Damon A. Darais, Joseph M. Wood, Robert D. Bailey, Matthew Valley, Stewart A. Sintay
  • Publication number: 20230196012
    Abstract: Systems and methods may utilize a predictive analysis model to analyze a contract or other document. A system may parse a document and/or a repository of information associated with the document. The system may identify one or more terms in the document and corresponding terms in the repository. The system may determine a difference parameter between a first term extracted from the document and a second term extracted from the repository. The system may determine whether the difference between the first term and the second term, represented by the difference parameter, is likely to be acceptable to the user using a predictive analysis model. The system may report a validation parameter indicating a level of acceptability associated with the difference. User feedback on the accuracy of the predictive analysis model is used to train, modify, and improve the predictive analysis model.
    Type: Application
    Filed: August 8, 2022
    Publication date: June 22, 2023
    Inventors: Wacey T. Richards, Michael E. Kiemel, Stephen W. Shillingford, Samuel Z. Shillingford, Damon A. Darais, Joseph M. Wood, Robert D. Bailey, Matthew Valley, Stewart A. Sintay
  • Patent number: 11410448
    Abstract: Systems and methods may utilize a predictive analysis model to analyze a contract or other document. A system may parse a document and/or a repository of information associated with the document. The system may identify one or more terms in the document and corresponding terms in the repository. The system may determine a difference parameter between a first term extracted from the document and a second term extracted from the repository. The system may determine whether the difference between the first term and the second term, represented by the difference parameter, is likely to be acceptable to the user using a predictive analysis model. The system may report a validation parameter indicating a level of acceptability associated with the difference. User feedback on the accuracy of the predictive analysis model is used to train, modify, and improve the predictive analysis model.
    Type: Grant
    Filed: November 16, 2020
    Date of Patent: August 9, 2022
    Assignee: DeepSee.ai Inc.
    Inventors: Wacey T. Richards, Michael E. Kiemel, Stephen W. Shillingford, Samuel Z. Shillingford, Damon A. Darais, Joseph M. Wood, Robert D. Bailey, Matthew Valley, Stewart A. Sintay
  • Publication number: 20210073536
    Abstract: Systems and methods may utilize a predictive analysis model to analyze a contract or other document. A system may parse a document and/or a repository of information associated with the document. The system may identify one or more terms in the document and corresponding terms in the repository. The system may determine a difference parameter between a first term extracted from the document and a second term extracted from the repository. The system may determine whether the difference between the first term and the second term, represented by the difference parameter, is likely to be acceptable to the user using a predictive analysis model. The system may report a validation parameter indicating a level of acceptability associated with the difference. User feedback on the accuracy of the predictive analysis model is used to train, modify, and improve the predictive analysis model.
    Type: Application
    Filed: November 16, 2020
    Publication date: March 11, 2021
    Inventors: Wacey T. Richards, Michael E. Kiemel, Stephen W. Shillingford, Samuel Z. Shillingford, Damon A. Darais, Joseph M. Wood, Robert D. Bailey, Matthew Valley, Stewart A. Sintay
  • Patent number: 10839207
    Abstract: Systems and methods may utilize a predictive analysis model to analyze a contract or other document. A system may parse a document and/or a repository of information associated with the document. The system may identify one or more terms in the document and corresponding terms in the repository. The system may determine a difference parameter between a first term extracted from the document and a second term extracted from the repository. The system may determine whether the difference between the first term and the second term, represented by the difference parameter, is likely to be acceptable to the user using a predictive analysis model. The system may report a validation parameter indicating a level of acceptability associated with the difference. User feedback on the accuracy of the predictive analysis model is used to train, modify, and improve the predictive analysis model.
    Type: Grant
    Filed: July 12, 2019
    Date of Patent: November 17, 2020
    Assignee: DeepSee.ai Inc.
    Inventors: Joseph M. Wood, Robert D. Bailey, Matthew Valley, Stewart A. Sintay, Stephen W. Shillingford, Wacey T. Richards, Damon A. Darais, Michael E. Kiemel, Samuel Z. Shillingford
  • Publication number: 20200026916
    Abstract: Systems and methods may utilize a predictive analysis model to analyze a contract or other document. A system may parse a document and/or a repository of information associated with the document. The system may identify one or more terms in the document and corresponding terms in the repository. The system may determine a difference parameter between a first term extracted from the document and a second term extracted from the repository. The system may determine whether the difference between the first term and the second term, represented by the difference parameter, is likely to be acceptable to the user using a predictive analysis model. The system may report a validation parameter indicating a level of acceptability associated with the difference. User feedback on the accuracy of the predictive analysis model is used to train, modify, and improve the predictive analysis model.
    Type: Application
    Filed: July 12, 2019
    Publication date: January 23, 2020
    Inventors: Joseph M. Wood, Robert D. Bailey, Matthew Valley, Stewart A. Sintay, Stephen W. Shillingford, Wacey T. Richards, Damon A. Darais, Michael E. Kiemel, Samuel Z. Shillingford