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).
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Patent number: 12050865Abstract: 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: GrantFiled: September 25, 2023Date of Patent: July 30, 2024Assignee: 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
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Publication number: 20240012993Abstract: 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: ApplicationFiled: September 25, 2023Publication date: January 11, 2024Inventors: 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
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Patent number: 11769008Abstract: 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: GrantFiled: August 8, 2022Date of Patent: September 26, 2023Inventors: 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
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Publication number: 20230196012Abstract: 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: ApplicationFiled: August 8, 2022Publication date: June 22, 2023Inventors: 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
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Patent number: 11410448Abstract: 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: GrantFiled: November 16, 2020Date of Patent: August 9, 2022Assignee: 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
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Publication number: 20210073536Abstract: 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: ApplicationFiled: November 16, 2020Publication date: March 11, 2021Inventors: 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
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Patent number: 10839207Abstract: 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: GrantFiled: July 12, 2019Date of Patent: November 17, 2020Assignee: 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
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Publication number: 20200026916Abstract: 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: ApplicationFiled: July 12, 2019Publication date: January 23, 2020Inventors: 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