Invention Grant
- Patent Title: Predictive analysis systems and methods using machine learning
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Application No.: US17099566Application Date: 2020-11-16
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Publication No.: US11410448B2Publication Date: 2022-08-09
- Inventor: 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
- Applicant: DeepSee.ai Inc.
- Applicant Address: US UT Salt Lake City
- Assignee: DeepSee.ai Inc.
- Current Assignee: DeepSee.ai Inc.
- Current Assignee Address: US UT Salt Lake City
- Agency: Phillips Winchester
- Agent Justin K. Flanagan
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06V30/416 ; G06N20/00 ; G06K9/62 ; G06F40/205 ; G06V30/414

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.
Public/Granted literature
- US20210073536A1 PREDICTIVE ANALYSIS SYSTEMS AND METHODS USING MACHINE LEARNING Public/Granted day:2021-03-11
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