The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 26, 2023

Filed:

Aug. 08, 2022
Applicant:

Deepsee.ai Inc., Draper, UT (US);

Inventors:

Wacey T. Richards, Midway, UT (US);

Michael E. Kiemel, Lehi, UT (US);

Stephen W. Shillingford, Salt Lake City, UT (US);

Samuel Z. Shillingford, Salt Lake City, UT (US);

Damon A. Darais, Pleasant Grove, UT (US);

Joseph M. Wood, Broadlands, VA (US);

Robert D. Bailey, Saratoga Springs, UT (US);

Matthew Valley, American Fork, UT (US);

Stewart A. Sintay, Lehi, UT (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06F 40/205 (2020.01); G06N 20/00 (2019.01); G06V 30/416 (2022.01); G06V 30/414 (2022.01); G06F 18/21 (2023.01);
U.S. Cl.
CPC ...
G06F 40/205 (2020.01); G06F 18/2178 (2023.01); G06N 20/00 (2019.01); G06V 30/414 (2022.01); G06V 30/416 (2022.01);
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.


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