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:
Jul. 14, 2026

Filed:

May. 30, 2024
Applicant:

Docusign, Inc., San Francisco, CA (US);

Inventors:

Hiral Shah, Palo Alto, CA (US);

Shaheen Umer, Menlo Park, CA (US);

Ramachandra Kota, Kirkland, WA (US);

Shubham Gupta, Sunnyvale, CA (US);

Dipam Haresh Vasani, San Francisco, CA (US);

Shreeya Singh Dhakal, Bothell, WA (US);

Cong Minh Phan, Renton, WA (US);

Ashwath Saran Mohan, San Ramon, CA (US);

Joshua Katowitz, San Diego, CA (US);

Anthony Shalagin, Jersey City, NJ (US);

Celine Beck, Montreal, CA;

Jennifer Park, New York, NY (US);

Assignee:

Docusign, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/30 (2019.01); G06F 16/334 (2025.01); G06F 16/338 (2019.01); G06F 30/27 (2020.01); G06F 40/166 (2020.01); G06Q 50/18 (2012.01); G06F 16/16 (2019.01);
U.S. Cl.
CPC ...
G06F 16/338 (2019.01); G06F 16/3344 (2019.01); G06F 30/27 (2020.01); G06F 40/166 (2020.01); G06Q 50/18 (2013.01); G06F 16/168 (2019.01);
Abstract

A method, a system, and a computer program product for determining renewal of agreement documents. A first machine learning model is used to generate one or more portions of a document. Each portion of the document is associated with a predetermined subject. A query is generated using the predetermined subject. The query and one or more definitions of one or more attributes are provided to a second machine learning model. At least one attribute and a value assigned to the attribute are received from the second machine learning model. The value is extracted from one or more portions and assigned to the attribute. A graphical user interface displaying the attribute and the value assigned to the attribute is generated.


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