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.
Patent No.:
Date of Patent:
Mar. 04, 2025
Filed:
Sep. 08, 2023
Docusign, Inc., San Francisco, CA (US);
Christina Silva Hamlin, Walnut Creek, CA (US);
Eric M. Zenz, Mercer Island, WA (US);
Jacob Scott Mitchell, Richmond, VA (US);
William Gerard Wetherell, San Francisco, CA (US);
Sedine Jei San Agustin, Walnut Creek, CA (US);
Aylin Selcukoglu, Chicago, IL (US);
Megan Elizabeth Schwarz, Chicago, IL (US);
David Minoru Hirotsu, Torrance, CA (US);
Dia A. Abulzahab, Willowbrook, IL (US);
Mangesh Prabhakar Bhandarkar, Los Altos, CA (US);
Isaac John Steiner, Chicago, IL (US);
Saul Adams Aguilar, Redwood City, CA (US);
Michael Wayne Fountain, Bainbridge Island, WA (US);
Docusign, Inc., San Francisco, CA (US);
Abstract
A document management system can include an artificial intelligence-based document manager that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity. For instance, the document management system can apply a machine-learning model to determine how long an expiring agreement document is likely to take to renegotiate and can prompt a user to begin the renegotiation process in advance. The document management system can detect a change to language in a particular clause type and can prompt a user to update other documents that include the clause type to include the change. The document management system can determine a type of a document being worked on and can identify one or more actions that a corresponding user may want to take using a machine-learning model trained on similar documents and similar users.