US 12,067,344 B2
Customized agreement generation
Stephen Parish, Midway, UT (US); Julianne Wu Ashlock, San Francisco, CA (US); Palash Agrawal, San Francisco, CA (US); Pavan Kumar Nallanchakravarthula, Port Moody (CA); Collin Tibbetts, Kirkland, WA (US); and Brian Iversen, Concord, CA (US)
Assigned to DocuSign, Inc., San Francisco, CA (US)
Filed by DocuSign, Inc., San Francisco, CA (US)
Filed on May 3, 2023, as Appl. No. 18/311,841.
Application 18/311,841 is a continuation of application No. 17/846,789, filed on Jun. 22, 2022, granted, now 11,645,446.
Prior Publication US 2023/0419013 A1, Dec. 28, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 40/186 (2020.01); G06F 40/106 (2020.01); G06F 40/14 (2020.01); G06F 40/197 (2020.01)
CPC G06F 40/106 (2020.01) [G06F 40/14 (2020.01); G06F 40/186 (2020.01); G06F 40/197 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, by one or more processors, a request for a document from a client device of a receiving entity;
applying, by the one or more processors, a machine-learned model to a representation of a feature of a profile characterizing the receiving entity and a target rendering parameter for rendering content of the document;
receiving, by the one or more processors and as an output from the machine-learned model, a likelihood that an interaction with the document rendered for display with the target rendering parameter is performed by the receiving entity causing a completion of the document;
modifying, by the one or more processors and based on the likelihood, the document to render the content for display with the target rendering parameter; and
providing, by the one or more processors, the modified document to the client device.