US 12,307,210 B2
Systems and methods for generating legal document drafts
Nathan Walter, San Rafael, CA (US)
Assigned to The Simple Associate, Inc., San Rafael, CA (US)
Filed by The Simple Associate, Inc., San Rafael, CA (US)
Filed on Apr. 18, 2024, as Appl. No. 18/639,796.
Application 18/639,796 is a continuation of application No. 18/359,573, filed on Jul. 26, 2023, granted, now 12,045,579.
Prior Publication US 2025/0036884 A1, Jan. 30, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 40/40 (2020.01); G06F 40/106 (2020.01); G06F 40/186 (2020.01)
CPC G06F 40/40 (2020.01) [G06F 40/106 (2020.01); G06F 40/186 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A system configured to generate document templates for individual cases based on exemplary segments of legal documents, the system comprising:
electronic storage that stores case content for the individual cases, wherein the case content for individual ones of the cases includes information associated with the individual ones of the cases and the exemplary segments of legal documents associated with the individual ones of the cases;
one or more physical processors configured by machine-readable instructions to:
obtain, from the electronic storage, first case content for a first case, wherein the first case content includes information associated with the first case and one or more exemplary segments of legal documents associated with the first case;
provide the first case content as input to a trained machine-learning model;
provide one or more prompts to the trained machine-learning model that configure the trained machine-learning model to:
generate a first document template based on the one or more exemplary segments of legal documents included in the first case content, wherein the first document template is generated in a style based on the style of the one or more exemplary segments of legal documents included in the first case content, wherein the first document template includes one or more information fields;
for individual ones of the one or more information fields of the first document template, determine and insert case-specific information for the first case to generate a first document draft, wherein the case-specific information for the first case is determined based on case content for the first case;
output the first document draft;
obtain output from the trained machine-learning model, wherein the output includes the first document draft; and
provide the first document draft to a user.