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. 28, 2021

Filed:

Oct. 30, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Roger C. Raphael, San Jose, CA (US);

Rajesh M. Desai, San Jose, CA (US);

Nazrul Islam, San Jose, CA (US);

Satwik Hebbar, Chennai, IN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 50/18 (2012.01); G06N 5/02 (2006.01); G06F 16/93 (2019.01); G06F 16/242 (2019.01); G06F 16/901 (2019.01); G06F 16/9535 (2019.01); G06F 40/30 (2020.01); G06F 40/295 (2020.01); G06F 16/36 (2019.01);
U.S. Cl.
CPC ...
G06Q 50/18 (2013.01); G06F 16/2423 (2019.01); G06F 16/36 (2019.01); G06F 16/9024 (2019.01); G06F 16/93 (2019.01); G06F 16/9535 (2019.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G06N 5/02 (2013.01);
Abstract

Provided are techniques for extracting, deriving, and using legal matter semantics to generate e-discovery queries in an e-discovery system. A semantic knowledge graph is iteratively built by receiving meet and confer document instances, legal matter types, historical e-discovery queries for different legal matters, and legal semantic types extracted from the historical e-discovery queries. The legal semantic types are added to the semantic knowledge graph, and a list of terms that serve as a basis of an initial query are identified. An e-discovery query is generated for an e-discovery system. The e-discovery query is modified using the semantic knowledge graph and additional input by receiving a legal matter type and meet and confer information, obtaining the legal semantic types that are relevant to the legal matter type and the meet and confer information, and modifying the e-discovery query. The modified e-discovery query is provided. Then, the modified e-discovery query is executed.


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