US Patent Issued to RELATIVITY ODA on Dec. 23 for "Identifying and ranking potentially privileged documents using a machine learning topic model" (New York Inventors)

ALEXANDRIA, Va., Dec. 23 -- United States Patent no. 12,505,138, issued on Dec. 23, was assigned to RELATIVITY ODA LLC (Chicago).

"Identifying and ranking potentially privileged documents using a machine learning topic model" was invented by Ethan Benjamin (New York) and Apoorv Agarwal (New York).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for identifying and ranking potentially privileged documents using a machine learning topic model may include receiving a set of documents. The method may also include, for each of two or more documents in the set of documents, extracting a set of spans from the document, generating, using a machine learning topic model, a set of topics and a subset of legal top...