Case Study: Trustpoint.One uncovers more hot documents faster with Reveal’s NexLP AI

Trustpoint.One - Customer Case Study

Trustpoint.One, one of the largest integrated legal service providers in the U.S., was engaged by outside counsel for a Fortune 10 company after counsel had spent over 11,000 hours and found just 11 hot documents in a 500,000‑document corpus. Expanding searches on the firm’s default platform produced no new results, prompting Trustpoint.One to bring in Reveal and its NexLP AI models to try a different, AI‑driven approach.

Trustpoint.One applied Reveal’s NexLP AI reusable models and techniques (Suspected Mass Sender, Thread Searches, Clustering, Super Categories, etc.) to reanalyze the data, quickly surfacing new leads. On day 1 they found 3 new hot documents and additional candidates; by day 12 they completed analysis of the initial 500,000 documents and identified 19 new hot documents total — achieving in weeks what prior methods had not produced in months, while improving batching, culling, and criteria for finding responsive material.

Trustpoint.One

Jaclyn L Schoen

VP Strategy & Artificial Intelligence