Case Study: AmLaw 100 Law Firm meets DOJ 2nd Request — analyzes 30 TB and produces 222,000 documents in under 60 days with Reveal

Amlaw 100 Law Firm - Customer Case Study

Amlaw 100 Law Firm, representing a global entertainment company facing a U.S. Department of Justice Second Request tied to a proposed $60 billion acquisition, needed to analyze 30 TB of collected data and produce responsive material in just 60 days. The firm engaged Reveal and its litigation service provider partner and deployed Brainspace’s Intelligent Coding supervised‑learning technology to address the urgent review challenge.

Reveal’s solution—working with the LSP and using Brainspace Intelligent Coding (logistic regression)—trained on a small sample (5,040 control and 1,750 training documents) and required 40–50% fewer training documents than competing platforms. Reveal helped auto‑code about 85% of the review population, enabled the firm to analyze 30 TB within the deadline, produce just under 222,000 documents, meet agreed recall and precision targets, and secure DOJ acceptance of the production.