Case Study: Legal Service Providers achieve 50% review reduction and $70K attorney fee savings with Reveal

Using Continuous Multimodal Learning to Reduce Attorney Review Costs

Legal Service Providers faced a tight production deadline and limited attorney review resources after an overly broad initial cull (125k documents) for a breach-of-contract litigation. They engaged Reveal and deployed Brainspace’s Continuous Multimodal Learning (CMML) capabilities to enable technology-assisted review and prioritize relevance.

Reveal used a 400-document training sample and Brainspace CMML with Diverse Active Learning to rank and prioritize review; this reduced the review population from 140,000 to 70,000 (50% reduction), produced an initial 75% richness, saved approximately 1,750 hours of review time and over $70,000 in attorney fees, and allowed Legal Service Providers to meet the deadline.