Case Study: JND eDiscovery saves hundreds of review hours and cuts costs by nearly 60% with Relativity aiR for Review

JND Saves Corporate Clients Hundreds of Review Hours and Cuts Costs by Nearly 60% with Relativity aiR for Review

JND eDiscovery, a legal service provider, needed a faster, more defensible way to handle large document reviews for corporate clients. Using Relativity aiR for Review, JND tackled challenges including an employee dispute and a large antitrust litigation, where traditional linear review would have taken far longer and cost significantly more.

Relativity’s aiR for Review enabled JND to build a repeatable AI-driven workflow for sampling, prompt refinement, and validation before full-scale review. The results were strong: JND saved more than 750 hours on one matter, cut costs by nearly 60%, reduced project time by almost 90%, and achieved over 96% average recall in the antitrust case, delivering accurate reviews in record time.

JND eDiscovery

Ben Sexton

Vice President of ediscovery and Analytics