Case Study: North American Energy Company reduces discovery cost and time with Epiq's AI-based Continuous Active Learning

Domestic energy corporation reduces discovery cost and time through the use of AI-based Continuous Active Learning (CAL)

A North American energy company was faced with an urgent eDiscovery request involving over 369,000 documents and needed to significantly reduce the cost and time required for compliance. The vendor, Epiq, was selected for its expertise in deploying AI-based Continuous Active Learning (CAL) to efficiently identify responsive documents.

Epiq implemented a bespoke CAL workflow using embedded NexLP AI technology. This solution prioritized the review by identifying over 20,600 responsive documents after reviewing only 18.43% of the data, achieving an 81% reduction in review time that eliminated 6,639 hours of work. The low elusion rate confirmed its accuracy, saving the client hundreds of thousands of dollars.