Case Study: Global Corporation achieves 94% recall and $400,000 review cost savings with OpenText Insight Predict and OpenText Managed Services

Global corporation meets tight deadlines with high-efficiency review

A global corporation facing a federal investigation into alleged price‑fixing was served a broad document request with only four months to respond. With an initial sample indicating up to 45% responsiveness and a need to protect confidential, proprietary information, the company had to produce only truly responsive documents quickly and securely.

OpenText Insight Predict (TAR 2.0 with continuous active learning) plus OpenText Managed Services reviewed 600,000 documents and achieved 94% recall while reviewing just 30% of the collection, meeting tight deadlines and adapting to changing review criteria. The review reached 1.33:1 efficiency, cut QC sampling from 20% to 2.5%, and saved the client about $400,000 in review costs.