Case Study: Large Energy Organization achieves 95% recall after reviewing only 17% of documents with DISCO Review (DISCO AI)

DISCO Review uncovers 95% responsive documents after reviewing only 17% of the total population

Large Energy Organization faced a time‑ and budget‑constrained contract dispute that required reviewing roughly 1.4 million documents in a four‑week window. Represented by a litigation boutique, the client engaged DISCO and its DISCO Review service (using TAR 2.0 and DISCO AI) to surface the most relevant evidence without deploying a large team of contract reviewers.

DISCO deployed a managed review team and a TAR 2.0, AI‑driven workflow that prioritized likely‑responsive documents; in three weeks DISCO Review identified 95% of responsive documents after reviewing only 17% of the population. The DISCO AI recommendations were 96% accepted by reviewers, reduced the review population by 83%, drove QC rates well below typical industry levels, completed the work a week early, and made the review roughly 20× more effective—saving the client over 90% in costs compared to traditional review methods.