Case Study: KordaMentha meets regulator’s two-week deadline and processes 1.2M documents with Relativity

KordaMentha Uses Active Learning to Adhere to Complex Request in 2 Weeks

KordaMentha was engaged by an Australian financial firm facing a regulator’s expanded information request with a strict two‑week deadline and complex relevancy criteria. To meet the urgent requirement, KordaMentha leveraged Relativity’s platform—using Processing to ingest data and Relativity Analytics/Active Learning to prioritize review.

Using Relativity, KordaMentha processed 1.2 million documents in under 48 hours, ran separate active learning projects for relevance and privilege, trained a ten‑person review team, and built custom reports to monitor model accuracy. The workflow flagged 1.24 million documents as not relevant, limited manual review to about 229,640 documents, and enabled the client to produce 200,000 documents and meet the regulator’s deadline—demonstrating Relativity’s measurable impact on speed and review efficiency.

KordaMentha

Craig Macaulay

Executive Director