Case Study: Am Law 200 firm achieves 62% review reduction and completes 30K-document review in 1.5 days with DISCO Managed Review

30K Document Review Completed in 1.5 Days by Leveraging Previous DISCO AI Models

An Am Law 200 Firm representing a business management firm that provides financial and tax services to high-profile global clients needed to quickly respond to a Department of Justice grand jury subpoena that required collecting and reviewing millions of documents. The Am Law 200 Firm engaged DISCO—using DISCO Ediscovery and DISCO Managed Review—to reduce scope and accelerate first-pass review.

DISCO leveraged AI prioritization and cross-matter learnings from an initial 245,000-document review to process a supplemental 30,572-document dataset; with the pre-trained DISCO model the team started with a >75% responsive rate, stopped review after 1.5 work days, and avoided manual review on 62% of the documents. The approach saved the client more than $50,000 overall (including over $36,000 by avoiding review of 46,000 docs in the first dataset), shaved weeks off the timeline, and enabled the firm to meet its deadline.