Am Law 200 Firm Cuts Ediscovery Costs 53% and Completes 400K-Document Privilege Review in Six Weeks with DISCO
Am Law Firm deployed Machine Learning & Predictive Analytics for E-Discovery & Document Review in Law Firms. As reported by www.casestudies.com: $373,000 (53% less than in-house) total engagement cost.
Source-reported figures — cited source: www.casestudies.com
What Am Law Firm was trying to fix
An Am Law 200 firm faced a time- and cost-sensitive privilege review during a complex bankruptcy involving 150+ defendants and roughly 400,000 documents. COVID-19 made its usual offshore reviewers unavailable, and an in-house review was estimated to cost far more than the firm could justify while monopolizing associates' time under a tight deadline.
What Am Law Firm deployed
The firm engaged DISCO, migrating its databases to DISCO Ediscovery and contracting the DISCO Review team to handle the privilege review. DISCO completed a rapid data migration and used DISCO AI alongside its review team to prioritize and process documents within the guaranteed timeframe.
Results
Reviewers averaged 71 documents/hour versus 25/hour in-house, completing the work at a cost-effective per-document rate. The engagement cost $373,000 (about 53% less than in-house), delivered an 82% time savings, cut review volume by 51% via AI, and produced a privilege log with minimal tag overrides, drawing no challenges from opposing counsel.
Key Takeaways
- AI-assisted prioritization can cut review volume by half while maintaining accuracy (minimal tag overrides).
- Rapid data migration enabled the firm to meet a court deadline despite losing its offshore review capacity to COVID-19.
- Outsourcing to a specialized ediscovery review team nearly tripled reviewer throughput (71 vs. 25 docs/hour) versus in-house staffing.
Evidence for Am Law Firm's E-Discovery & Document Review deployment
- Reported outcome metrics
- 3 cited below
- Cited source
- www.casestudies.com
- Last updated
- Source link checked
Explore Related
Vendor
Details
- Industry
- Law Firms
- Use Case
- E-Discovery & Document Review
- AI Technology
- Machine Learning & Predictive Analytics
- Company Size
- Enterprise
- Company
- Am Law Firm
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