U.S. Federal Regulatory Agency migrates 1 petabyte to cloud eDiscovery with Casepoint AI
Major U.S. Federal Regulatory Agency deployed Analytics & Business Intelligence for E-Discovery & Document Review in Regulatory & Compliance. As reported by www.casepoint.com: 2,000+ across multiple offices users supported.
Source-reported figures — cited source: www.casepoint.com
What Major U.S. Federal Regulatory Agency was trying to fix
Federal regulatory agencies face mounting pressure to manage litigation, investigations, and compliance workflows at scale — while operating under some of the most stringent data security requirements in government. This agency needed to retire a legacy on-premises eDiscovery system holding up to 1 petabyte of data and replace it with a FedRAMP-authorized cloud platform capable of ingesting up to 10 TB of new data per month. Coordinating across multiple divisions, government contractors, and 2,000+ users spread across several U.S. offices — each with varying levels of eDiscovery expertise — made the transition technically and operationally complex. Remaining on legacy infrastructure meant continued cost burden, limited access to AI-assisted review, and compounding risk as data volumes grew.
What Major U.S. Federal Regulatory Agency deployed
Following an extensive evaluation, the agency selected Casepoint's enterprise-grade SaaS eDiscovery platform for its combination of security pedigree and AI-driven analytics capabilities. Casepoint pursued and obtained FedRAMP Authorization along with an agency-specific Authority to Operate (ATO) — prerequisites for any federal deployment. A structured phased approach began with a one-year pilot migrating up to 20 TB, followed by Phase 1 targeting 700 TB and Phase 2 covering an additional 300+ TB. Single sign-on was integrated with the agency's Active Directory to streamline access across offices. Casepoint's AI and Advanced Analytics module enabled automated document classification, prioritization, and review workflows tailored to federal litigation and compliance use cases. To fit agency-specific processes, Casepoint delivered over 100 custom product enhancements, with detailed project plans governing migration, risk mitigation, onboarding, and training across all locations.
Results
The agency met all key milestones during the pilot period and achieved its training objectives across the full user base before advancing to full rollout. Key outcomes include:
- 2,000+ users onboarded across agency headquarters and multiple U.S. offices
- 200+ TB of data actively hosted on the platform, with continuous ingestion and processing underway
- 100+ custom product enhancements delivered to match agency workflows
- Full-scale legacy migration progressing toward the 1 petabyte target under a 5-year contract
The transition eliminated reliance on aging on-premises infrastructure while giving legal and compliance teams access to AI-assisted review tools that were previously unavailable at this scale.
Key Takeaways
- FedRAMP Authorization and a site-specific ATO are non-negotiable prerequisites for federal eDiscovery deployments — build security authorization timelines into the project plan from day one.
- A dedicated pilot phase (here, one year with up to 20 TB) is essential for validating migration processes and daily ingestion workflows before committing to full-scale rollout.
- Vendor flexibility matters: 100+ custom enhancements were required to fit this agency's workflows — evaluate whether prospective vendors can adapt their platform, not just install it.
- Large, distributed user bases with mixed expertise levels require structured onboarding and training programs that run in parallel with technical migration, not after it.
Evidence for Major U.S. Federal Regulatory Agency's E-Discovery & Document Review deployment
- Reported outcome metrics
- 3 cited below
- Cited source
- www.casepoint.com
- Last updated
- Source link checked
Explore Related
Details
- Industry
- Regulatory & Compliance
- Use Case
- E-Discovery & Document Review
- AI Technology
- Analytics & Business Intelligence
- Company Size
- Enterprise
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