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Am Law 200 firm cuts operational costs 40% and completes e-discovery migration in under 3 weeks with DISCO

An am law 200 firm deployed Machine Learning & Predictive Analytics for E-Discovery & Document Review in Law Firms. As reported by valuecore.ai: 40% annual operational cost reduction.

Maintained by Peter Korpak, Lead EditorHow evidence is checked
40%Annual Operational Cost Reduction
Completed in less than half the 6-week deadlineMigration Timeline vs. Deadline
400,000Documents Migrated

Source-reported figures — cited source: valuecore.ai

What the am law 200 firm was trying to fix

The firm faced a tight six-week deadline to migrate 400,000 documents for e-discovery review and production. They lacked real-time visibility into operations and struggled to scale their existing infrastructure to meet case demands.

What the am law 200 firm deployed

The firm migrated 400,000 documents to DISCO Ediscovery, a cloud-based e-discovery platform with AI-driven document review and managed review services. The platform provided real-time monitoring and analytics and replaced the firm's legacy infrastructure with scalable cloud architecture.

Results

The migration and production were completed in less than half the six-week deadline. The firm achieved 24/7 real-time visibility, scaled operations to support significant growth, and decreased operational costs by 40% annually.

Key Takeaways

  • Tight litigation deadlines can drive rapid cloud migration when the right managed services support is in place.
  • Real-time visibility into e-discovery operations significantly reduces risk and bottlenecks.
  • AI-assisted document review at scale can dramatically compress timelines while cutting costs.

Evidence for the am law 200 firm's E-Discovery & Document Review deployment

Reported outcome metrics
3 cited below
Cited source
valuecore.ai
Last updated
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Limitation: The cited source does not identify the company.

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Details

Industry
Law Firms
Company Size
Enterprise
Company
Am Law 200 firm

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