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Mitchell & Associates: 75% reduction with Harvey AI

Legal50-100 employeesHarvey AI

📌Key Takeaways

  • 1Mitchell & Associates (Legal, 50-100 employees) deployed Harvey AI.
  • 2Document Review Time: 75% reduction (now 2 hours).
  • 3Research Time: 75% reduction (now 1.5 hours).
  • 4Implementation timeline: 6 weeks including training and validation.

75% reduction

Document Review Time

75% reduction

Research Time

21% increase

Billable Hours per Associate

The Challenge

Associates spent 40% of their time on document review and research. This limited capacity for client work and led to burnout.

The Solution

Harvey AI was deployed for contract analysis, legal research, and document review, freeing associates for higher-value work.

Implementation

6 weeks including training and validation

15 Associates + 3 Partners + IT

  1. 1Piloted with contract review use case
  2. 2Validated output accuracy with senior partners
  3. 3Trained associates on AI collaboration workflow
  4. 4Expanded to legal research
  5. 5Integrated with document management system

Results

MetricBeforeAfterChange
Document Review Time8 hours2 hours75% reduction
Research Time6 hours1.5 hours75% reduction
Billable Hours per Associate140/month170/month21% increase
"Harvey finds relevant precedents in minutes that would take associates hours. Our lawyers now focus on strategy and client relationships."

Patricia MitchellManaging Partner, Mitchell & Associates

Key Learnings

  • 1Senior review of AI outputs builds trust
  • 2Lawyers should guide AI, not just accept output
  • 3Time savings translate to increased capacity

Frequently Asked Questions

Mitchell & Associates implemented Harvey AI to harvey ai was deployed for contract analysis, legal research, and document review, freeing associates for higher-value work.. The implementation involved 5 key steps and took 6 weeks including training and validation. The team included 15 Associates + 3 Partners + IT.
Mitchell & Associates achieved significant results: Document Review Time: 75% reduction; Research Time: 75% reduction; Billable Hours per Associate: 21% increase. These improvements were measured after full deployment.
The implementation timeline was 6 weeks including training and validation. Key phases included: Piloted with contract review use case, Validated output accuracy with senior partners, Trained associates on AI collaboration workflow. The project team consisted of 15 Associates + 3 Partners + IT.
Key learnings from Mitchell & Associates's Harvey AI implementation include: 1) Senior review of AI outputs builds trust 2) Lawyers should guide AI, not just accept output 3) Time savings translate to increased capacity
Before implementing Harvey AI, Mitchell & Associates faced significant challenges. Associates spent 40% of their time on document review and research. This limited capacity for client work and led to burnout. These issues led them to evaluate AI-powered solutions.
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Last updated: January 30, 2026

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