Case Studies

Case Study: How Smith & Associates Reduced Review Time by 70%

A mid-size plaintiff firm transformed their medical case review workflow with AI-powered tools. Here is how they achieved dramatic efficiency gains without sacrificing quality.

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Sarah Chen

February 1, 2026 · 6 min read

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Smith & Associates is a 45-attorney plaintiff firm based in Chicago that specializes in medical malpractice and catastrophic injury litigation. Like many firms of their size, they were struggling with a growing caseload and a medical record review process that had not fundamentally changed in decades.

The challenge was clear: their team of six paralegals was spending an average of 40 hours per case on initial medical record review and chronology preparation. With a pipeline of over 200 active cases, the bottleneck was limiting their ability to take on new matters and slowing time-to-resolution on existing ones.

The Before: Manual Review at Scale

Before adopting Expert Surgeon, the firm's workflow looked like this:

  • Medical records received via mail or fax (often thousands of pages per case)
  • Paralegals manually organized records by provider and date
  • Each page was individually reviewed and key findings were entered into spreadsheets
  • A medical chronology was assembled by hand over several weeks
  • The completed package was sent to an expert witness for review

The average time from record receipt to expert engagement was 6-8 weeks. During peak periods, this timeline stretched even further, creating cascading delays across the firm's entire caseload.

The Implementation

Smith & Associates began their pilot with Expert Surgeon on a cohort of 25 new cases. The implementation process involved three phases:

  1. Platform onboarding (Week 1): The firm's IT team completed HIPAA compliance review, executed the BAA, and configured user accounts with appropriate role-based access controls.
  2. Workflow integration (Weeks 2-3): The paralegal team was trained on the AI extraction platform. Rather than replacing their existing process entirely, the firm layered AI-powered extraction as a first pass before human review.
  3. Full deployment (Week 4): After validating AI accuracy against manual review on the pilot cohort, the firm rolled out the platform across all new case intake.
The Results

After six months of full deployment, the measurable outcomes exceeded expectations:

  • Review time reduced by 70%: Average time per case dropped from 40 hours to 12 hours of paralegal time
  • Expert engagement accelerated: Time from record receipt to expert review dropped from 6-8 weeks to under 2 weeks
  • Case intake increased by 35%: Freed paralegal capacity allowed the firm to accept more cases without additional hiring
  • Quality improvement: AI extraction caught an average of 3.2 clinically significant findings per case that were missed or delayed in prior manual review

The managing partner noted that the ROI was apparent within the first quarter. The platform paid for itself through reduced review hours alone, before accounting for the value of faster case progression and improved case outcomes.

Key Takeaways

The success of Smith & Associates illustrates several important principles for firms considering AI adoption:

  • Start with a defined pilot before full deployment
  • Layer AI tools alongside existing workflows rather than attempting a complete replacement
  • Measure both efficiency gains and quality improvements
  • Invest in proper training to maximize adoption and utilization
case studyefficiencyROImedical malpracticelaw firm
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Sarah Chen

VP of Operations, Expert Surgeon

Dedicated to advancing the intersection of medical expertise and legal technology, helping attorneys build stronger cases with AI-powered insights.

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