A global pharmaceutical company managing large scale mass tort litigation needed a more precise way to understand what was actually driving claim value across its inventory.

Challenge

Evaluating thousands of claims required analyzing complex medical records to determine which factors meaningfully impacted settlement value. Traditional manual review was slow and inconsistent and made it difficult to identify patterns across the full claim population, putting the client at a disadvantage in early negotiations.

Approach

Barnes & Thornburg deployed an AI-powered medical record analysis platform configured with litigation-specific frameworks. The system extracted and organized key variables such as comorbidities, pre-existing conditions, alternative causation, and evidentiary gaps across the full claim inventory. Attorneys then used these insights to develop valuation models, identify weaker claims, and anchor negotiation strategy in the underlying record.

Impact

The client gained early visibility into the factors driving exposure before those issues were shaped by
opposing counsel. The approach improved consistency across claim evaluations, accelerated review
timelines, and strengthened the client’s negotiating position. It also made it easier to identify weaker
claims and support more disciplined settlement outcomes.