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AI in Action

Real world examples of how
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| less than a minute read

Global Pharmaceutical Company Uses AI to Surface Expert Inconsistencies and Strengthen Litigation Strategy

A global pharmaceutical company defending complex litigation needed a more effective way to track and analyze expert testimony across cases, products, and time.

Challenge

Expert opinions evolve across matters and over years of testimony, often creating inconsistencies that are difficult to identify through traditional review. Manually analyzing thousands of pages of reports and
depositions limited the ability to connect insights across cases and weakened opportunities to challenge expert credibility early.

Approach

Barnes & Thornburg used AI-powered analysis to aggregate and examine expert materials across matters. The platform enabled rapid querying of testimony, automated detection of inconsistencies, and generation of timelines showing how opinions evolved. Attorneys used these insights to refine cross examination strategy, align litigation narratives, and proactively target vulnerabilities.

Impact

The client gained a unified view of expert positions across its litigation portfolio. Earlier identification of
inconsistencies strengthened cross examination and improved alignment between discovery and trial
strategy. The team was able to act on weaknesses earlier, before they were addressed or reframed by
opposing counsel.

Tags

litigation, discovery, workflow improvement