Leveraging AI To Estimate Mass Tort Liability

Introduction

America's tort system is anchored in precedent, yet estimating liability at scale remains one of the most complex challenges for legal experts. Each plaintiff's award in mass torts hinges on nuanced factors such as age, disease or injury, potential product exposure, and even jurisdiction. Data on these factors are buried in case summaries, from sources like VerdictSearch and Westlaw, as unstructured text ill-suited for analysis and large-scale liability estimation. Other sources like Courthouse News and Docket Alarm provide some structured information but only focus on general case attributes and lack the detail required for robust mass tort assessments.

Why Traditional Methods Fall Short