In high-volume mass tort litigation, plaintiff fact sheets hold valuable signals—if you know where to look. This session explores how defense teams are applying data analytics and AI to detect anomalies, identify patterns of fraud or duplication, and uncover strategic insights that can shape global settlement strategy or support motions to dismiss. 
Discussion topics include: 

• Building structured data models from plaintiff fact sheets 
• Using AI to flag inconsistencies, duplicative claims, and outliers 
• Leveraging pattern recognition to guide litigation strategy and negotiations