As mass tort and class action litigation continue to generate unprecedented volumes of claims, legal teams are turning to agentic and generative AI to transform how intake and triage are handled at scale. This session explores how AI-driven intake systems can autonomously organize, evaluate, and prioritize claims, reducing manual review while improving consistency and accuracy. Attendees will examine how agentic AI supports faster decision-making, better resource allocation, and more defensible workflows in high-volume matters—while also considering the governance, transparency, and risk considerations that accompany automation in complex litigation environments. Discussion topics include:

• How agentic AI automates and scales mass-tort and class action intake, from claim ingestion to triage and prioritization

• The role of generative AI in improving accuracy, consistency, and speed in qualifying and organizing high-volume claims

• Governance, oversight, and defensibility considerations when deploying AI-driven intake tools in large-scale litigation