BEGIN:VCALENDAR VERSION:2.0 PRODID:-//swoogo.com//NONSGML kigkonsult.se iCalcreator 2.41.90// CALSCALE:GREGORIAN UID:61386235-3262-4762-a631-663938333363 BEGIN:VEVENT UID:9bb3e99175d3e2dd404b58322980d5e456dfab5a@swoogo.com DTSTAMP:20260419T234409Z DESCRIPTION:As mass tort and class action litigation continue to generate u nprecedented volumes of claims\, legal teams are turning to agentic and ge nerative 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 f aster decision-making\, better resource allocation\, and more defensible w orkflows in high-volume matters—while also considering the governance\, tr ansparency\, and risk considerations that accompany automation in complex litigation environments. Discussion topics include:\n\n *\nHow agentic AI automates and scales mass-tort and class action intake\, from claim ingest ion to triage and prioritization\n\n *\nThe role of generative AI in impro ving accuracy\, consistency\, and speed in qualifying and organizing high- volume claims\n\n *\nGovernance\, oversight\, and defensibility considerat ions when deploying AI-driven intake tools in large-scale litigation\n  DTSTART:20260311T153000Z DTEND:20260311T163000Z LAST-MODIFIED:20260419T234409Z LOCATION:Room 408 SEQUENCE:0 STATUS:CONFIRMED SUMMARY:Agentic and Generative AI for Complex Litigation TRANSP:OPAQUE X-ALT-DESC;FMTTYPE=text/html:

As mass tort and class action litigation co ntinue to generate unprecedented volumes of claims\, legal teams are turni ng to agentic and generative AI to transform how intake and triage are han dled at scale. This session explores how AI-driven intake systems can auto nomously organize\, evaluate\, and prioritize claims\, reducing manual rev iew while improving consistency and accuracy. Attendees will examine how a gentic AI supports faster decision-making\, better resource allocation\, a nd more defensible workflows in high-volume matters—while also considering the governance\, transparency\, and risk considerations that accompany au tomation in complex litigation environments. Discussion topics include:

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BEGIN:VALARM UID:66393735-3033-4861-b039-666433373037 ACTION:DISPLAY DESCRIPTION:As mass tort and class action litigation continue to generate u nprecedented volumes of claims\, legal teams are turning to agentic and ge nerative 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 f aster decision-making\, better resource allocation\, and more defensible w orkflows in high-volume matters—while also considering the governance\, tr ansparency\, and risk considerations that accompany automation in complex litigation environments. Discussion topics include:\n\n *\nHow agentic AI automates and scales mass-tort and class action intake\, from claim ingest ion to triage and prioritization\n\n *\nThe role of generative AI in impro ving accuracy\, consistency\, and speed in qualifying and organizing high- volume claims\n\n *\nGovernance\, oversight\, and defensibility considerat ions when deploying AI-driven intake tools in large-scale litigation\n  TRIGGER:-PT15M END:VALARM END:VEVENT END:VCALENDAR