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Tech in Medical Mass Torts: Causation & Data
AI is transforming medical mass tort detection — helping attorneys tackle causation and unstructured data challenges.
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Shelbi Lifshitz and Sean McCalister explore how AI uncovers adverse reactions and traces digital footprints of medical harm — helping law firms detect emerging product liability threats early and gain actionable insights before cases become widely known.
In this session we will cover
- How AI detects product liability cases
- Solving causation and data challenges
- Uncovering harm in unstructured data
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