Mass Tort Webinar Series Part 1: Using AI in Mass Torts

Welcome Announcements

Using AI in Mass Torts

AI tools are transforming the practice—from document review to case valuation. But they raise ethical and regulatory questions for practitioners.

Ethics of AI as a Mass Tort Practitioner

• Competence and diligence under ABA Model Rule 1.1 — knowing the technology
• Duty of confidentiality and safeguarding client data
• Risks of bias, transparency, and explainability in AI outputs
• Accountability: who is responsible for AI-generated work product?

Tools and Best Practices

• AI for document review, case screening, and medical record summarization
• Predictive analytics for settlement forecasting
• Automating client communications and claims intake
• Verifying AI-generated content for accuracy and evidentiary reliability
• Bellwether case selection
• AI use in expert reports
• Plaintiff Fact Sheets
• Internal Census Forms
• Focus Groups
• Demonstrative Evidence

Future Trends

• Use of AI to identify emerging mass torts (social media monitoring, adverse event reporting)
• Integration with litigation management platforms

Questions & Answers