Generative AI has moved from hypothetical to reality over the past three years, but some barriers still exist before widespread use in the legal industry. Perhaps the most pressing concerns are around using technology that is not 100% accurate. This panel will tackle misconceptions around GenAI’s accuracy, explaining how these tools can be architected to aid while minimizing the risk of hallucinations or false positives. We will discuss prompt engineering, the science of asking GenAI tools questions in the right way, to minimize the risk of inaccuracies and receive more specific, concise answers. Finally, we’ll explore the future of GenAI, and determine whether accuracy could and should continue to be a major barrier to widespread adoption moving forward.

TARGET AUDIENCE:

All individuals interested in learning more about generative AI and how it is being implemented in different organizations would benefit from attending.

TAKEAWAYS:

1. Participants will understand misconceptions around GenAI’s accuracy.
2. Participants will gain insights on improving prompt engineering techniques.
3. Participants will discuss and prepare for the future of GenAI.

SPEAKERS:

• Patrick Parsons, University of Pittsburgh School of Law
• Andrea Guldalian, Duane Morris LLP
• Saskia Mehlhorn, Norton Rose Fulbright US LLP
• Rachel Beithon, Thomson Reuters

COORDINATOR:

• Zach Warren, Thomson Reuters Institute

AALL BODY OF KNOWLEDGE DOMAINS: Research + Analysis, Information Management

CANCELLATION AND OTHER POLICIES:

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