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AI in Expert Witness Testimony: Navigating LLM Discovery Risks for Litigators
Importance: 88/1001 Sources
Why It Matters
The integration of AI, particularly LLMs, into expert witness preparation introduces significant new discovery and ethical challenges for legal teams, necessitating immediate attention to mitigate risks and maintain litigation integrity. Failure to address these issues could lead to evidentiary challenges, sanctions, or compromised case outcomes.
Key Intelligence
- ■Litigators must understand the discovery risks associated with expert witnesses using Large Language Models (LLMs) in preparing testimony.
- ■Content generated by LLMs, including drafts or research materials, may be subject to discovery, potentially exposing inaccuracies, biases, or privileged information.
- ■Attorneys need to establish clear policies and protocols for experts regarding the use, documentation, and disclosure of AI tools in their work.
- ■The uncritical use of LLMs by experts without proper oversight can lead to the creation of discoverable material that could undermine credibility or introduce new avenues for cross-examination.
- ■The legal landscape is rapidly evolving, requiring proactive measures to address ethical and evidentiary challenges posed by AI integration in litigation.