Managing AI Data in Pretrial Discovery | Esquire Deposition Solutions, LLC

Managing AI Data in Pretrial Discovery | Esquire Deposition Solutions, LLC

https://www.jdsupra.com/legalnews/managing-ai-data-in-pretrial-discovery-9984788/

Publish Date: 2026-04-21 17:20:00

Source Domain: www.jdsupra.com

Here are the key points summarizing the article regarding “AI is not your lawyer”:

• Judge Jed Rakoff’s Ruling: The court’s conclusion in United States v. Heppner that attorney-client privilege was waived with respect to information disclosed to a AI tool, coupled with other recent rulings, means AI-generated data can be considered electronically stored information and thus potentially discoverable.

• Relevance of AI in Modern Employment: Employees frequently use generative AI tools like ChatGPT, Microsoft Copilot, etc., to draft and assist in various work-related tasks which generate significant amounts of discoverable data, including prompts, outputs, and activity logs.

• Characteristics of AI-Generated Data: Three unique challenges posed by AI data for litigation include:

  1. Data location often being in third-party platforms.
  2. Data can vanish as many AI systems do not archive output logs.
  3. Data is frequently handled externally by third-party vendors.

• Potentially Discoverable AI Data: Types of data produced by AI that might be discoverable include:

  • Prompts by employees or agents,
  • Outputs generated by AI,
  • Activity logs and metadata,
  • AI-assisted work product,
  • Conversations with AI chatbots.

• Best Practices for Litigators:

  • Modify litigation hold letters to explicitly safeguard AI-related prompts, outputs, activity logs, and metadata.
  • Address AI data early during discovery planning and Rule 26(f) conferences.
  • Identify which employees utilized AI tools and ascertain the platforms they used, distinguishing between personal and enterprise accounts.
  • Ensure internal hold protocols cover AI-generated content created by attorneys, staff, and experts involved in the case.
  • Proactively preserve and collect relevant AI data from third-party providers to prevent automated deletion.

• Future Preparedness: Litigators who effectively manage and understand AI data risks and how to mitigate them will navigate the evolving landscape of civil litigation more adeptly.