AI Note-Taking: Productivity Tool or Discovery Problem?

AI note-taking tools are rapidly becoming part of everyday business life. From automatically transcribing meetings to generating summaries, action items, and follow-up emails, these tools can be an enormous time saver. But as companies increasingly rely on AI assistants during meetings and communications, an important legal question is emerging: Are AI-generated notes discoverable in litigation?

The short answer is: potentially, yes.

In many lawsuits, parties are required to produce relevant electronically stored information (“ESI”), which can include emails, chat logs, recordings, drafts, metadata, and internal notes. AI-generated meeting summaries and transcripts may fall squarely within that category, particularly if they were stored, shared, or relied upon in business decision-making.

The problem? AI summaries are not always perfectly accurate. An automated summary may omit context, mischaracterize statements, or unintentionally create language that sounds more definitive than what was actually discussed. In litigation, however, those summaries could later be examined closely by opposing counsel.

The efficiency benefits of AI note taking are substantial but users of this tech should adopt thoughtful policies regarding:

• when AI recording tools may be used

• retention and deletion practices, where the transcripts/recordings are stored, and who has access

• employee consent and disclosure

• confidentiality protections

• whether sensitive meetings should be excluded from automated transcription

Companies that develop clear governance policies now will likely be in a far stronger position later.