Why AI Transcription Tools Are a Public Records Liability for Government Boards

AI transcription is everywhere. Otter.ai joins your Zoom call automatically. Microsoft Teams generates meeting summaries without being asked. Google Meet offers real-time captions that get saved to the cloud.

For corporate teams, these tools are a productivity boost. For government boards, school districts, and public agencies, they're a legal liability waiting to happen.

The Problem: Everything Is a Record

Under open meeting laws and public records statutes in all 50 states, documents related to the conduct of public business are generally subject to disclosure upon request. The definition of "document" or "record" is broad — and getting broader.

In California, the Public Records Act (Government Code § 6252) defines "public records" to include "any writing containing information relating to the conduct of the public's business prepared, owned, used, or retained by any state or local agency." "Writing" includes electronic data.

Florida's definition is similarly expansive. Texas. Illinois. New York. The pattern holds: if it exists and it relates to public business, it's probably a public record.

Now consider what happens when an AI transcription tool joins your board meeting:

• It creates a verbatim transcript of everything said — including off-hand remarks, misstatements, and sidebar conversations picked up by the microphone.
• It generates an AI summary that may or may not accurately reflect what occurred.
• It stores these files on a third-party cloud server, often with retention policies you don't control.
• It may create speaker-identified records that attribute specific statements to specific board members.

Every one of these artifacts is potentially discoverable under a public records request.

Real-World Consequences

This isn't hypothetical. Across the country, journalists, activists, and members of the public are filing records requests specifically targeting AI-generated meeting content. They know these tools exist. They know the records are stored in the cloud. And they know that many boards haven't thought through the implications.

Consider the scenarios:

Scenario 1: A school board discusses a controversial personnel matter in closed session. The AI tool running on a board member's laptop transcribes the entire discussion, including portions that should have been confidential. A records request surfaces the transcript.

Scenario 2: A community college board votes on a budget item. The AI-generated summary inaccurately characterizes the discussion, suggesting the board considered factors it didn't. An opposing party uses the AI summary to challenge the decision.

Scenario 3: A county board of supervisors uses a transcription tool for "internal convenience." A records request demands all transcripts from the past two years. The board now must review, redact, and produce thousands of pages of unedited AI-generated text — at significant staff time and legal cost.

The Transcript vs. Minutes Problem

There's a fundamental difference between official minutes and raw transcripts that gets lost when AI tools enter the picture.

Official minutes are a deliberate, curated record. The clerk or secretary drafts them, the board reviews them, and they're formally approved — usually at the next meeting. They reflect what the board did, not everything that was said. Courts and regulatory bodies treat approved minutes as the authoritative record of board action.

A raw transcript is none of those things. It's unreviewed, unapproved, and often full of errors. AI transcription tools regularly misidentify speakers, garble technical terms, and miss context that would be obvious to a human listener.

Yet under records law, both documents have the same status: they're public records, subject to disclosure. The raw transcript doesn't replace the official minutes — but it sits alongside them, available to anyone who asks, creating a parallel (and often contradictory) narrative of what happened.

The Hidden Cost: Staff Time

Beyond legal exposure, there's a practical cost that clerks know all too well. When a records request targets AI-generated transcripts, someone has to:

• Locate all the files (which may be stored across multiple platforms and accounts)
• Review every page for exempt or confidential information
• Redact protected content (closed session discussions, attorney-client communications, personnel matters)
• Produce the responsive documents within the legally required timeframe

For a single meeting, this might take hours. For a request covering months or years of meetings, it can consume weeks of staff time — time that was already scarce.

A Smarter Approach

The solution isn't to abandon technology — it's to choose technology that doesn't create the problem in the first place.

The safest AI tools for board meeting minutes are those that:

• Never record the meeting. No audio or video means no recordings to disclose.
• Never transcribe in real time. No bot joins the call, no real-time transcript is generated.
• Work from notes and agendas after the meeting. The clerk provides the inputs; the tool produces formatted minutes.
• Keep the clerk in control. The output is a draft that the clerk reviews and edits before it becomes the official record.

This approach gives boards the efficiency benefits of AI — faster, more consistent minutes with less manual formatting — without generating the discoverable records that create legal exposure.

The goal should be to produce one record, and produce it well: official minutes that accurately reflect the board's actions, formatted professionally, and ready for approval. Nothing more, nothing less.

In a legal environment where everything you create can be requested, the smartest strategy is to be intentional about what you create.

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