Meeting transcripts and AI: anonymize before summarizing

"Honestly, the Lavandier account, I don't feel good about it, and between us the client is acting in bad faith." That line comes straight out of your automatic transcript. Pinned to the account lead. By name, dropped somewhere into forty minutes where everyone spoke freely, sure the whole thing would stay inside the room. All you wanted was a summary. And the list of decisions. Nothing more. Drop that raw verbatim into a consumer tool, though, and you hand it in one go who said what, about whom, and in exactly what tone.

Participants and the named client become consistent pseudonyms. The AI summarizes and lists decisions without seeing a single real name.

A transcript says who is speaking

Unlike a note, a transcript labels every single speaker on every single line: Marie this, Paul that, turn after turn, relentlessly, from the first word to the very last. The summary you want, though, does not need those name tags. Not one. It only needs to know a decision was made, never the exact identity of whoever carried it. So you pseudonymize the speakers. Into consistent pseudonyms, kept the same across the whole thread.

Comments about third parties, the real sensitive part

The trickiest part is often not the participants' names. It is the absent ones. The people quoted in the discussion without ever being there to answer: a client called "impossible", a supplier "who will never deliver", a colleague whose departure is being floated under one's breath. These verbatims are accurate. And attributable. They must be pseudonymized just like the speakers, or the summary copies, word for word, a named judgement about someone who was not even in the room.

What you keep: the content of the exchanges

The purpose of the meeting, the arguments, the trade-offs, the decisions: all of it stays intact. You mask identity, not substance. So the AI summarizes "one participant proposed following up with the client, approved by another" instead of "Marie proposed, Paul approved", which keeps the full logic of the discussion without stamping a name onto every line. You get a faithful set of minutes. Then you re-identify locally, if you want the real names back.

Safe-Doc masks the transcript before the AI. The layout is kept, processing stays in the European Union, then everything is purged. See the ChatGPT and GDPR at work guide.