AI Meeting Note Tools: What to Check First

Informing participants and consent

Recording a conversation you take part in is generally not a crime in Sweden, but it is still processing of personal data under GDPR. A voice, the things people say and the names in a transcript are personal data. You need a legal basis, usually legitimate interest for internal meetings, and you must inform people clearly before it happens. A bot quietly appearing in the participant list is not information.

• Write in the invitation that the meeting will be recorded and summarised by an AI tool, and which one.
• Say it again when the meeting starts, and make it easy to switch recording off for the meeting or for a sensitive part of it.
• Do not rely on legitimate interest when the meeting involves health, union matters or other sensitive data. Then do not record.

Where recordings and transcripts are stored

The storage question has three parts: where the data sits, who processes it, and whether the vendor may use it to improve its own models. Tools built into Microsoft 365 or Google Workspace usually follow your existing tenant settings and agreements. Standalone note-takers often store data in their own cloud, sometimes outside the EU, and some have consumer terms that allow training on your content.

Who can access and share them

Many tools default to sharing the recording and summary with every participant, sometimes including external guests, and some send summaries to everyone on the invitation. That can put a client's confidential numbers into the inbox of someone who was only invited as a courtesy. Check the defaults for sharing, link access and automatic emails, and restrict them.

1. Limit transcript access to the meeting organiser by default.
2. Disable automatic sending of summaries to external participants.
3. Require sign-in for shared links; no public links.
4. Set a retention period, for example deleting recordings after the minutes are approved.
5. Make sure access requests and deletion requests from participants can actually be answered.

These rules belong in your internal AI policy; our guide to an AI usage policy for staff shows how to write one people will follow.

Accuracy and correcting mistakes

Transcription works well for clear speech in a quiet room and less well for Swedish dialects, cross-talk, names and industry terms. The summary is a language model's interpretation of the transcript and can attribute a statement to the wrong person or turn a 'maybe' into a decision. GDPR gives people the right to have inaccurate data about them corrected, and in practice a wrong summary sent to a client is a business problem long before it is a legal one.

The workable routine: the organiser reads and edits the summary before it goes anywhere, decisions and action points are confirmed in writing, and the raw transcript is not treated as the official record.

Client meetings vs internal meetings

Internal meetings are the easy case: your staff, your policy, your information. Client meetings bring in the client's personal data, their confidential business information and sometimes professional secrecy, as for lawyers, accountants and healthcare. Ask the client before recording, and accept a no without discussion. Some clients will have their own rules forbidding it.

When you do not need an audit: if you use the note-taker built into your existing Microsoft 365 or Google Workspace, have read its settings and only record internal meetings, you can manage this yourselves with the checklist above. An AI integration audit is useful when you are choosing between tools, handling client or sensitive data, or rolling AI out across more workflows than meetings. If that is you, book a short call.

Frequently asked questions