AI Meeting Notetakers: Check the Retention Window, Not the Minutes

Meeting notetakers are compared on transcription accuracy, integration counts, and monthly minutes. All three matter less than a number that appears in a footnote: how long the recording and transcript are kept.

Retention is the clause that decides whether the product is useful in month six or only in month one, and it is the one nobody discovers until they search for something that is no longer there.

Why retention is the real decision

The value of a meeting notetaker is not the summary. The summary is a convenience you could get from the recording. The value is the searchable archive — being able to find what a client said about pricing in February, or confirm what was agreed in a call three people remember differently.

That value only exists if the archive survives. And archives are expensive to store, so vendors delete them.

The patterns vary:

• Unlimited retention on free tiers. One or two tools do this, deliberately, because storage is cheap relative to what they charge teams.
• Time-based deletion. Thirty days, ninety days, one year. After that the transcript is gone and so is the recording.
• Tiered retention. Free keeps 30 days, entry keeps 90, and the tier you actually need keeps a year.
• Storage caps rather than time caps. You keep everything until you hit a gigabyte limit, then the oldest go.

A tool with excellent transcription and 30-day retention is a note-taking tool. A tool with average transcription and unlimited retention is an institutional memory. For most teams the second is worth more.

What to check, in order

1. Retention on the tier you can afford. Not the enterprise tier. The number that applies to you today.

2. What happens at the boundary. Does the transcript go and the summary stay? Does the recording go and the transcript stay? These are different products after deletion, and the difference matters — a transcript without the audio is often enough, but a summary without either is useless.

3. Whether you can export before deletion. Some tools let you bulk-export to your own storage, which converts a retention limit into a workflow. If they do, the limit matters much less.

4. Whether deletion is reversible. Some keep a grace period; some do not. Ask, because "we deleted it" and "we deleted it thirty days ago" are very different situations.

5. Retention of the *action items*, not the meeting. If the tasks survive even after the transcript goes, the operational value persists.

The transcription accuracy question, honestly

Accuracy claims are marketing. The number that varies is not overall accuracy — most tools are in the high nineties on clean audio — but performance on the things that break it:

• Multiple speakers with similar voices. Diarisation errors are common and they make a transcript unusable for attribution.
• Accents and non-native speakers. Varies widely, and the vendors demo native speakers.
• Domain vocabulary. Product names, acronyms, and jargon get mangled, and the error is invisible unless you know the domain.
• Crosstalk. Two people talking over each other defeats most systems, and meetings have a lot of crosstalk.

Test with your own meeting, not the vendor's sample. Record a real call, run it through the trial, and read the transcript for the parts you remember. The failures will be obvious and they will be specific to your environment.

The bot-in-the-call problem

Most notetakers join as a visible participant. This has consequences that are easy to underestimate:

• Consent and disclosure. In several jurisdictions, recording requires the consent of all parties. A bot joining silently is a legal problem, and a bot joining with an announcement changes the meeting.
• Client-facing calls. Some clients will not accept a bot in a sales call, and some will assume it is recording when it is not.
• Internal candour. People speak differently when they know a transcript exists. This is not a tool problem but it is a real consequence of deploying one.

Tools that record locally without a bot joining avoid most of this and usually cost more or need more setup. If you run client-facing calls, check this before rollout.

What the summary should contain

The generic summary — "the team discussed pricing and agreed to follow up" — is worthless. The useful summary extracts:

• Decisions, with who made them.
• Action items, with owners and dates.
• Open questions that were not resolved.
• Anything that contradicts a previous meeting, which is the highest-value and rarest feature.

Most tools do the first two. A few do all four. If you are choosing between tools with similar transcription, the extraction quality is the differentiator — and the only way to test it is to run a real meeting through the trial and read the output.

The decision, compressed

1. Retention window on your tier — first, because it decides whether the product has value in month six.
2. Export before deletion — if available, the retention limit stops mattering.
3. Diarisation on your actual meetings — test with a real call, not a demo.
4. Bot visibility and consent — a legal and client-relations question, not a feature question.
5. Extraction quality — decisions and open questions, not a generic paragraph.
6. Monthly minutes — last, because most teams are nowhere near the cap.

Minutes are the number vendors compete on because it is easy to advertise. Retention is the number that determines whether you still have the transcript when you need it.

For tool-by-tool detail, the AI meeting tools reviews record the retention window and whether the free tier keeps recordings indefinitely. Fireflies vs tl;dv compares those two on retention and per-seat cost specifically, which is where the real difference is.