What consultants should compare in an AI meeting tool

Which AI tools do consultants actually need for meetings?

A meeting tool's job is a reliable transcript plus a first draft of the notes you will turn into a deliverable. Research assistants, slide generators and proposal writers are separate categories, even though most 'AI tools for consultants' roundups lump them together. If your meeting notes feed billable output — workshop write-ups, interview syntheses, steering-committee minutes, recommendations decks — the meeting tool is the upstream source for all of it, and it deserves its own evaluation.

That evaluation comes down to four criteria: capture, editability, output and data handling. Tools differ sharply on each. Notta, for example, covers all three capture modes (meeting bot, desktop app and the Memo hardware recorder for in-person meetings) and exports TXT, DOCX, PDF and SRT with custom templates, while Fathom's free plan has no direct transcript file download at all. The rest of this guide walks through the four criteria in priority order, with the facts you need to compare tools yourself.

Can the tool capture your clients' meetings?

Before anything else, the tool has to be able to record the meeting. That sounds obvious, but it is where most shortlists fail. Some clients block meeting bots on their platform; some engagements involve in-person workshops or phone calls rather than a scheduled Teams or Zoom link. A tool that only works as a bot on Google Meet is useless for a client that runs everything on Teams with bots disabled.

Check three capture paths: a bot that joins calls on your clients' platforms, a bot-free option for when bots are blocked or unwelcome, and in-person or phone capture for workshops, site visits and calls taken on a mobile. Notta is one of the few tools that covers all three — a meeting bot for scheduled calls, a desktop app for bot-free capture, and the Memo hardware recorder for in-person meetings. Otter and Fireflies are primarily bot-based, and Granola works as an on-device notepad that keeps no audio at all, which suits private note-taking but not full transcripts of every client conversation.

The criteria table below summarises what to check across all four criteria before you go deeper on any one tool.

If you are still deciding between a meeting bot and a bot-free recorder, see our guide to meeting bots versus bot-free recorders for consultants, and for recording online calls, phone calls and in-person meetings in one setup, see how agencies record client meetings.

Can you check and edit the AI notes before the client sees them?

AI meeting notes are a first draft, not a deliverable. Independent testing of adviser-facing notetakers (the Oasis Group study, analysed by Kitces.com) found key data points were 85-96% accurate but action items only 62-87% accurate — exactly the category that matters most in a client write-up. Any tool you pay for must let you verify and correct the AI's claims before they reach a client.

Three features determine this. First, transcript editing: can you fix a misheard client name or product term at the source? Second, editable AI notes: can you restructure the summary itself, not just the transcript? Third, timestamped links: when you click a bullet in the summary, does it jump to the right moment in the transcript so you can check what was actually said? Notta links answers to clickable timestamps for audio under 90 minutes, and Otter provides speaker and timestamp references.

Be honest about the trade-offs here. In manual testing of AI-note editing — a separate test from transcript editing, where Notta scored highest in our hands-on review (see the N24 best-of page) — Notta's edit-and-preview experience for AI notes scored 2 out of 5, behind Fireflies and tl;dv (both 4), Otter, MeetGeek and Granola (3). If your workflow depends on heavy in-app editing of AI notes, Fireflies currently has the stronger editing experience, and our picks for tools that let you review notes before sharing are in the N24 best-of page. The practical workaround for Notta users is to export the notes to DOCX and edit in Word — which is where most consultants finish deliverables anyway, and where Notta's export quality is the point.

Does it produce the documents you hand over?

This is the criterion that separates meeting tools for consultants from generic note takers. You are not sharing a transcript; you are producing a two-page workshop summary, a findings document, a set of steering-committee minutes. The tool needs custom templates you can reuse across an engagement, structured outputs like reports and executive summaries, and clean DOCX or PDF export that preserves speaker labels and formatting.

On current documentation, Notta and Otter are the strongest examples here. Notta exports TXT, DOCX, PDF and SRT, generates reports, executive summaries, tables and Word outputs, and supports five custom templates on its Pro plan with unlimited templates on Business — enough to build a standard workshop-summary or minutes template per client. Otter exports PDF, DOCX and SRT on paid plans with templates and workflows by plan, but caps Pro conversations at 90 minutes, which is tight for a half-day workshop. Fireflies builds structured outputs through its AI Skills, with downloads on paid tiers. Fathom is the cautionary example: its free plan is generous with unlimited recordings, but the transcript is clipboard copy only, with no direct file download, so you are pasting into Word and reformatting by hand.

For a fuller comparison of tools that turn meeting notes into client-ready reports, see our N19 best-of page.

Can it work across a whole engagement?

A single meeting is one input; an engagement is dozens. Check whether the tool supports folders or workspaces per client, so one client's material never leaks into another's search results, and whether you can search and chat across past meetings — 'what did the steering committee decide about the rollout timeline in March?' is a question you will ask in week nine, not week one.

Cross-meeting search and AI chat over a client's meeting history is where dedicated tools pull ahead of built-in meeting summaries. Notta, Otter, Fireflies and Sembly all offer some form of cross-meeting search or chat; Sembly additionally generates proposals, briefs and reports and tracks decisions and risks across a project. For our picks for analysing multiple client meetings, see the N23 best-of page.

What happens to your client's data?

Your client's confidentiality obligations become your vendor's obligations. Three things to read before paying: whether the vendor trains its models on your recordings, what retention controls you have, and whether sharing links can be password-protected.

The differences are material. Otter's privacy policy states a purpose of 'training our proprietary AI technology on de-identified audio recordings and on transcriptions (which may contain Personal Information)' — a 2025 lawsuit analysed by Kilpatrick Townsend highlights why 'de-identified' can still matter to clients. Fireflies' feature matrix states zero data retention and no use for AI training (confirm on its security page before relying on this). Granola's free and Business plans may train on anonymised data unless you opt out, and Fathom says de-identified data may improve its models. Notta promises no data training on its Enterprise plan and supports password-protected sharing links, so a client deliverable does not circulate beyond its intended recipients.

For the wider risk checklist — consent, client rules, staff turnover — see our AI note taker checklist for agencies, and for transcribing confidential meetings without uploading audio at all, see our guide to on-device transcription.

What does it cost for the people who need it?

Price only matters per seat for the people who actually need the tool. Notta's Pro plan is $8.17 per month billed annually ($97.99 per year) with Business at $16.67 per seat per month ($199.99 per year); Otter Pro is $8.33 per user per month annually; Fireflies Pro is $10 per seat per month; Fathom's free plan is genuinely usable if clipboard-copy transcripts are enough. Note the caps that matter for consulting work: Otter Pro limits conversations to 90 minutes, and Microsoft 365 Copilot — which can turn Teams recaps into Word and PowerPoint — requires a Copilot or Teams Premium licence at $18 per user per month on promotion ($21 standard). For the full team-cost comparison, see our guide to the real team cost of AI meeting tools.

How do you test a shortlist in a week?

Take one consented 45-minute workshop recording and one real scheduled meeting, and run the same five-step trial in each tool on your shortlist:

• Day 1: Upload the recording and join the live meeting with each tool. Check capture works on your clients' actual platform.
• Day 2: Build the same workshop-summary template in each tool — heading structure, sections, speaker labels.
• Day 3: Export to DOCX and compare formatting, speaker labels and timestamps side by side.
• Day 4: Edit one AI-generated decision in each tool and confirm the edit survives export and sharing.
• Day 5: Click three summary bullets in each tool and check whether they jump to the right place in the transcript; then open each tool's data-training setting and record the default and whether a solo user can opt out.

Score each tool on the four criteria in the order they appear in this guide. A tool that captures everything but exports badly will cost you more hours over an engagement than a tool with a slightly rougher editing experience but clean DOCX output — which is why, for consultants whose notes become billable documents, Notta's export formats, custom templates and Enterprise no-training commitment make it the first tool to put through this trial.