# Granola vs Fathom vs Fireflies: The 2026 Showdown

On May 20, 2026, a federal judge in San Jose hears Otter.ai's motion to dismiss a class action alleging its bot secretly recorded calls without consent. Eight weeks earlier, Granola closed a $125 million Series C at a $1.5 billion valuation. And in mid-May, Microsoft began rolling out Teams Bot Detection, a feature designed to auto-kick AI notetakers from corporate calls.

If you bought an AI notetaker in 2024, the ground under it has moved. The choice is no longer "which one has the prettiest summary." It is which one survives the privacy crackdown, which one your prospects will tolerate, and which one IT will actually approve. That is the real question behind every Granola vs Fathom vs Fireflies search query right now.

This is a neutral, scenario-based head-to-head. You will leave knowing exactly which tool fits your team in 2026 — and where each one quietly breaks.

The state of AI notetakers in 2026: bot, no-bot, and the lawsuit hanging over them

In 2024, every AI notetaker worked roughly the same way: a bot joins the call, records, and emails a summary. In 2026, that model is on fire.

Two lawsuits set the tone. Brewer v. Otter.ai targets Otter's "single-consent" model in two-party-consent states like California and Illinois. Cruz v. Fireflies.AI, filed under the Illinois Biometric Information Privacy Act (BIPA), alleges Fireflies harvested voiceprints without explicit consent. Universities including UW and Chapman have already issued blanket bans on bot-based notetakers.

That backdrop reshapes the Granola vs Fathom vs Fireflies decision. Three tools, three completely different bets:

The Atlassian State of Teams 2026 reports that 78% of knowledge workers say meeting overload makes real work hard, and 51% work overtime weekly because of it. Buyers want a notetaker that solves the meeting problem without becoming the next compliance one. Let's see how each contender performs.

Granola at a glance — the bot-free breakout

Granola is the headline-grabber of 2026 for one reason: it does not put a bot in your meeting. The macOS-first (Windows now in beta) app listens to your device audio, captures a transcript locally, and uses AI to expand whatever notes you typed into a structured recap.

The pitch lands with three audiences hardest:

Per YipitData, Granola's spend grew roughly 3x in 12 months while customers cancel Otter, Fathom, and Fireflies to switch to it — and rarely switch back. That's the data point Granola's $1.5B valuation is built on.

The downside: Granola's free plan caps at 25 lifetime meetings. Paid is $14/user/month (Pro) or $35/user/month (Business). It records what your machine hears, so two-sided audio quality depends on call setup. And the lack of a bot is also a coverage gap — if you are not on the call, Granola is not there either. For teams looking at Granola alternatives because of the macOS-first footprint, Fathom and Fireflies are the next stops.

Fathom at a glance — the unlimited-free Zoom whisperer

Fathom is the budget killer of AI notetakers. The free plan is genuinely useful: unlimited recordings, unlimited storage, AI summaries, action items, and CRM-light integrations.

Fathom started inside Zoom and is still strongest there, with Google Meet and Microsoft Teams support solid but secondary. The free tier exists because Fathom monetizes mid-market through paid plans starting at $24/user/month, which add Ask Fathom (chat with your meetings), team folders, and Zapier triggers.

Where Fathom wins:

The compromises matter. Fathom is bot-based, so it inherits the same consent concerns as Otter and Fireflies. Custom AI vocabularies (your product names, your acronyms) are weaker than enterprise tools — accuracy can drop to 80–85% on jargon-heavy calls, the same band Chorus and Otter sit in. And Fathom's pipeline-intelligence depth is shallower than Fireflies or Gong.

Fireflies at a glance — the CRM-native sales workhorse

Fireflies is the comparison's enterprise-leaning entry. It joins as a bot named "Fred," but the reason teams keep paying for it is the post-call workflow: Fireflies pushes structured summaries, custom fields, deal-risk flags, and action items into Salesforce, HubSpot, Pipedrive, Zoho, and 50+ other systems automatically.

Pricing is competitive: $10/user/month annual on the Pro plan, $19/user/month on Business, with a free tier capped at 800 minutes of total storage. The Business plan unlocks topic trackers, conversation intelligence, and unlimited transcription — the features that make Fireflies competitive with Gong at one-tenth the cost.

Where Fireflies wins:

The risk is now legal. Fireflies is named in an active BIPA suit and is one of the tools getting banned at universities and regulated enterprises. If your buyer-side legal team has any sensitivity, Fireflies's bot model is a hard conversation. Microsoft's incoming bot-detection feature in Teams adds friction too.

Head-to-head: pricing, privacy, accuracy, and where each one breaks

Below is the neutral, scenario-based decision matrix the SERP is missing. No vendor blog is going to publish a table this honest, so this is where Granola vs Fathom vs Fireflies actually gets decided.

Pricing and total cost of ownership

For a 25-person team, annual list pricing in 2026 looks like this:

Fireflies wins on raw cost. Fathom wins on free-tier value (if your team can live with limits). Granola is the most expensive but the only one where the price is buying privacy positioning, not features. Add the soft cost of legal review and BAAs, and Granola's premium narrows quickly in regulated industries.

Privacy, consent, and BIPA exposure

This is the dimension nobody talked about 18 months ago and everyone talks about now.

Coommit's own playbook here is to skip the third-party bot entirely. Our bot-free, consent-first AI notetaker keeps capture inside the same workspace as the call. For a deeper read on why this matters, see our breakdown of the AI notetaker compliance time bomb and why enterprises are banning AI notetakers in 2026.

Accuracy and summary quality

All three have improved meaningfully in 2026. In real-world testing, the spread is tighter than vendor claims suggest:

For more on what actually drives AI meeting summary accuracy — and where summaries silently hallucinate — the answer is almost always custom vocabulary, speaker diarization, and how the model handles tangents, not the underlying transcription model.

Integrations and where each ships work

The fastest way to fail with any AI notetaker is to pick the one with the cleanest summary and weakest integrations. Notes that live in a separate app get ignored.

If your meetings need to flow into a CRM pipeline, Fireflies is the practical choice. If they need to flow into a product spec or design doc, Granola fits cleaner. Fathom sits in the middle.

Which AI notetaker should your team pick in 2026?

Use this decision tree. It will get you 90% of the way there.

A final, contrarian note. HBR reported in April 2026 that 95% of organizations see zero ROI on AI initiatives — and field studies suggest AI is intensifying work, not lightening it. An AI notetaker that mostly clutters your inbox with summaries you never read is part of the problem, not the solution. The Granola vs Fathom vs Fireflies winner for your team is the one whose summaries actually reach the people who need them.

Picking right is the start. The real upgrade is moving meetings into a workspace where notes, decisions, and artifacts live together instead of getting trapped in another email. That's the design choice behind Coommit — and the reason we wrote our deep dive on why AI meeting agents will not replace meetings, only the parts that should never have been meetings in the first place.