Otter vs. Fireflies vs. Granola for construction: an honest comparison

What each one actually is

Otter

The longest-established of the three. Its bot joins Zoom, Teams and Google Meet from your calendar, transcribes live, and produces summaries and action items. Strong search across a transcript library. Widely used, heavily integrated.

Fireflies

Similar model — a bot that joins meetings — with more emphasis on CRM integration and team workflows. Speaker identification, topic tracking, and conversation analytics aimed at sales organizations.

Granola

Different design. It doesn't join as a participant; it listens through your computer's audio while you type your own notes, then merges what you wrote with what was said. The output feels like notes you took rather than a transcript, which is why people like it. Built for a laptop on a desk.

Where each breaks on a jobsite

	Otter	Fireflies	Granola
Joins video meetings	Yes	Yes	No — listens locally
Works on a cellular phone call	No	No	No
Needs a calendar invite	Typically	Typically	No
Works from a truck	No	No	No
Visible to other participants	Yes	Yes	No
Output shape	Transcript + summary	Transcript + analytics	Merged notes

The row that decides it for construction is the second one. A project manager's consequential conversations happen on cellular calls and standing on a slab. None of these three touch either.

The output problem

Even where they do capture a conversation — say your weekly OAC meeting on Teams — the output is shaped for a different kind of work.

Meeting notes are organized around topics discussed and decisions made. That's right for a product review. For construction you need a different shape: who owes what, by when, and what number was agreed.

"Discussed the glazing change and schedule implications" is a true summary and a useless one. "Dana approved CO-14 at $18,400; revised schedule due Monday 9/15; Nov 3 TCO cannot move" is what you need three weeks later when someone remembers it differently.

This isn't a criticism of the products. It's a mismatch between what they optimize for and what a job runs on.

The privacy question, which got sharper in 2026

All three are in active US privacy litigation. Otter faces a consolidated case in the Northern District of California where an August 2026 ruling let claims survive alleging its bot acted as "a third-party eavesdropper rather than a mere tool." Granola was sued in July 2026, with the complaint pointing to its own marketing promise that participants "won't know it's there." Fireflies faces Illinois biometric claims over voiceprints (Tool Directory).

Two threads run through all three complaints: participants weren't notified before recording, and meeting content fed model training by default.

For construction this matters more than for most industries, because the people in your conversations are outside your company — owners, subs, inspectors, homeowners. They never agreed to anything. Before adopting any tool in this category, ask directly whether customer content is used for model training and get the answer in writing.

When each one is actually the right choice

Pick Otter if a real portion of your week is scheduled video meetings and you want searchable transcripts across a team. Design and preconstruction roles fit this better than field roles.

Pick Fireflies if you're running a sales function with a CRM and want conversation data flowing into it. Genuinely good at that job.

Pick Granola if you work from a laptop, take your own notes, and want them sharpened rather than replaced. The best of the three for in-person meetings at a desk.

Pick none of them if your day is phone calls from a truck and conversations on a slab. You'd be buying a tool that captures your two weekly OAC meetings and misses every conversation where a commitment was actually made. That's the honest answer, and it's why meeting bots don't stick in construction.

What to ask any vendor in this category

Does it work on a normal phone call, with no calendar invite and no meeting link?
Does it work from a phone, outdoors, on bad signal?
Does the output separate who owes what by when, or just summarize topics?
Is customer content used to train models — yes or no, in writing?
Can specific contacts be permanently excluded from recording?
How long is data retained, and what happens at the end of that period?
How does it handle all-party consent states? (See our state guide.)

Question four is the one most vendors answer vaguely. Push until it's a yes or a no.

Common questions

What's the difference between Otter, Fireflies and Granola?

Otter and Fireflies join video meetings as bot participants and transcribe them, with Fireflies leaning harder into CRM integration and analytics. Granola doesn't join meetings — it listens through your computer's audio and merges what was said with notes you type yourself.

Can Otter or Fireflies transcribe a regular phone call?

Not a normal cellular call. Both work by joining video meetings on platforms like Zoom, Teams or Google Meet. A call on your carrier line has no meeting for a bot to join.

Which AI notetaker is best for construction?

None of the meeting-bot products fits field construction well, because they assume a scheduled video meeting on a computer and a project manager's consequential conversations happen on phone calls and on site. If a real share of your week genuinely is video meetings, Otter suits team transcript search and Granola suits desk-based in-person meetings.

Are Otter, Fireflies and Granola being sued?

All three face US privacy litigation as of 2026, with common allegations that participants were not notified before recording and that meeting content was used for AI training by default. An August 2026 ruling let claims proceed against Otter on a third-party eavesdropper theory.

What should I ask an AI notetaking vendor before buying?

Whether it works on phone calls without a calendar invite, whether it works from a phone outdoors, whether output separates commitments by owner and date, whether customer content trains their models, whether contacts can be permanently excluded, retention length and end-of-life handling, and how it handles all-party consent states.

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Litigation described here is ongoing and summarized from public reporting; nothing here is legal advice. Product capabilities change — verify current behavior with each vendor.