Is Fellow worth it for regulated financial firms?

For private equity, hedge funds, investment banks, asset managers, fintechs, RIAs, and broker-dealers, the case is specific: botless recording, per-team recording policies, MNPI redaction across transcripts, summaries, and audio, and an exportable SEC Rule 17a-4 and FINRA exam-ready audit trail via the Compliance Portal and Super Admin API. Fellow also states it never trains AI models on your meeting data. If your meetings are supervised, that bundle is the product — not a bonus.

Does Fellow integrate with Salesforce and HubSpot?

Yes. Fellow documents CRM sync for Salesforce and HubSpot so meeting recaps and follow-ups flow into your CRM records without manual entry. Jira, Notion, Confluence, Monday.com, Asana, ClickUp, Linear, Glean, Slack, Zoom, Microsoft Teams, Google Meet, and Webex are also listed as integrations, letting meeting context move into the systems your team already works in.

How does Fellow compare to Otter.ai and Fireflies.ai?

Otter.ai and Fireflies.ai compete on speed of adoption and per-seat price for generic transcription. Fellow competes on governance: recording policies by team, role, or meeting type; independent retention windows for recordings versus AI summaries; zero-day retention; MNPI redaction; consent capture; password-protected recaps; and an exportable audit trail. If compliance signs off on your notetaker, Fellow has the deeper evidence trail. If you just want cheap transcripts, you are paying for controls you will not use.

What is the cheapest way to use Fellow?

Fellow publishes a free tier at $0 per user per month that includes 5 AI notes and recordings lifetime, basic meeting transcription, and limited integrations — enough to evaluate the capture experience but capped quickly. The paid Team plan is $7 per user per month billed annually and lifts that cap to unlimited AI notes and recordings. Because paid rates are annual-commitment rates, check the billing term before you commit a large team.

What are Fellow's biggest limitations?

Fellow is governed infrastructure, so it needs an admin owner: recording policies, retention windows, role-based permissions, and SSO/SCIM are all configuration work. Retention and access controls apply at the organization level, so the same policies protecting sensitive conversations also apply to routine meetings. Published paid rates are annual-commitment rates. And Fellow does not disclose which AI models it uses, so model-choice evaluation is not possible from published material.

Can Fellow replace Otter.ai for a compliance-heavy team?

It can, and in regulated settings it is the stronger fit — Otter.ai does not lead with per-team recording policies, independent retention windows for recordings versus summaries, MNPI redaction across transcripts and audio, or an exportable SEC Rule 17a-4 and FINRA exam-ready audit trail. For an individual who simply wants fast transcripts, Otter.ai is lighter. The switch is worth it when your compliance team is the one asking the questions.

How long does Fellow take to set up?

A single user can record a meeting and read the AI summary within minutes of connecting a calendar. Organization-wide setup is a different project: policies by team, role, or meeting type, independently configured retention windows, SSO and SCIM, and role-based permissions all need an admin owner. Budget days, not minutes, if you are rolling Fellow out to a regulated team.

Is Fellow good for recording in-person meetings?

Yes. Fellow's mobile app records in-person conversations and stores them under the same recording policies, retention windows, and access controls as your Zoom, Microsoft Teams, Google Meet, and Webex calls. That matters for advisors and deal teams whose most sensitive discussions happen across a table rather than on a video call, where most notetakers capture nothing at all.

How do I migrate from Otter.ai or Fireflies.ai to Fellow?

There is no transcript import path described, so plan to treat it as a re-platform rather than a data move. Map your existing retention and access expectations onto Fellow's per-team recording policies, wire SSO/SCIM, and roll out to one team and one meeting type first so the audit trail populates before the whole firm depends on it. Note that Fellow's governance features do not travel back out if you reverse the decision.

Does Fellow use my meeting data to train AI models?

No. Fellow states on its homepage that it does not use your meeting data to train AI models — and specifically that your data is not used to train the models of Fellow's AI providers either. It also reports SOC 2 Type II, GDPR, HIPAA, and CCPA readiness, with a BAA available, which is the combination legal teams typically ask for before approving a notetaker.

Meeting Assistants & Notetakers

Fellow

AI meeting notetaker with botless recording, governed retention policies, and an exportable audit trail for regulated teams.

76/100Safe BetFree · from $7/user/month billed annuallyFreemium

If your meetings fall under SEC recordkeeping, FINRA supervision, or internal compliance review, Fellow belongs on your shortlist. Botless recording, per-team policies, independent retention windows, MNPI redaction, and a Compliance Portal audit trail are aimed at regulated work Otter and Fireflies treat as secondary. The trade-off is weight — this is infrastructure your admins run, not a set-and-forget app.

Verified 1d ago · liveness 76/100 · cite: rightaichoice.com/tools/fellow

Best for

Private equity, hedge funds, investment banks, and asset managers under SEC and FINRA recordkeeping rules
Enterprises needing centralized meeting governance, retention policy, and exportable audit trails
Compliance, legal, and HR teams handling privileged or MNPI-sensitive conversations
Organizations with a strict no-training-on-our-data requirement across all plans

Not ideal for

Solo users and freelancers who want a lightweight, low-friction notetaker
Teams without a designated admin to own the governance console and permissions
Buyers who want zero policy or retention configuration

Visit Website

Beginner-friendlyFor a single user, recording your first meeting and getting a summary takes minutes — install the calendar integration, start a recording, and read the recap. For an organization, budget real admin time: policy design by team and role, retention windows, SSO/SCIM wiring, and role-based permissions all need an owner before the governance story is true.Web · Mobile · API · PluginAPI available6.9k viewsVerified 1d ago

Pricing

Free · from $7/user/month billed annually

FreemiumFree tier4 plans

Learning curve

Beginner-friendly

For a single user, recording your first meeting and getting a summary takes minutes — install the calendar integration, start a recording, and read the recap. For an organization, budget real admin time: policy design by team and role, retention windows, SSO/SCIM wiring, and role-based permissions all need an owner before the governance story is true.

Runs on

WebMobileAPIPlugin

API available · 15 integrations

Who it's for

Compliance officer at a broker-dealerInvestment committee associate at a private equity firmWealth advisor meeting clients in person

Live sentiment

Is Fellow actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

Honest verdict, not marketing
Real pros & cons from real users
Attributed quotes with receipts

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Skip it if

Skip Fellow if nobody on your team will own the governance console — recording policies, retention windows, and SSO/SCIM only pay off when an admin actually configures them.

The 30-second take

Price reality

Fellow sits in the mid-to-upper band of AI notetakers once you leave the free tier, and the paid rates published are annual-commitment rates. Below it, Otter.ai and Fireflies.ai compete hard on per-seat price for teams that only want transcripts. Above it, enterprise meeting-intelligence platforms bundle governance into broader compliance suites. Fellow's case is that MNPI redaction, independent retention windows, and an exportable audit trail are in the product rather than an add-on.

In short

Fellow — AI meeting notetaker with botless recording, governed retention policies, and an exportable audit trail for regulated teams. Best for Private equity, hedge funds, investment banks, and asset managers under SEC and FINRA recordkeeping rules, Enterprises needing centralized meeting governance, retention policy, and exportable audit trails, Compliance, legal, and HR teams handling privileged or MNPI-sensitive conversations. Free to start; paid plans from $7/user/mo.

No head-to-head comparison for Fellow yet — the alternatives below are the closest matches we list.

What people actually say about Fellow — is it worth it?

We scanned public community sources for Fellow on Aug 18, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.

Viability Score

76/100

Safe Bet

How well maintained and how widely used is Fellow? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity

not measured

Traction

100

Site health

identity move

not measured

User sentiment

What the vendor publishes

Last calculated: October 2026

How we score →

Key Features

AI meeting transcription and summaries on Zoom, Microsoft Teams, Google Meet, Webex, and Slack huddles
Botless recording from desktop and mobile apps without a bot joining the call
Mobile app to record in-person meetings
Organization-wide recording policies by team, role, or meeting type
Pause and resume recording; paused segments removed from transcript and notes
Configurable retention policies including zero-day retention
Independent retention windows for recordings/transcripts versus AI summaries
MNPI redaction from transcripts, summaries, and audio
Consent capture to notify participants before recording begins
Password-protected meeting recaps
SSO, SCIM, and role-based permissions
Compliance Portal with exportable audit trail and Super Admin API
Ask Fellow AI agent for querying past meetings and drafting follow-ups
MCP server connecting meeting intelligence to Claude and other AI tools
Global Relay integration for compliant archiving

About Fellow

FreemiumBeginner-friendlyAPI availableWeb · Mobile · API · Plugin

Fellow is an AI meeting assistant that records, transcribes, and summarizes meetings on Zoom, Microsoft Teams, Google Meet, Webex, Slack huddles, and in person. It captures audio through its desktop and mobile apps, so no bot joins the call and no uninvited participant appears on the screen — meeting notes get captured either with a bot, botless, or by phone for face-to-face conversations. The features that matter to compliance-minded buyers are unusual for this category. Admins set recording policies by team, role, or meeting type. Users can pause and resume recording mid-meeting, and paused segments are removed from the transcript and notes entirely, not just hidden. Retention is configurable per data type, including a zero-day option that drops recordings and transcripts at the end of the meeting while keeping the summary, decisions, and action items. MNPI can be redacted from transcripts, summaries, and audio, and every deletion and access event is written to an exportable audit trail via the Compliance Portal and Super Admin API. You also get consent capture, password-protected recaps, SSO, SCIM, role-based permissions, and an AI analytics dashboard for admins. Fellow's AI features — Ask Fellow for querying past meetings, summaries with generated action items, agentic prep and follow-up workflows — connect to Claude and other tools through an MCP server, and meeting context syncs to Salesforce, HubSpot, and project tools. Fellow states it never trains AI models on your meeting data, its own or its providers', and it reports SOC 2 Type II, GDPR, HIPAA, and CCPA readiness with a BAA available. It reports 5,000+ teams, with real traction in private equity, hedge funds, investment banks, asset managers, fintechs, RIAs, and broker-dealers. Where a general-purpose notetaker treats governance as an add-on, Fellow makes it the product — which is why it costs more admin effort than a cheap transcript tool.

Behind the Verdict

Who should pick this: any firm where a meeting can contain material non-public information — private equity, hedge funds, investment banking, asset management, broker-dealers, RIAs — and where compliance needs to prove what was recorded, who accessed it, and when it was deleted. Fellow answers those questions in-product. The zero-day retention logic is genuinely thoughtful: drop the recording and transcript, keep the decisions and action items. That's the right shape for teams that need meeting notes but can't warehouse raw audio. When to pass. If you're a freelancer or a small team with no designated admin, the governance console is overhead you'll never touch. If all you want is a cheap transcript and a summary, this is more product than you need. And if you can't designate one person to own policies, permissions, and retention rules, the setup will drift. Where it bites in practice. Configurable retention and redaction are only as good as the rules you write; get the scope wrong and you'll either retain too much or erase evidence you needed. Pause-and-resume is a strong control, but it depends on users actually hitting pause — training matters more here than with a normal notetaker. The audit trail is exportable, which is the point, but plan for someone to read it. Closest alternative. Otter and Fireflies are cheaper and easier to start with and will get you a transcript fast. They don't put recording policy, redaction, and an exam-ready audit trail in front of compliance. If that's a must-have, the gap justifies the price and the setup. If it isn't, don't buy governance you won't operate. Recap access controls deserve a mention for M&A and legal teams: password-protected recaps and restricted views mean a sensitive conversation's summary doesn't travel with the

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Real-world workflow fit

Concrete scenarios for the personas Fellow actually fits — and what changes day-one when you adopt it.

Compliance officer at a broker-dealer

You configure organization-wide recording policies by role, set zero-day retention for recordings while keeping AI summaries, enable MNPI redaction, and review the Compliance Portal audit trail before an exam.

Outcome: Every deletion and access event is logged to an exportable, SEC Rule 17a-4 and FINRA exam-ready trail you can hand to an examiner without a scramble.

Investment committee associate at a private equity firm

You join a Zoom IC meeting with consent capture enabled, pause recording during a sensitive personnel discussion, then pull the AI summary and action items into the deal record in Salesforce.

Outcome: The recording and summary are stored under your firm's policies, and the CRM reflects the decisions and follow-ups without manual note-taking.

Wealth advisor meeting clients in person

You record the conversation from the Fellow mobile app, let it transcribe and summarize, and share a password-protected recap with the client.

Outcome: In-person meetings are captured under the same retention and access policies as video calls, closing the gap where most notetakers leave no record at all.

Use Cases

Limitations

Fellow is built as governed infrastructure, so the value depends on an organization actually configuring it: recording policies, retention windows, role-based permissions, and SSO/SCIM are all admin work.
Teams with no one to own that console will not get the benefit.
The published paid rates are annual-commitment rates, so monthly flexibility is not the baseline.
Retention and access controls apply at the organization level, which means the same policies that protect sensitive conversations also apply to routine ones.
Fellow does not disclose which underlying AI models it uses, so buyers evaluating model choice will not find that detail published.

as of 2026-10-14

Verification history

We have re-verified Fellow 17 times since Jun 3, 2026. Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

Oct 20, 2026 — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Sep 14, 2026 — re-checked, vendor evidence unchanged
Aug 29, 2026 — re-checked, vendor evidence unchanged
Aug 14, 2026 — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Aug 5, 2026 — re-checked, vendor evidence unchanged
Jul 30, 2026 — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 17 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Plan

Annual total

Free

Over 12 months, per user

Effective monthly

Free

Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Where the pricing makes sense

The company stage and team size where Fellow's pricing actually pencils out — and where peers do it cheaper.

Setup time & first value

How long it actually takes to get something useful out of Fellow — broken out by persona, not the marketing-page minute.

Switching to or from Fellow

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in

→From Otter.ai: map your existing recording and retention expectations onto Fellow's per-team policies, then re-record — existing Otter transcripts do not import into Fellow's governance model.
→From Fireflies.ai: rebuild any shared notetaker settings as Fellow recording policies by team, role, or meeting type rather than per-user defaults.
→From manual note-taking: start with one team and one meeting type, enable consent capture, and expand policies once the audit trail is populated.

Migrating out

↗To Otter.ai or Fireflies.ai: per-team recording policies, independent retention windows, and MNPI redaction do not travel with you — expect to rebuild governance outside the notetaker.
↗To a general-purpose document or CRM: export meeting summaries and action items before you lose access, since the audit trail lives in Fellow's Compliance Portal.

Integrations

ZoomMicrosoft TeamsGoogle MeetWebexSlackSalesforceHubSpot Jira Notion Asana ClickUp Linear Monday.comGitHubZapier

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Fellow”, and we withheld 6: 6 could not be judged, because “Fellow” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Fellow.