Fellow AI

Most AI notetakers do the same core job: a bot joins your call, transcribes it, and emails a summary. Fellow does that too, but it aims at a harder problem — doing it in a way a security or compliance team will actually approve. It's the only major AI meeting assistant built from the ground up around privacy, access control, and data governance. That's why it shows up in regulated worlds like financial services, healthcare, and legal — not only startups.

The useful mental model: Fellow is the AI meeting assistant for organizations, not just for one person. It records and summarizes like any notetaker, then adds a permissioned library, admin recording policies, transcript redaction, retention controls, and exam-ready audit logs on top. It also keeps the meeting-productivity roots it started with — collaborative agendas, one-on-one tools, and action items — so it spans preparing for a meeting, running it, and acting on it afterward.

Getting started is a calendar connection away. You sign up, connect Google or Microsoft calendar, and Fellow can join your meetings automatically — or you invite it per call. When it joins a remote meeting, it announces that recording is happening and asks to be admitted, so everyone on the call knows. Prefer no bot? The desktop app records natively on Mac and Windows with nothing visibly joining.

During the meeting you can lean on a shared agenda and take collaborative notes. Afterward, Fellow produces a transcript, an AI summary, and a list of action items, all saved to a central library. From there you ask questions of it in plain language, push action items to your task tools, or let it update your CRM. The point is that you stop typing notes and start leaving meetings with the decisions and next steps already captured.

Four videos from Fellow's own YouTube channel, each with a short summary so you can scan what it covers before pressing play. They range from the Fellow 5.0 launch to a full product demo, the new interface, and a recordings workshop.

Plenty of tools bolt security onto a consumer notetaker. Fellow inverts that. Its headline claim — "the only AI meeting assistant built from the ground up with privacy and security in mind" — is the whole product thesis. And it shows up in concrete features, not a trust badge.

Your data isn't training anyone's model. Fellow never trains AI on your meeting data, full stop. For legal, finance, and healthcare teams, that single fact is often the difference between approved and blocked.

Admins actually control it. Recording policies, information barriers between business units, transcript redaction for names and sensitive numbers, configurable and Zero-Day retention, and an exportable audit trail via a Super Admin API. That's governance built for an exam, not just a settings page.

Access is need-to-know by default. Recordings and notes are visible only to internal attendees unless someone deliberately shares them, and every share is logged. One-on-ones and leadership discussions stay private with no setup.

Fellow works as an AI note taker two ways, so it captures meetings wherever they happen. On desktop, the Mac and Windows apps record, transcribe, and summarize your calls — including botless, with nothing joining the meeting. On mobile, the iOS and Android mobile apps turn your phone into an in-person note taker: start a recording in a room or on a call and Fellow handles the transcript, summary, and accurate meeting notes with action items automatically.

Either way, everything syncs to one account and one central notes library, so a meeting you captured on your phone shows up next to the ones recorded on your laptop. For a distributed team, that means one AI note taker across desktop and mobile instead of a different tool for each.

AskFellow is Fellow's AI meeting agent — think of it as an AI Chief of Staff for everything that gets said in your meetings. Ask it a plain-language question across any meeting you have access to ("what did we decide about the Q3 launch?") and it answers from the transcripts, then does the follow-through work for you.

The result is that everything discussed becomes searchable, and the busywork after a meeting — the memo, the follow-up email, the CRM update — is drafted for you instead of sitting on your to-do list.

Most AI notetakers require a bot to join the call — a visible meeting bot in the attendee list. Fellow supports that, but it also does botless recording, with nothing joining the meeting. You choose per meeting, and both run under the same security and governance.

Why it matters: some organizations don't allow third-party bots into calls at all, and some client or external meetings look more professional without a visible bot in the room. Because both bot and botless capture run inside the same enterprise security governance framework, IT keeps control either way.

This is where Fellow separates itself from consumer notetakers, and it's the reason to choose it. Fellow is SOC 2 Type II, HIPAA, and GDPR compliant, with a public Trust Center. For regulated finance specifically — investment banks, private equity firms, hedge funds, RIAs, broker-dealers — it's built around SEC recordkeeping, FINRA supervision, and internal compliance review.

For healthcare and legal teams the same governance applies, with HIPAA/BAA available on the Enterprise plan. It never trains on your data, adds these privacy controls, and documents its privacy practices in a public Trust Center. That's the layer that turns "a notetaker" into "a notetaker your risk team signed off on."

Fellow connects to over 50 tools so meeting output flows into the rest of your team workflow instead of sitting in a silo.

Availability rises with the plan: project-management tools from Team, Salesforce and HubSpot from Business, and SSO and HRIS on Enterprise.

Two integrations are worth calling out for technical teams. The Claude connector lets you pull meeting context into Claude. The MCP server exposes Fellow's meeting data over the Model Context Protocol, so you can wire meetings into AI tools and automated workflows. Ask an assistant something like "what were the action items from yesterday's sales meeting?" and it answers from Fellow. Together with API access, they turn Fellow's recordings into a data source other systems can build on.

Platforms: a web app, desktop apps for Mac and Windows (botless native recording), and iOS and Android apps (in-person recording), all synced to one account. Meeting platforms: Zoom, Google Meet, Microsoft Teams, Webex, Slack huddles, phone, and in person. Languages: transcription in 90+ languages (listed as 99 on the pricing feature list), with speaker identification.

Infrastructure & extensibility: hosted on AWS with enterprise-grade encryption, and — crucially — AI is never trained on customer data. Developers get API access from the Team plan, a Super Admin API for audit and governance, a Claude connector, and an MCP server.

Fellow holds a 4.7 out of 5 across 2,429 reviews on G2, in the Meeting Management category, and carries G2's Enterprise, Mid-Market, and Momentum Leader badges. It's also rated on Capterra, GetApp, and Software Advice.

Fellow is priced per user, with a free-forever plan and a 14-day trial of the paid features. Annual billing is cheaper than monthly.

For basic use it's light: connect a calendar, let Fellow join, and read the summary afterward. The depth — and some of the initial setup — comes from the governance side. Recording policies, permissions, redaction rules, retention settings, and integrations are what an admin configures, and getting those right for a regulated org takes some thought.

Fellow accounts for that: Enterprise includes an onboarding program and a dedicated account manager for exactly this kind of rollout. Individual note-takers are productive on day one; administrators invest more upfront to set the guardrails.

Being honest about fit is what makes a recommendation worth trusting. Here's when another tool will serve you better.

This review was researched and written by the TechScribe editorial team. Our assessment is based on Fellow's own product, documentation, and live pricing, combined with verified user feedback from G2 (4.7 out of 5 across 2,429 reviews) at the time of writing. Where Fellow has real limitations — a capped free plan, connectivity edge cases, and task-management friction — we say so plainly, and we update this page as Fellow's features and pricing change.

TechScribe publishes hands-on, no-hype reviews of AI and business tools. This page may contain affiliate links: if you sign up through them, we may earn a commission at no extra cost to you — which never affects our rating or what we recommend.