Best Enterprise AI Meeting Assistants for 2026
At ten seats the questions are features and price. At a thousand they are SSO, retention policy, where the data lives, and whether your vendor is in litigation. Those are different shortlists.
Reviewed by Marcus Webb | Last updated August 2026
For enterprise deployment in 2026, Microsoft Teams Copilot and Fellow are the strongest cloud options — Copilot for organisations already standardised on Microsoft 365, Fellow for HIPAA-covered teams needing signed BAAs and SOC 2 Type II. Hedy leads where the data itself is the risk, since on-device processing on supported hardware removes the vendor-side copy that most enterprise reviews are trying to govern. Gong is the choice for large revenue organisations that need conversation intelligence rather than notes.
Enterprise procurement for meeting AI has changed shape over the past year, and the reason is that two of the biggest vendors in the category are now defendants. The questions that used to sit at the bottom of an evaluation — what is the training default, how long is data retained, who are the subprocessors, what happens if a regulator asks — have moved to the top, and the tools that scored well on feature checklists in 2024 do not all survive that reordering. Meanwhile per-seat economics that look fine at pilot scale become a very different conversation at a thousand users, particularly once platform fees and usage-based AI credits enter the picture.
Microsoft Teams Copilot
Built-InMicrosoft's native, agentic meeting AI built into Teams for the Microsoft 365 stack
A genuinely strong, agentic meeting assistant for Microsoft 365 shops, but it is cloud-only, locked to Teams meetings, and the real meeting AI sits behind a $30/user add-on.
Fellow
CloudPrivacy-forward AI meeting assistant with botless recording and an AI Chief of Staff
A privacy-forward AI meeting assistant that captures meetings without a bot and surfaces answers across all of them through its Ask Fellow agent.
Hedy
Editor's Pick On-DeviceAI meeting coach with full on-device AI and real-time intelligence
The only tool among the 28 we tested that can run its entire AI pipeline — transcription, summaries, and real-time coaching — on-device on supported hardware, making it the privacy and reliability leader for 2026.
Otter.ai
CloudReal-time transcription and agentic meeting AI for teams
A powerful, increasingly agentic cloud platform for teams who prioritize collaboration and live AI over on-device privacy.
Gong
CloudEnterprise revenue intelligence with the best consent tooling in the category and a price to match
The category's most capable revenue intelligence platform and, unexpectedly, its best consent implementation — priced so far above everything else that it only makes sense for large sales organisations.
Enterprise Readiness: How the Tools Compare
| Tool | Admin & compliance | Data posture | Entry cost |
|---|---|---|---|
| Microsoft Teams Copilot | Full M365 admin, SSO, SOC 2, HIPAA; native capture, no bot | Admin-configurable retention; tenant-bound | $30/user/mo add-on |
| Fellow | SSO, SOC 2 Type II, HIPAA with signed BAAs | No training (contractual); botless option | Free tier; from $7/mo |
| Hedy | SOC 2 Type I, HIPAA Business Associate assessment, BAAs offered | On-device on supported hardware; EU/US residency; no training | Free tier; from $12.99/mo |
| Otter.ai | SSO, SOC 2 Type II, broad admin controls | Trains by default unless opted out; active class action | Free tier; from $16.99/mo |
| Gong | SOC 2 Type II, ISO 27001/27701; best-in-class consent tooling | Cloud only; centralises all customer conversations | ~$108/user/mo + platform fee from $5,000 |
| Circleback | SOC 2 Type II, EU-U.S. DPF, HIPAA + BAAs on Enterprise | No training (stated); custom retention | No free tier; from $20.83/mo |
| Fireflies.ai | SSO, SOC 2 Type II, HIPAA on Enterprise | Biometric/voiceprint litigation ongoing | Free tier; from $10/mo |
What Actually Blocks an Enterprise Rollout
Legal exposure is now a procurement input. In August 2026 a federal judge allowed claims under the federal wiretap act, California's CIPA, and the Illinois Biometric Information Privacy Act to proceed against Otter.ai, holding at the pleading stage that plaintiffs had plausibly alleged a vendor which independently collects, retains, and uses meeting recordings for its own commercial purposes is a third-party eavesdropper rather than a neutral tool. Fireflies.ai faces separate biometric and voiceprint litigation. Neither is a finding of liability, and both tools remain widely deployed. But BIPA carries a private right of action with statutory damages, and any tool doing voiceprint-based speaker identification on Illinois residents now deserves a specific conversation with counsel before a large rollout.
The training default is the fastest way to fail a security review. A tool that uses customer conversations to improve its models is processing for a second purpose your participants never agreed to, and at enterprise scale that will surface. Otter and Granola both train by default unless someone changes the setting, which means every seat in a pilot trains the vendor's models until it is turned off. Granola's Enterprise tier is the only one where it is off from the start and enforceable centrally. Fellow, Circleback, and Hedy all commit contractually not to train on customer data. Ask for the commitment in the contract rather than on the marketing page, and check whether it survives a plan downgrade.
Native capture beats bots at scale. Microsoft began flagging unverified external bots in Teams and Google Meet started blocking third-party notetakers by default in 2026, which turned bot-based capture into an ongoing administrative burden — allowlists, lobby approvals, and support tickets when a recording silently fails. Teams Copilot avoids this entirely through first-party capture, which is a large part of its enterprise case even though it is Teams-only and has no offline capability. Bot-free device capture, as Hedy, Fellow's botless mode, and Circleback use, achieves the same result without locking you to one meeting platform.
Model the cost at real headcount. Per-seat pricing that reads cheaply at pilot scale can behave very differently at a thousand users, especially where a platform fee or usage-based credits sit on top. Gong is the clearest example: roughly $108 to $120 per seat per month, plus a platform fee starting around $5,000, plus the Gong Credits currency that meters agentic AI work, plus separately licensed modules. Independent analyses put real first-year cost near $3,300 to $4,000 per user. For a large sales organisation that can be excellent value. For general meeting notes it costs several times the next most expensive tool we rank.