Fellow AI Review 2026: Meeting Notes, Security & Pricing
A research-based review of Fellow's capabilities, economics, data boundaries, and operational fit.
Bottom line
Fellow records, transcribes, summarizes, and searches meetings while adding agendas, action items, consent capture, retention controls, integrations, and organization-wide governance.
Editorial accountability
Who checked this guide
- Evaluation type
- Hands-on evaluation
- Last materially checked
- Evidence
- 4 listed sources
Hands-on testing is identified explicitly. Research-based coverage uses cited product documentation and other named sources; it does not imply every paid plan was used. Read the full methodology.
Editorial freshness
Pricing and material product claims were checked September 23, 2026.
Review evidence
What this guidance is based on
- Review type
- Research-based product assessment
- Material review date
- September 23, 2026
- Evidence
- First-party product, pricing, documentation, privacy, and security material
- Buyer test
- Controlled quality, cost, permissions, and failure-path evaluation
Important limits
- • DiscoverAI did not complete a long-term paid deployment.
- • Features, prices, limits, and data practices can change.
In this guide
Short answer
Fellow is strongest when a company wants one governed meeting-intelligence layer rather than a patchwork of personal note takers. Its value depends less on transcript volume than on decision capture, action follow-through, search precision, and policy consistency. Sensitive teams should verify consent, access, retention, redaction, model-provider, and deletion behavior before standardizing.
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Best for
- Teams standardizing meeting capture across Zoom, Meet, Teams, and in-person conversations
- Organizations that need consent, retention, redaction, and access controls
- Managers turning decisions into accountable follow-up
Look elsewhere if
- Meetings that should not be recorded or summarized
- Teams expecting transcripts to be authoritative records
- Organizations that have not defined retention and access ownership
What Fellow does
Fellow records, transcribes, summarizes, and searches meetings while adding agendas, action items, consent capture, retention controls, integrations, and organization-wide governance. Its documented capabilities include AI transcription and summaries, Meeting agendas and action items, Ask Fellow meeting search, Consent capture, Redaction and retention policies, Workspace analytics and automations.
Pricing and total cost
Fellow lists Free at $0, Team at $7 per user monthly on annual billing or $11 monthly, Business at $15 annually or $23 monthly, and custom Enterprise pricing. Recording allowances, upload limits, CRM connections, advanced permissions, retention, SSO, and workspace analytics vary by tier.
Yes. The Free plan includes five AI notes and five recordings per user for the lifetime of the plan, plus summaries, transcription, action items, uploads, and core meeting integrations.
Privacy, security, and governance
Map every source the product can read, every system it can write to, how permissions carry across, what is retained, which model providers process data, how consent works, and how exports and deletion behave. Use least privilege, preserve a system of record, and require human approval for consequential actions until real error rates are known.
A fair buyer test
Run 20 representative remote, hybrid, multilingual, noisy, and sensitive meetings with documented consent. Compare transcripts and summaries against human notes; measure speaker attribution, decision recall, action-owner accuracy, search precision, redaction, access leakage, retention enforcement, follow-through, review time, and cost per useful meeting record.
Alternatives to compare
Compare Fellow with fathom, otter ai, granola using the same tasks, source data, reviewers, and success thresholds. Feature lists are less useful than accepted outcomes, failure severity, correction time, governance fit, and total cost.
Final verdict
Fellow is strongest when a company wants one governed meeting-intelligence layer rather than a patchwork of personal note takers. Its value depends less on transcript volume than on decision capture, action follow-through, search precision, and policy consistency. Sensitive teams should verify consent, access, retention, redaction, model-provider, and deletion behavior before standardizing.
This is a research-based assessment, not a claim of long-term paid deployment. Features, prices, limits, and policies were checked against first-party sources on September 23, 2026 and can change.
Reusable trial worksheet
Test Fellow before you commit
Turn this review’s buyer test into evidence. Your entries autosave only in this browser and are never added to shared shortlist links.
Confirm the tool meets every must-have workflow and stakeholder requirement.
Review starting point: Teams standardizing meeting capture across Zoom, Meet, Teams, and in-person conversations; Organizations that need consent, retention, redaction, and access controls; Managers turning decisions into accountable follow-up
Run the same representative work you would use in production; do not score a polished demo.
Review starting point: Run 20 representative remote, hybrid, multilingual, noisy, and sensitive meetings with documented consent. Compare transcripts and summaries against human notes; measure speaker attribution, decision recall, action-owner accuracy, search precision, redaction, access leakage, retention enforcement, follow-through, review time, and cost per useful meeting record.
Calculate the effective cost per accepted result, including usage, review, corrections, and required add-ons.
Review starting point: Fellow lists Free at $0, Team at $7 per user monthly on annual billing or $11 monthly, Business at $15 annually or $23 monthly, and custom Enterprise pricing. Recording allowances, upload limits, CRM connections, advanced permissions, retention, SSO, and workspace analytics vary by tier.
Define an acceptance threshold, test known answers and edge cases, and record every correction.
Review starting point: Editorial quality signals: features 4.2/5; AI quality 4.1/5. Validate these signals in your own work.
Verify what data enters the product, who can access it, how long it is retained, and whether it trains models.
Review starting point: Use approved low-risk data first. Check roles, consent, deletion, subprocessors, model-training settings, and the contract—not only the marketing page.
Test the real handoffs, permissions, failure states, and export path your team depends on.
Review starting point: Google Meet, Zoom, Microsoft Teams, Slack, Salesforce, HubSpot
Record training, governance, reliability, accessibility, ownership, and change-management risks before rollout.
Review starting point: Meetings that should not be recorded or summarized; Teams expecting transcripts to be authoritative records; Pricing, limits, and product behavior can change
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Community evidence
How verified users put Fellow to work
Structured, editor-moderated experience—not star ratings. This complements our independent review and never changes its score.
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Sources and verification
Product details and claims were checked against the following primary sources.
Frequently asked questions
What is Fellow?
Fellow records, transcribes, summarizes, and searches meetings while adding agendas, action items, consent capture, retention controls, integrations, and organization-wide governance.
How much does Fellow cost?
Fellow lists Free at $0, Team at $7 per user monthly on annual billing or $11 monthly, Business at $15 annually or $23 monthly, and custom Enterprise pricing. Recording allowances, upload limits, CRM connections, advanced permissions, retention, SSO, and workspace analytics vary by tier.
Who should use Fellow?
Teams standardizing meeting capture across Zoom, Meet, Teams, and in-person conversations, Organizations that need consent, retention, redaction, and access controls, Managers turning decisions into accountable follow-up.
How should buyers test Fellow?
Run 20 representative remote, hybrid, multilingual, noisy, and sensitive meetings with documented consent. Compare transcripts and summaries against human notes; measure speaker attribution, decision recall, action-owner accuracy, search precision, redaction, access leakage, retention enforcement, follow-through, review time, and cost per useful meeting record.
Recommended tool
Use Fellow if this workflow fits your team
Fellow is strongest when a company wants one governed meeting-intelligence layer rather than a patchwork of personal note takers. Its value depends less on transcript volume than on decision capture, action follow-through, search precision, and policy consistency. Sensitive teams should verify consent, access, retention, redaction, model-provider, and deletion behavior before standardizing.
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Fellow records, transcribes, summarizes, and searches meetings while adding agendas, action items, consent capture, retention controls, integrations, and organization-wide governance
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