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FreemiumProductivity
Fellow AI Review 2026: Meeting Notes, Security & Pricing
Fellow records, transcribes, summarizes, and searches meetings while adding agendas, action items, consent capture, retention controls, integrations, and organization-wide governance
Recently Updated
Who should use this?
Teams standardizing meeting capture across Zoom, Meet, Teams, and in-person conversations and Organizations that need consent, retention, redaction, and access controls.
Who should avoid it?
Meetings that should not be recorded or summarized, Teams expecting transcripts to be authoritative records
What problem does it solve?
Fellow records, transcribes, summarizes, and searches meetings while adding agendas, action items, consent capture, retention controls, integrations, and organization-wide governance.
Would I recommend it?
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.
Advisor score
8.2/10
Premium review framework
Fellow records, transcribes, summarizes, and searches meetings while adding agendas, action items, consent capture, retention controls, integrations, and organization-wide governance.
Direct 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.
What to verify
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.
Personal Recommendation
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.
Try the recommendation
See whether Fellow belongs in your stack
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.
Overall Score
8.2/10
Research Based
- Last reviewed
- Sep 23, 2026
- Last updated
- Sep 23, 2026
Editorial Review Framework
How Fellow scores
Recently Updated
Who should use this?
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.
Who should avoid it?
Meetings that should not be recorded or summarized, Teams expecting transcripts to be authoritative records
What problem does it solve?
Fellow records, transcribes, summarizes, and searches meetings while adding agendas, action items, consent capture, retention controls, integrations, and organization-wide governance.
Would I recommend it?
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.
Overall Score
8.2
Ease of Use
8.4
AI Quality
8.2
Features
8.4
Speed
8.0
Integrations
8.2
Value for Money
8.0
Customer Support
7.8
Learning Curve
8.0
Recommended 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
Not Recommended For
- Meetings that should not be recorded or summarized
- Teams expecting transcripts to be authoritative records
- Organizations that have not defined retention and access ownership
Recommended Because…
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.
Scores use a 0-10 editorial scale. The source data is maintained as 5-point review dimensions, then normalized for reader-friendly comparison.
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.
0/7 checks complete
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: Complete three to five representative tasks with known acceptable outcomes and compare them with your current process.
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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Product interface evidence
Evaluation
Research-based
Price posture
From $0/month
Reviewed
2026-09-23
No authentic product screenshot is published for this review. DiscoverAI does not use generated interface images as product evidence.
Pricing
Freemium
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.
Free plan: 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.
Editorial freshness
Checked this month
Pricing and material product claims were checked September 23, 2026.
Pros & Cons
Pros
- Teams standardizing meeting capture across Zoom, Meet, Teams, and in-person conversations
- AI transcription and summaries
- A bounded pilot can test value before broad rollout
Cons
- Meetings that should not be recorded or summarized
- Teams expecting transcripts to be authoritative records
- Pricing, limits, and product behavior can change
Best For
Teams standardizing meeting capture across Zoom, Meet, Teams, and in-person conversationsOrganizations that need consent, retention, redaction, and access controlsManagers turning decisions into accountable follow-up
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.
No approved community evidence yet. Be the first verified user to contribute.
Key Features
- AI transcription and summaries
- Meeting agendas and action items
- Ask Fellow meeting search
- Consent capture
- Redaction and retention policies
- Workspace analytics and automations
Integrations
- Google Meet
- Zoom
- Microsoft Teams
- Slack
- Salesforce
- HubSpot
FAQs
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.
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FreemiumProductivityTranscription