In-depth Fellow review covering pricing, features, and who it's best for. See how this secure AI meeting assistant helps regulated teams in 2026.
Fellow is an AI meeting assistant built with a strong emphasis on privacy, security, and compliance. It records, transcribes, and summarizes meetings across major platforms, positioning itself as a solution for regulated industries like finance and legal. This review explores its strategic value for businesses that need centralized meeting intelligence without compromising on data governance.
Quick Summary
Overall Rating 4.3/5 Best For Compliance-focused teams in finance, legal, and enterprise settings Pricing Free plan available; paid plans from $7/user/month Free Plan Yes Ease of Use 4.2/5 Business Value 4.5/5
For businesses where meeting content is sensitive, the core challenge is capturing insights without creating a compliance liability. Fellow solves this by providing a centralized meeting platform with granular admin controls over recording, transcription, and data retention. It enables organizations to benefit from AI meeting notes while satisfying strict regulatory requirements. This makes it a strategic fit for teams that have previously avoided AI notetakers due to security concerns. Its focus on governance, including features like transcript redaction and audit trails, allows decision-makers to deploy AI across the organization with confidence.
Professional reality: Fellow is not the right choice for teams that need a free, unlimited AI meeting assistant, as its free plan is limited to a lifetime total of 5 AI notes and recordings per user.
The platform automatically records, transcribes, and summarizes meetings across Zoom, Google Meet, Microsoft Teams, and Slack huddles. This allows team members to focus on the discussion rather than taking notes.
Business outcome: Reduces administrative overhead and ensures no action item or decision is missed.
AskFellow acts as a meeting AI agent, allowing users to get answers and insights from any meeting they have access to. It can generate documents, automate email follow-ups, and update CRM records instantly.
Business outcome: Transforms passive meeting recordings into an active knowledge base that drives follow-through.
All recordings and recaps are stored in a centralized library. Admins can govern who records and when, and users can pause and resume recording to keep off-the-record talk out of the transcript.
Business outcome: Provides a single source of truth for meeting intelligence while maintaining strict data access control.
For regulated industries, Fellow offers a Zero-Day Retention policy that deletes recordings and transcripts while keeping summaries and action items. Transcripts can also be redacted, with the redacted content removed from all associated data.
Business outcome: Helps organizations meet SEC, FINRA, and internal compliance requirements by minimizing data liability.
Fellow syncs meeting insights directly to Salesforce and HubSpot, suggesting fields to update based on the discussion. This keeps the pipeline accurate without manual data entry.
Business outcome: Ensures sales teams have up-to-date CRM data, improving forecasting and follow-up efficiency.
The platform supports collaborative agendas and pre-meeting briefs, ensuring all participants are prepared and meetings are more effective, even when back-to-back.
Business outcome: Increases meeting efficiency and ensures that time spent in meetings is purposeful and outcome-driven.
Fellow offers a free plan for individuals with 5 AI notes and recordings (lifetime), plus AI summaries, transcription, and action items. Paid plans start at $7/user/month (Team) with 10 AI notes and recordings per user per month, and $15/user/month (Business) for unlimited AI notes and recordings. Enterprise pricing is available at $25/user/month with advanced security and admin controls. All plans include integrations with Google Meet, Zoom, MS Teams, and Slack.
| Plan | Price | What You Get |
|---|---|---|
| Free | $0 | For those getting started with Fellow |
| Team | $7/user/month | For small teams |
| Business Best Value | $15/user/month | For org-wide AI meeting support |
| Enterprise | $25/user/month | Advanced control, security and AI meeting support |
Visit the official Fellow website to check the latest pricing and plans.
For investment banks and hedge funds, Fellow provides the necessary controls to record meetings for compliance review while using Zero-Day Retention to limit data liability.
Sales teams can use Fellow to automatically capture customer calls, update the CRM, and generate follow-up emails, ensuring no action item is lost.
Law firms can record client meetings with confidence, knowing that transcripts can be redacted and access is controlled, protecting client confidentiality.
IT administrators can deploy Fellow org-wide with confidence, using advanced recording permissions and audit trails to maintain security and oversight.
Sign up for a free account on the Fellow website to explore the interface and features.
Connect your primary calendar (Google, Outlook) and integrate your main meeting platforms like Zoom or Teams.
Set up your team workspace and invite members, configuring your initial privacy and recording permissions.
Start your first meeting with the AI assistant to see how it captures notes, action items, and summaries.
Fellow is worth the investment for organizations where meeting data is sensitive and subject to regulatory oversight. Its primary strength is its security-first design, offering granular controls and compliance features that most competitors lack. For small teams or individuals who just need basic meeting notes, the limited free plan and higher-tier costs may make it less attractive than simpler, cheaper alternatives. However, for mid-size to enterprise-level businesses in finance, legal, or other regulated sectors, the ability to deploy AI meeting notes with full governance is a significant strategic advantage that justifies the cost.
| Decision Area | Fellow | When Another Option Wins |
|---|---|---|
| Best for | Regulated industries needing compliance and security | Teams needing a free, unlimited AI notetaker |
| Pricing | Starts at $7/user/month with a limited free plan | Competitors offering more generous free tiers |
| Key feature | Zero-day retention and transcript redaction for compliance | Competitors with more advanced AI summarization |
| Ease of use | Clean interface with a focus on governance and control | Competitors with a more consumer-friendly, simpler setup |
| Scaling | Enterprise plans with domain control and user provisioning | Competitors with more flexible per-seat pricing for SMBs |
Fireflies.ai is a popular AI meeting assistant that offers a more generous free plan and is known for its ease of use. While Fireflies provides robust transcription and summarization, Fellow differentiates itself with a stronger focus on enterprise-grade security, compliance features like zero-day retention, and granular admin controls. Fireflies may be a better fit for teams that prioritize a large free tier and simple collaboration over strict data governance.
Choose Fellow if: Your organization has strict compliance requirements and needs advanced security controls over meeting data. Choose Fireflies.ai if: You need a free, easy-to-use AI notetaker with a large feature set for a small, non-regulated team.
Otter.ai is another well-known competitor that excels at real-time transcription and collaboration. It is often chosen for its user-friendly interface and strong integration with Zoom and Google Meet. However, Fellow's value proposition is centered on privacy and compliance, offering features like MNPI-aware workflows and a permissioned library that are critical for regulated industries. Otter.ai is a strong choice for general meeting notes, but Fellow is better suited for businesses where data security is the top priority.
Choose Fellow if: You are in a regulated industry and need to ensure meeting recordings and transcripts are handled with strict compliance. Choose Otter.ai if: You want a widely-adopted, user-friendly tool for general meeting transcription and collaboration without the need for advanced compliance features.
Fellow offers a free plan, but it is quite limited. It includes 5 AI notes and 5 AI recordings per user for a lifetime, which is suitable for trying out the tool but not for regular use. Paid plans start at $7 per user per month.
Fellow is best used by organizations that need a secure and compliant AI meeting assistant. It is particularly well-suited for regulated industries like finance, legal, and healthcare, where meeting data must be handled with strict privacy controls and audit trails.
While both are AI meeting assistants, Fellow prioritizes security and compliance with features like zero-day retention and transcript redaction. Fireflies.ai offers a more generous free plan and is generally considered easier to use for general note-taking. The choice depends on whether your priority is governance or simplicity.
For small businesses without strict compliance needs, Fellow's paid plans may be more expensive than necessary, and the free plan is too limited. It is more valuable for small teams in regulated sectors or those that handle sensitive client information and need to demonstrate data governance.
The main limitations are the very restrictive free plan and the cost at scale. Additionally, its focus on security and compliance means it may lack some of the more advanced or experimental AI features found in other tools. It is not designed for teams that just want a simple, free notetaker.
Bottom Line: Invest in Fellow in 2026 if your organization operates in a regulated industry and needs an AI meeting assistant that prioritizes security and compliance above all else.
Last Reviewed: August 2026 (fact-checked) | Reviewed by theaitoolsbox.com editorial team
Fellow supports aI Business Solutions tools work by helping users move from manual effort toward a more structured AI-assisted process.
The tool should be evaluated on how useful, accurate, editable, and workflow-ready its output is for the intended use case.
Fellow works best when teams define what AI can handle, what needs approval, and where sensitive information should not be used.
The practical value improves when outputs can move into the business systems where work is planned, stored, reviewed, or sent to customers.
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