Fellow vs Fireflies AI: The Complete 2026 Comparison (AI Notes, Security, Integrations)

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Your Secure AI Meeting Assistant

Fellow is the only AI meeting assistant with the privacy and control settings to ensure your centralized meeting recordings, notes, and summaries are only accessible by the right people.

AI Summary by Fellow
  • Organizations switching from Fireflies to Fellow most commonly cite three reasons: ungoverned content sharing with no admin-enforced controls, poor summarization accuracy requiring manual correction, and the absence of compliance features like zero-day retention and audit logging.

  • Fellow is the only AI meeting assistant in this comparison with zero-day retention (ZDR), decoupled retention scheduling, consent disclosure logging, information barrier policies, and Regulatory Trackers built for regulated industries like finance, healthcare, and legal.

  • For cross-meeting intelligence, Fellow's Ask Fellow lets teams query their entire meeting history in natural language; for accuracy, Fellow consistently delivers 95%+ versus Fireflies' self-reported 90-95% that drops further with accents and overlapping speakers.

  • Organizations switching from Fireflies to Fellow most commonly cite three reasons: ungoverned content sharing with no admin-enforced controls, poor summarization accuracy requiring manual correction, and the absence of compliance features like zero-day retention and audit logging.

  • Fellow is the only AI meeting assistant in this comparison with zero-day retention (ZDR), decoupled retention scheduling, consent disclosure logging, information barrier policies, and Regulatory Trackers built for regulated industries like finance, healthcare, and legal.

  • For cross-meeting intelligence, Fellow's Ask Fellow lets teams query their entire meeting history in natural language; for accuracy, Fellow consistently delivers 95%+ versus Fireflies' self-reported 90-95% that drops further with accents and overlapping speakers.

If your team is comparing AI meeting assistants, you've likely narrowed it down to Fellow and Fireflies. Both promise to transcribe, summarize, and extract action items from your meetings. But when independent reviewers put them head-to-head, one tool consistently outperforms for teams prioritizing accuracy, security, and organization-wide intelligence.

The verdict: Fellow is the stronger choice for enterprise teams and organizations that care about security and compliance. It delivers 95%+ transcription accuracy across 92 languages, offers both bot and botless recording with identical enterprise governance, and never trains on customer data.

As Aron Kantor from The Business Dive noted after testing dozens of AI meeting assistants over 2+ years, "Fellow is one of the best choices for organizations and bigger teams, thanks to its features and high-security standards."

Fireflies remains a capable tool for individuals and small teams who want a versatile, budget-friendly transcription option. But for organizations where meeting data contains sensitive information, Fellow's governance-first approach makes the difference.

Fellow vs Fireflies: quick comparison

Feature

Fellow

Fireflies

Transcription accuracy

95%+

90-95%

Languages supported

92

100

Bot recording

Botless recording

✅ (all platforms)

⚠️ (Chrome extension, Google Meet only)

Video recording

✅ (all plans)

❌ (Pro plan and up only)

Cross-meeting AI search

✅ Ask Fellow cross-meeting intelligence

✅ AskFred

Action items sync to project mamangement tools

✅ Native sync

Pre-meeting AI briefs

Regulatory Trackers

Zero-day retention (ZDR)

Decoupled retention model

Workspace-level link sharing controls

Information barrier policies

Consent disclosure logging

Pause/Resume with audit log

Transcript redaction

Mobile app

✅ iOS & Android

✅ iOS & Android

SOC 2 Type II

HIPAA compliant

✅ (Enterprise + Private Storage only)

Never trains on data

✅ (Enterprise only)

MCP Server

✅ (Claude, ChatGPT, Cursor)

✅ (Claude, Devin, ChatGPT)

Why organizations choose Fellow over Fireflies

1. Transcription accuracy

Accuracy is the foundation of any AI note taker. Fellow consistently delivers 95%+ transcription accuracy across clear and challenging audio environments.

Fireflies claims similar accuracy under ideal conditions, but independent testing tells a different story. As one Capterra reviewer noted: "There are occasional inaccuracies, especially with overlapping conversations or technical jargon."

A Reddit user who tested Fireflies across 33 meetings in 30 days described the experience as "very close to 90% accuracy" but flagged significant issues with speaker labeling when multiple participants spoke simultaneously.

For teams where getting the "who said what" right matters, including sales calls, legal discussions, and executive meetings, these accuracy gaps create downstream problems. Misattributed action items end up in the wrong hands. CRM data gets polluted. Follow-ups fall through.

Aron Kantor from The Business Dive put it plainly after extensive testing: "Fellow has one of the most accurate transcriptions I have seen and captures context and nuances."

One operations leader at a mid-size professional services firm switched to Fellow specifically because their SVP was manually editing every all-hands recap before it could be distributed. After switching, that editing step disappeared entirely.

2. Bot or botless: your choice, same governance

Fellow offers something Fireflies cannot match: true botless recording across all major platforms (Zoom, Google Meet, Microsoft Teams, Slack Huddles) with identical enterprise governance for both modes.

Fireflies does offer a botless option, but it's limited to a Chrome extension that only works with Google Meet. For Teams or Zoom users who want to avoid the "Fireflies Notetaker has joined" notification, there's no alternative.

This matters more than it seems. In Bluedot's detailed Fireflies review, the tester noted that Fireflies' default behavior "raised some flags" because the bot not only joined calls but instantly pushed summaries to all attendees. "A clever viral loop, sure, but not one I appreciated in internal calls or when dealing with clients."

Fellow's approach is different. Organizations can set recording policies at the admin level, controlling who can record, what can be recorded, and who accesses the output. Whether you use bot or botless capture, the governance stays consistent.

Fellow also supports in-person and hybrid meetings with automatic speaker diarization and labeling, eliminating the gap that leaves board meetings, off-sites, and client visits undocumented.

3. Cross-meeting intelligence with Ask Fellow

Here's where Fellow pulls ahead for organizations: Ask Fellow lets users query across all meetings they have access to, not just a single transcript.

Imagine asking: "What commitments did we make to this client last quarter?" or "Where are our projects getting blocked?" Fellow surfaces answers from your entire meeting history, with timestamps and context.

Fireflies' AskFred is useful for drilling into individual meetings, but it lacks this organization-wide memory. For teams managing complex projects, long sales cycles, or cross-functional initiatives, this cross-meeting intelligence transforms how decisions get made and how accountability is tracked over time.

4. Action items that actually sync

Fellow doesn't just extract meeting action items, it syncs them directly to the project management tools your team already uses: Asana, Monday, Jira, Linear, ClickUp, and more.

Fireflies identifies action items and lets you push them to integrations, but reviewers have noted that action items "still require manual steps to get them into your workflow." The integrations exist, but the automation doesn't match Fellow's native sync.

When action items flow automatically from your meeting recap to your task board, accountability improves. When they require copy-pasting or manual entry, they get lost.

5. Governance controls built for regulated industries

This is where the gap between Fellow and Fireflies becomes most pronounced. Fellow is built as a governance-first platform. Fireflies is built for individual productivity. For organizations in finance, healthcare, legal, and other regulated industries, that difference is disqualifying.

Zero-day retention (ZDR)

Fellow supports zero-day retention for both recordings and transcripts independently, with separate retention schedules configured at the workspace level. When ZDR is enabled, source recordings and transcripts are not retained after AI processing completes. AI-generated summaries, action items, decisions, and key takeaways are preserved. Raw content is not.

Fireflies has no equivalent. This makes Fellow the only viable option for teams handling material non-public information (MNPI), protected health information (PHI), or other data categories where retaining a verbatim transcript creates regulatory or litigation exposure.

Decoupled retention model

Fellow's retention architecture lets organizations independently configure how long recordings, transcripts, and AI summaries are kept. You can delete source recordings on a short compliance schedule while retaining AI-generated notes as institutional memory for a longer window. This decoupled model preserves the intelligence your team needs without retaining the compliance liability of a full verbatim record.

Workspace-level link sharing controls

One of the most common pain points organizations report when leaving Fireflies is the lack of control over how meeting content spreads. Fireflies' default behavior pushes summaries broadly and makes it difficult for admins to restrict distribution.

Fellow gives admins three configurable controls over public link sharing:

  • Disable public links for AI recaps and recordings entirely

  • Disable public links for manually shared meeting notes

  • Require authentication to view recordings and transcripts even when accessed via a public link (recap summary visible, but media access locked behind login)

This matters particularly for organizations where meeting content includes sensitive client information, personnel discussions, or proprietary deal terms. One enterprise IT team blocked Fireflies tenant-wide after discovering it was attaching itself to new users when they clicked shared links, a viral distribution mechanism with no admin-level off switch. Fellow's link controls make that scenario impossible.

Information barrier policies

Fellow supports information barrier configurations that align with separation requirements between business units. For financial services firms managing potential conflicts between investment banking, trading, and asset management teams, or for legal practices managing matters across different client engagements, this is a material governance requirement. Fireflies offers no equivalent.

Pause/Resume recording with audit logging

Any meeting attendee can pause a Fellow recording when a discussion moves to a sensitive topic, including privileged legal matters, personnel issues, or proprietary trading discussions. Critically, the pause event and timestamp are independently logged, creating a documented record of what was intentionally not captured. This audit trail supports defensible compliance documentation. Fireflies has no equivalent logging capability.

Transcript redaction

Attendees can redact sensitive information from transcripts before they are shared or synced to connected systems. Redaction rules can be applied manually by the meeting participant or reviewed by compliance staff prior to distribution. The meeting recap can be regenerated after redaction, so the final output reflects the cleaned version.

Consent disclosure logging

Fellow helps organizations document recording notices and consent workflows by logging disclosure events and timestamps. For regulated firms where demonstrating that participants were informed before recording began is a compliance requirement, this creates a reviewable audit record. Fireflies does not offer this capability.

Regulatory Trackers

Fellow's Trackers automatically flag key terms, regulatory trigger phrases, client commitments, and sensitive topics across all recorded meetings. This creates an intelligent, searchable signal layer across your entire meeting history, enabling proactive compliance monitoring rather than reactive review. Compliance staff can identify flagged conversations without scrubbing every recording manually.

Fireflies offers no equivalent proactive compliance monitoring layer.

Fellow's governance controls are built for teams that can't afford gaps. Book a call with our team to see how they apply to your compliance program.

6. Admin controls that prevent ungoverned sharing

Fireflies' default settings create real administrative headaches at scale. Auto-sharing notes with all meeting attendees, including external participants, is on by default. Restricting that behavior requires configuration that isn't intuitive and isn't available on lower tiers.

Fellow's workspace-level admin controls let organizations define:

  • Which meeting types are always captured, never captured, or captured at user discretion

  • Who can access recordings, transcripts, and summaries

  • Granular permission levels at the organization, team, or individual user level

  • Recording and access policies that apply consistently whether capture happens via bot or botless mode

The difference in philosophy: Fireflies defaults to open and asks users to opt out. Fellow defaults to governed and lets admins define what's permitted.

Real quotes from organizations that switched from Fireflies to Fellow

The feature comparisons tell part of the story. The clearest signal comes from teams that have used both tools and made the switch.

On data governance and admin control:

A compliance and operations leader at a professional services firm described the core issue plainly: "Data privacy and control is our top priority. We needed transparency about data storage, transmission security, encryption, and endpoint visibility. Fireflies couldn't give us that confidence at the admin level."

On invasive default behavior:

An accountant at a small business said: "Fireflies was automatically joining meetings and we couldn't figure out how to turn it off reliably. That alone was enough to make us look elsewhere and delete the account."

On IT security concerns:

An IT lead at a mid-size organization blocked Fireflies organization-wide after discovering it was attaching itself to new users through shared links. "It was a viral distribution mechanism we had no control over. That's not something we could allow in our environment."

On summary quality:

A director at a healthcare-adjacent organization described manually correcting AI-generated recaps after every meeting: "We were spending more time fixing the output than we would have spent just writing notes ourselves. The accuracy gap was the primary reason we switched."

On interface and context:

A school administrator who evaluated both tools found Fellow's interface significantly stronger and noted something counterintuitive: "Fellow provided better context despite having access to less meeting data than Fireflies."

On privacy controls for distributed teams:

A director at a multi-team organization put it directly: "Fellow provides granular recording and access controls, so we can centralize meeting data across the organization without worrying about who can see what."

On pricing at scale:

A business owner comparing enterprise options noted: "Fireflies is significantly more expensive at scale. Their enterprise pricing runs approximately double Fellow's business plan."

Where Fireflies holds its own

Fireflies isn't without strengths. For the right use case, it's a capable tool.

Pricing for individuals: Fireflies' Pro plan at $10/user/month (annual) offers unlimited transcription, which appeals to solo users or very small teams.

100+ languages: Fireflies supports more languages than Fellow (100 vs 92), though it cannot transcribe multiple languages simultaneously in the same meeting.

AskFred for single meetings: For drilling into one specific call, Fireflies' AI assistant handles questions capably. Just don't expect it to search across your entire meeting history.

Pricing comparison: Fellow vs Fireflies

Plan

Fellow

Fireflies

Free

5 AI notes/user

3 meetings/month, limited features

Team/Pro

$7/user/month

$10/user/month (annual)

Business

$15/user/month

$19/user/month (annual)

Enterprise

$25/user/month

Custom pricing

Fellow's pricing advantage becomes clear at scale. The Team plan at $7/user/month undercuts Fireflies' Pro plan while including features like video recording on all plans that Fireflies locks behind higher tiers. Enterprise governance features like zero-day retention, information barrier policies, and audit logging are included in Fellow's Enterprise tier without the additional private storage configuration requirements Fireflies imposes.

What independent reviewers say

The Business Dive (Aron Kantor): After testing dozens of AI meeting assistants over 2+ years, Kantor concluded that Fellow "is one of the best choices for organizations and bigger teams" and praised its "high-security standards" and transcription accuracy.

Bluedot's Fireflies review: The tester flagged that "speaker labeling still needs polish" with Fireflies, noting attribution issues "in faster-paced or cross-talk-heavy calls." The tester also raised concerns about Fireflies instantly distributing summaries to all attendees as default behavior.

Capterra (Fireflies reviews): Multiple verified users mentioned "inconsistent recording of meeting sessions" and "transcription errors involving multiple speakers or technical terminology."

Cosmo Edge (Reddit synthesis): Their analysis of user feedback noted that Fireflies' "transcription accuracy drops in noisy environments or with strong accents" and that "speaker identification errors are quite frequent, especially in multi-speaker meetings."

Who should choose Fellow

Fellow is the clear choice for:

  • Teams that need consistent accuracy and accountability across meetings

  • Organizations in regulated industries (healthcare, finance, legal) that require SOC 2, HIPAA, audit logging, and zero-day retention

  • Financial services firms managing MNPI, client commitments, and information barriers between business units

  • Sales teams who want cross-meeting intelligence to track commitments and follow-ups

  • Hybrid and remote teams needing governance controls that scale across departments

  • IT and security teams that need admin-enforced link sharing controls and domain-based recording blocks

  • Anyone who values botless recording without sacrificing features or governance

Who should choose Fireflies

Fireflies makes sense for:

  • Solo users and freelancers who want a budget-friendly transcription tool

  • Teams comfortable with bot-only recording on platforms other than Google Meet

  • Users who don't need cross-meeting AI search, organization-wide intelligence, or compliance controls

The bottom line

For teams and organizations, Fellow delivers where it matters: accuracy, governance, and intelligence that spans your entire meeting history. Fireflies remains a viable option for individuals and budget-conscious users, but its accuracy gaps, limited botless recording, absence of zero-day retention, and lack of admin-enforced sharing controls create friction and risk at scale.

As Aron Kantor from The Business Dive summarized: "If your goal is simply to transcribe a call, other tools will suffice. If your goal is to transform your meeting culture, Fellow is the answer."

Frequently asked questions

The Most Secure AI Meeting Assistant

The Most Secure AI Meeting Assistant

Record, transcribe and summarize every meeting with the only AI meeting assistant built with privacy and security in mind.

Manuela Bárcenas

Manuela Bárcenas is Head of Marketing at Fellow, the only AI Meeting Assistant built with privacy and security in mind. She cultivates Fellow’s community through content, podcasts, newsletters, and ambassador programs that amplify customer voices and foster learning.

Manuela Bárcenas

Manuela Bárcenas is Head of Marketing at Fellow, the only AI Meeting Assistant built with privacy and security in mind. She cultivates Fellow’s community through content, podcasts, newsletters, and ambassador programs that amplify customer voices and foster learning.

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