Fireflies.ai Privacy: What It Collects, Who Can See It, and What Happens to Your Audio

Fireflies.ai is one of the most popular AI meeting notetakers on the market. It joins your calls automatically, transcribes everything, and generates summaries, action items, and searchable notes. For a lot of teams, it works well enough that nobody stops to ask the obvious question.

What exactly happens to all that audio?

How Fireflies joins your calls

Fireflies works by connecting to your calendar and joining scheduled meetings as a bot participant. You've seen this: "Fireflies Notetaker" shows up in the Zoom waiting room. It records the call on the platform's end, then sends that recording to Fireflies' servers for processing.

A third-party application is joining your business calls as a participant, recording the audio, and transmitting it to cloud servers outside your organization. For casual standups, that may feel low-stakes. For client calls, legal discussions, investor conversations, or anything involving confidential business strategy, the risk profile changes.

Some call participants may not notice. Others notice but don't say anything. In jurisdictions with two-party consent laws — California, Illinois, and several others — recording a call without consent from all parties is a legal exposure. Whether the bot's presence in the waiting room counts as notice is a question your legal team should answer before the call happens, not after.

What Fireflies stores

As of our March 2026 review, after a meeting Fireflies stores several things on their servers:

• The audio recording of your meeting
• The full transcript, speaker-labeled
• AI-generated summaries and action items
• Meeting metadata: participants, duration, timestamps
• Calendar access data used to detect and join meetings

As of our March 2026 review, audio recording is stored by default. On paid plans you can configure retention policies or disable audio storage, but that requires deliberate action. The default is to keep everything. Check current settings in your Fireflies account, as defaults may change.

Free plan users get limited storage. Paid plans extend that significantly. Either way, the data lives on Fireflies' infrastructure, hosted on major cloud providers. You're trusting their security posture, their access controls, and their vendors.

The admin visibility problem

This is the issue that catches organizations off guard. As of our March 2026 review, in Fireflies' workspace model admins have access to all meetings recorded by their team members.

Think about what that means. Every call your sales team has with a prospect. Every conversation your engineers have with contractors. Every HR discussion a manager holds with a direct report. If Fireflies is running on their accounts, that audio and those transcripts are visible to whoever holds workspace admin access.

Fireflies does have permission settings that let individual users control visibility. But this has to be configured consciously. The default behavior in a team workspace is broader than most users realize when they sign up.

For companies that record conversations involving candidates, employees, or confidential HR matters, this creates real exposure under employment law and privacy regulations. For companies operating under SOC 2 controls, the admin access model may create audit findings.

AI training and your meeting content

Fireflies uses your meeting content to power its AI features: summaries, topic detection, sentiment analysis, action item extraction. On the model training question, their current policy (reviewed March 2026) is explicit: "We do not use personal information for AI model training and we contractually prohibit our vendors from using this information for their own model training." They also state a Zero Data Retention policy covering audio, video, transcripts, and summaries. Verify current terms at fireflies.ai/privacy.

That commitment is meaningful and worth noting. The remaining concern is structural, not behavioral: your meetings leave your machine, live on their servers, and depend on a company honoring its policy commitments across time. "We don't train on your data today" and "we never will under any circumstances" are different statements, even when the first is sincere.

If your meetings contain genuinely sensitive information, the safest posture is to verify current terms directly with Fireflies and ask for a data processing agreement before adopting the tool for confidential content.

Breach and access risk

Any cloud service is a potential breach target. Fireflies holds a large and growing corpus of recorded business meetings. That's a valuable dataset. The payoff for an attacker scales with how sensitive the content is.

Fireflies takes security seriously and has standard enterprise controls. The point isn't that Fireflies is insecure. The point is that storing business meeting audio in the cloud creates a concentration of risk that wouldn't exist if the audio never left your machine.

You also face the standard risks of any SaaS vendor: acquisition (acquirer gets the data), shutdown (what happens to stored content), government requests (varies by jurisdiction), and employee access (their team can see your content for support and operational reasons).

What "local transcription" removes from the equation

Local transcription means the AI runs on your device. Audio is processed on your CPU or GPU, never transmitted to a server, and discarded after the transcript is generated. The only thing that persists is the text.

When there's no server involved, there's no breach surface for your audio, no vendor holding a copy, no admin visibility issue, no question about training data. The attack surface is just your machine.

Until recently, this was impractical. Running capable AI transcription locally required specialized hardware. Modern Macs — especially M-series chips — have the on-device compute to run accurate speech-to-text in real time. What used to require a data center now runs comfortably on a MacBook.

Who should think hard about this

For teams that discuss low-stakes internal topics, Fireflies is probably fine. The risk is real but proportional to what's being said.

The calculus changes for:

• Law firms — attorney-client privilege extends to every client call. Cloud storage of those conversations creates a privilege risk that most ethics guidance wasn't written to address. The same dynamic applies to any cloud meeting tool.
• Healthcare providers — HIPAA applies whenever protected health information enters the conversation. A telehealth session recorded by Fireflies is PHI on a third-party server. You need a BAA, and you're still relying on their security controls.
• Finance and investment — discussions of unreleased results, deal terms, or investor relationships may be subject to Reg FD or NDA constraints. Who holds that audio matters.
• Consultants and agencies — client NDAs often prohibit disclosure of confidential information to third parties. Whether an AI notetaker counts is unsettled in most agreements.
• Security-conscious teams — engineers discussing system vulnerabilities, unreleased product features, or acquisition targets should ask whether that conversation needs to live on someone else's server.

The right questions to ask any meeting AI

Before adopting any AI meeting tool — Fireflies or otherwise — these are the questions worth getting clear answers to:

• Is audio stored, and for how long? What is the default?
• Can workspace admins see recordings and transcripts from other users?
• Is meeting content used to train or improve AI models?
• What happens to data if the company is acquired or shut down?
• Does the product offer a data processing agreement for enterprise customers?
• What is the process for government or legal requests for meeting data?

For most cloud tools, the answers to these questions are "yes, audio is stored," "admins have broad access by default," and "it depends on which plan you're on." That's not an indictment of those products. It's just the nature of cloud architecture.

If those answers concern you, the architectural alternative is a tool that never transmits audio in the first place.