Michigan AI Meeting Recording Laws (2026)

Michigan's eavesdropping law occupies a rare legal gray zone. The statute at Mich. Comp. Laws Section 750.539c prohibits using any device to eavesdrop on a private conversation "without the consent of all parties," which reads like an all-party consent requirement. But Michigan courts have interpreted the law differently for decades, holding that a participant in a conversation cannot "eavesdrop" on their own conversation. That judicial interpretation effectively makes Michigan a one-party consent state for participants, while maintaining all-party consent requirements for non-participants.

This ambiguity matters enormously for AI meeting recording tools. When Otter.ai, Fireflies.ai, or another AI notetaker joins a video call, is the bot a "participant" in the conversation or a third-party eavesdropper? The answer determines whether the bot can legally record without everyone's consent, and no Michigan court has directly resolved this question as of April 2026.

This article covers Michigan's consent framework, the participant exception, how the ambiguity applies to AI meeting tools, penalties for violations, and what employers need to know. Consult an attorney for advice specific to your situation, as this article provides general legal information and not legal advice.

Michigan's Consent Framework for Recording

The Statutory Text vs. Judicial Interpretation

Michigan's eavesdropping statute states that "any person who willfully uses any device to eavesdrop upon the conversation of any other person without the consent of all parties thereto" commits a felony. On its face, this language appears to require all-party consent.

However, the critical phrase is "conversation of any other person." Michigan courts have consistently held that a person who is part of a conversation is not eavesdropping on "any other person's" conversation. They are participating in their own conversation. This distinction, established in Sullivan v. Gray (Mich. Ct. App. 1982), has been the governing interpretation for over four decades.

The Sullivan court found that "the statutory language, on its face, unambiguously excludes participant recording from the definition of eavesdropping by limiting the subject conversation to 'the private discourse of others.'" A participant recording their own conversation is not intercepting the discourse of "others."

Fisher v. Perron: The Sixth Circuit Confirms

In March 2022, the U.S. Sixth Circuit Court of Appeals directly addressed this question in Fisher v. Perron, 30 F.4th 289 (6th Cir. 2022). The case involved siblings in a dispute over their late mother's estate. Michelle Perron recorded phone conversations with her brother Frank Fisher and other siblings without their knowledge, then attempted to use those recordings in estate proceedings.

The Sixth Circuit held that Michigan is a one-party consent state for purposes of the eavesdropping statute. The court affirmed that a participant in a conversation does not violate MCL 750.539c by recording the conversation without the consent of other parties. Fisher's claim that his sister illegally eavesdropped on their conversations was rejected.

The Michigan Supreme Court's Silence

The Michigan Supreme Court has never directly overruled Sullivan v. Gray or the participant exception. In recent years, the Supreme Court declined to take up the issue when given the opportunity, which legal commentators interpret as tacit acceptance of the participant exception. The Michigan Legislature has also not amended the statute to eliminate the exception, despite decades of judicial interpretation.

As of April 2026, the participant exception is settled law in Michigan, affirmed by every court to consider it and effectively unchallenged at the state supreme court level.

The Sullivan Limitation: Third-Party Agents

Sullivan v. Gray did include one important limitation: while a participant may record their own conversation, they cannot direct a third party to record on their behalf without the consent of all parties. This limitation is directly relevant to AI meeting tools. If an AI bot is classified as a third-party agent rather than a participant, it could fall outside the participant exception and require all-party consent.

How Michigan's Ambiguity Applies to AI Meeting Bots

The Central Question: Participant or Eavesdropper?

Michigan's participant exception creates a binary legal test for AI meeting recording tools:

If the AI bot is a "participant": It can record the conversation without the consent of other parties, just like any human participant. Under this classification, tools like Otter.ai and Fireflies.ai would be legal in Michigan as long as the account holder (who is a participant) authorized the recording.

If the AI bot is a "third-party eavesdropper": It requires consent from all parties to the conversation. Under this classification, an AI bot that joins a meeting and records without everyone's knowledge would violate MCL 750.539c, and the person who deployed it could also be liable for procuring an illegal eavesdrop.

No Michigan court has directly ruled on this question. The answer likely depends on several factors.

Factor 1: How the Bot Joins the Meeting

An AI bot that joins a meeting as a visible participant with its own name displayed (such as "Otter Notetaker") has a stronger argument for participant status than a bot that operates invisibly in the background. However, "joining" a meeting may not be enough. Sullivan v. Gray defined a participant as someone engaged in the "private discourse," which implies active communication rather than passive observation.

Factor 2: Whether the Bot Acts Independently

The Sullivan limitation against third-party agents is significant. If an AI bot merely records on behalf of the meeting host (acting as a tool or extension of the host), it might be treated as the host's recording device rather than a separate entity. But if the bot processes recordings independently, sends them to the vendor's servers for AI training, or generates outputs that the host did not direct, courts may view it as an independent third party.

Factor 3: The Ambriz v. Google "Capability Test"

The February 2025 ruling in Ambriz v. Google (N.D. Cal.) provides a potential framework for Michigan courts. The court held that an AI vendor qualifies as a third-party eavesdropper if it has the technical capability to use intercepted data for its own purposes (such as model training), regardless of whether it actually does so.

Under this test, most commercial AI meeting tools would likely be classified as third-party eavesdroppers in Michigan, because they have the capability to use recorded data for model improvement. This would place them outside the participant exception and require all-party consent.

Factor 4: The Brewer v. Otter.ai Litigation

The August 2025 Brewer v. Otter.ai class action further illustrates the risk. The complaint alleges that Otter.ai's Notetaker joins meetings without obtaining consent from all participants, records conversations of non-account holders, and uses the data to train machine learning models. While the case was filed in California, its legal theories would apply in Michigan for meetings involving Michigan participants.

Popular AI Meeting Recording Tools and Michigan Compliance

Tool	Default Behavior	Michigan Risk Assessment
Otter.ai	Bot joins automatically via calendar integration; host controls consent settings	Uncertain: likely treated as third-party agent, not a participant
Fireflies.ai	Bot joins as named participant; Zoom may show recording pop-up	Uncertain: visible presence strengthens participant argument, but independent data processing weakens it
Zoom AI Companion	Built-in feature; shows recording indicator	Lower risk: integrated into the platform rather than joining as a separate entity
Microsoft Copilot	Integrated into Teams; transcription notification displayed	Lower risk: built-in feature rather than third-party bot
Google Gemini in Meet	Built-in summarization; recording banner shown	Lower risk: native platform feature
Read.ai	Bot joins meetings; sends consent requests	Moderate: proactive consent reduces risk, but third-party classification still possible

Built-in platform features (Zoom AI Companion, Microsoft Copilot, Google Gemini) carry lower risk in Michigan because they function as extensions of the recording platform rather than independent third-party entities. Third-party bots that join meetings as separate participants and process data on their own servers face the highest legal uncertainty.

Penalties for Violating Michigan Eavesdropping Laws

Criminal Penalties

Offense	Classification	Maximum Prison	Maximum Fine
Eavesdropping on a private conversation	Felony	2 years	$2,000
Installing or using a device for eavesdropping	Felony	2 years	$2,000
Divulging information obtained through illegal eavesdropping	Felony	2 years	$2,000

Under MCL 750.539c, violations are classified as felonies. Both the person who deploys the AI recording tool and the vendor whose tool performs the recording could potentially face liability.

Civil Remedies

MCL 750.539h provides a private right of action for victims of illegal eavesdropping. A person whose private conversation is illegally recorded may sue for actual damages, including damages for emotional distress, and reasonable attorney's fees. In the context of AI meeting tools, each recorded participant who did not consent could potentially bring a separate civil claim.

Evidentiary Impact

Michigan courts generally hold that recordings obtained through illegal eavesdropping are inadmissible as evidence. This means that even if an AI meeting recorder captures useful business information, that recording may not be usable in court if it was obtained in violation of MCL 750.539c.

The Bullard-Plawecki Act

Michigan's Bullard-Plawecki Employee Right to Know Act adds an additional layer of protection in the employment context. The Act prohibits employers from gathering or maintaining records of employees' non-employment activities, associations, or political activities without consent. AI meeting tools that capture conversations beyond their intended business scope could implicate this statute.

Employer and Workplace Recording Rules

The Workplace Recording Dilemma

Michigan employers face a particular challenge with AI meeting recording. While the participant exception allows an employee who is part of a conversation to record it, deploying an AI bot to record on the employer's behalf raises the Sullivan limitation against third-party agents.

Employers should not assume that because Michigan is effectively a one-party consent state for participants, they can freely deploy AI recording tools without disclosure. The prudent approach is to treat AI bots as potential third-party eavesdroppers and obtain consent from all meeting participants.

Best Practices for Michigan Employers

Employers using AI meeting tools in Michigan should consider several compliance measures. Written policies should clearly state that AI recording tools may be used in workplace meetings. Verbal announcements at the start of each recorded meeting provide real-time notice. Meeting invitations should note that AI transcription will be active. Opt-out mechanisms should be available for participants who do not wish to be recorded.

Video Surveillance Considerations

Michigan law permits employers to use video surveillance in the workplace for legitimate business purposes, but cameras may not be installed in areas where employees have a reasonable expectation of privacy (such as restrooms, locker rooms, and changing areas). Audio recording through workplace surveillance systems is subject to the eavesdropping statute and its participant exception ambiguity.

Remote and Multi-State Meetings

When Michigan employees participate in meetings with colleagues in other states, the strictest applicable law governs. If any participant is located in an all-party consent state like Massachusetts, California, or Illinois, all participants must be notified. Michigan employers with distributed workforces should implement a universal disclosure policy requiring announcement of AI recording at the start of every meeting.

Federal Law and Michigan's Framework

18 U.S.C. Section 2511

The federal Wiretap Act follows a one-party consent standard. A person who is party to a communication, or who has the consent of one party, may lawfully intercept it under federal law. Federal penalties for violations include up to 5 years in prison and fines up to $250,000.

Michigan's eavesdropping statute and the federal Wiretap Act can apply simultaneously to the same recording. When state and federal law conflict, the stricter standard governs. For AI meeting recording in Michigan, the participant exception creates functional one-party consent for human participants, but the unresolved question of AI bot classification means the state standard could be stricter than federal law for AI tools.

Cross-Border Implications

AI meeting recordings frequently involve participants in multiple states. A Michigan-based company recording a meeting with participants in California (all-party consent) or Illinois (which has its own Biometric Information Privacy Act) must comply with the strictest applicable law. The safest approach is to adopt all-party consent practices regardless of Michigan's participant exception.

Looking Ahead: Michigan's AI Recording Landscape

Michigan's eavesdropping statute was written long before AI meeting assistants existed. The participant exception, crafted in 1982 for human conversations, does not map cleanly onto AI bots that join meetings, process audio through machine learning models, and store data on vendor servers.

Several developments could resolve the current ambiguity. The Michigan Legislature could amend MCL 750.539c to explicitly address AI recording tools and clarify whether they fall within or outside the participant exception. Michigan courts could rule directly on whether an AI bot qualifies as a participant or a third-party eavesdropper. Federal litigation like Brewer v. Otter.ai and Ambriz v. Google could establish precedents that Michigan courts adopt.

Until one of these developments occurs, businesses and individuals using AI meeting recording tools in Michigan should err on the side of disclosure and consent. The legal ambiguity itself is a risk factor, as it means any recording made without all-party consent could be challenged if a court later determines that AI bots fall outside the participant exception.

More Michigan Laws

Explore other Michigan law topics on Recording Law:

• Michigan Recording Laws
• Michigan Data Privacy Laws
• Michigan AI Laws