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AI notetaker compliance for regulated mid-market companies

Most regulated companies can adopt AI meeting transcription safely if they settle four things first: consent, which meetings are off limits, the vendor's security, and how long transcripts are kept. Here are the rules that apply, the checklist to run any tool through, and what investment firms need to add.

Most regulated companies can adopt AI meeting transcription safely. The conditions are the same whether you run a specialty lender, an insurance brokerage, a staffing firm placing clinicians or a SaaS company with a SOC 2 report: get consent where the law requires it, keep the tools out of privileged and highly sensitive meetings, hold the vendor to a real security bar, and decide retention before the transcripts pile up. The companies that get into trouble usually switched the tool on first and wrote the policy later. So the useful question is narrower than “is this allowed”. It is which rules apply, to which meetings, with which tool and for how long.

Important: this is not legal advice DealSage is not a law firm and does not provide legal, regulatory or compliance advice. This guide is general information for companies evaluating AI transcription, and reading it creates no advisory relationship. The law varies by jurisdiction and changes over time, vendor terms change without notice, and your obligations depend on your industry, your registrations, your customer contracts and your NDAs. Confirm the specifics with your own compliance lead and qualified counsel before you act.

This guide covers the rules that apply to most mid-market companies, sources each claim so your team can check it, and ends with a vendor checklist and a simple way to sort meetings into tiers. Investment firms have their own section, because the SEC adds recordkeeping and vendor-oversight rules on top. It is a spoke of our work on one model of the business: meeting transcripts are one of the richest sources a company has, and they need governing before they can feed anything else.

Is it compliant to use an AI notetaker?

For almost every company the answer is yes, once four conditions are true.

  1. Consent. Participants agree to the recording wherever recording law requires it.
  2. Off-limits meetings. Board meetings, legal calls and live negotiations stay untranscribed unless someone accountable signs off.
  3. Vendor security. The tool clears a security bar you can evidence, with the paperwork to match.
  4. Retention. You decide in advance, by meeting category, what you keep and for how long.

Each is a policy decision a compliance lead can make once and apply across the company. The rest of this guide is about making each one well.

Which companies need a written notetaker policy?

Any company whose calls carry information it already has duties over. In practice that covers most of the middle market, because the obligations follow what is said in the meeting, wherever the company sits on an industry map.

Company type What ends up in the transcript What to check first
Financial services (lenders, specialty finance, wealth managers) Customer account details, credit decisions, personal financial information Sector privacy and recordkeeping rules; your regulator’s view on AI use
Insurance brokerage Policyholder details, claims history, carrier terms Treat the transcript like the client file it describes; carrier and client contract terms
Healthcare-adjacent (benefits administrators, clinical staffing, medical device distribution) Information about patients or plan members Whether transcripts could contain protected health information, and whether the vendor will sign a Business Associate Agreement
SOC 2 and contract-bound companies (SaaS, managed services, outsourced operations) Customer data, system details, security discussions Your SOC 2 vendor management and retention controls; subprocessor terms in customer DPAs
Field services, manufacturing and distribution Customer pricing, contract terms, supplier negotiations Confidentiality clauses in customer and supplier agreements
Investment firms (PE, VC, RIAs, banks) Counterparty confidential information, LP communications, advice SEC Rule 204-2, Regulation S-P, deal NDAs (see the section below)

A SOC 2 report deserves a specific mention. Your auditor tests whether you follow the controls you describe, and a transcription tool that holds customer data is a new vendor inside that scope. It should go through the same vendor review as any other subprocessor, with the evidence filed where the auditor can find it. If your enterprise customers’ DPAs list the subprocessors you may use, or require notice before you add one, check that before rollout. Discovering it at renewal is less fun.

This is the first hurdle and the only one with criminal exposure, so treat it as a gate.

Federal law and most states allow one-party consent, meaning one participant can record. But twelve states require all-party consent for a private conversation: California, Connecticut, Delaware, Florida, Illinois, Maryland, Massachusetts, Montana, Nevada, New Hampshire, Pennsylvania and Washington. In these states you generally need every participant’s permission before recording, and secret recording can be a crime. Florida, for instance, treats it as a third-degree felony punishable by up to five years and a $5,000 fine under its Security of Communications Act (Fla. Stat. § 934.03).

Two habits make this simple in practice. On an interstate call, assume the strictest applicable state governs, because courts tend to defer to the most protective privacy law when participants sit in different states. And for any external meeting you plan to transcribe (customers, suppliers, carriers, lenders, advisers), disclose the tool and ask for consent at the start. One sentence in your meeting norms covers it.

Some tools record without visibly joining the call. That makes them pleasant to use. It changes nothing about consent, which applies whether or not the tool announces itself, so make sure a low-friction product does not turn into an undisclosed recording.

How do NDAs, customer contracts and privilege apply?

This is the part most transcription buyers underweight, and where a company with sensitive customer or counterparty relationships has the most at stake.

Your contracts may restrict it. Feeding a counterparty’s confidential information into a third-party AI tool can amount to disclosure to an outside party. Newer NDAs increasingly address AI directly. Older ones usually do not, and that gap is where the exposure sits. The same reading applies to a manufacturer discussing a customer’s specifications or a distributor reviewing a supplier’s pricing: if the agreement limits who may receive the information, check whether a transcription vendor counts.

Privilege can be waived. Bringing an outside transcription platform into a legal call or a sensitive board discussion can create a credible argument that a privileged communication was disclosed to a third party, weakening or destroying privilege, even if no one at the vendor ever reads the transcript. Auto-sharing features that push transcripts to unintended recipients make this worse.

The conservative default follows. Keep AI transcription out of board meetings, legal calls and any privileged discussion, and require explicit sign-off before it is used there. A searchable, time-stamped transcript of a board debate is a document that would not otherwise exist, and exactly the kind of record that surfaces in later litigation or an investigation.

How long should you keep AI meeting transcripts?

Decide before the transcripts exist. Left alone, a notetaker keeps everything, and a company ends up holding years of verbatim conversation it never chose to retain.

Transcripts are discoverable in regulatory inquiries, internal investigations and commercial litigation. A rich, searchable record helps a team work faster. In a dispute, the same record can be used against you. Three practices keep it manageable:

  • Retention by category. Set a period for each meeting tier (see the tiering below) and match it to the records schedule you already run for the underlying information.
  • Scheduled deletion. Delete non-record material automatically, using the vendor’s retention controls, so nobody has to remember.
  • Legal hold. Make sure a legal hold reaches the transcript store, and that someone can suspend deletion when a dispute or inquiry starts.

For a SOC 2 company, the retention period you write down is a control your auditor may test. Write one you will actually follow.

Where should transcript data live?

Ask the vendor where data is hosted and whether you can choose the region. Many US companies want US-only hosting, and some customer contracts require it.

If any participants, customers or employees sit in the EU or UK, personal data in a transcript can bring GDPR into scope, so you want a DPA with Standard Contractual Clauses. California residents bring CCPA into scope.

Two further questions matter as much as the hosting region. Is the raw audio stored, or discarded once the transcript is made? And which subprocessors touch the data on the way, including the transcription engine and any AI model providers that write the summaries? A vendor hosted in the US may still send audio or text to a model provider hosted elsewhere, so get the full list.

How should you review a transcription vendor?

Treat the tool like any other data subprocessor and run a short review. Keep the answers on file, because that record is the evidence of vendor oversight that auditors, regulators and enterprise customers expect.

Security and certification. SOC 2 Type 2 (Type 1 alone is a weaker signal). Encryption at rest and in transit. A recent penetration test.

Data handling. Hosting location and whether it can be restricted. Whether raw audio is stored or discarded. The full subprocessor list. Whether your data trains the vendor’s models or any third party’s, whether you can opt out, and whether opt-out is the default on business plans.

Contractual. A signed DPA, with SCCs if EU or UK data is involved. A written commitment to notify you of a breach within a set period. A Business Associate Agreement if transcripts may contain health information.

Control and retention. Configurable retention and automatic deletion. On-demand deletion of individual notes and of all account data. SSO and, ideally, SCIM provisioning so access is granted and revoked centrally. Admin controls and audit logs. And the recording behavior itself: does it auto-join and auto-record, or does someone have to start it?

If you want a second read on where a specific tool lands against this list, talk to us. We run this review for the companies we work with.

What do investment firms need to add?

Private equity firms, registered investment advisers and banks face everything above plus two sets of SEC rules. Deal NDAs also bite harder for them, since diligence sessions and management presentations are full of a counterparty’s confidential information. Our guide to AI for investment firms covers the wider picture.

Books and records (Rule 204-2). For a registered adviser, the books-and-records rule is the reflex worry, and the current guidance is more permissive than the “capture everything” instinct left over from the off-channel messaging enforcement wave. The trigger is transmission. A transcript or AI summary that simply sits in a tool is generally not, on its own, a communication that must be retained. It more likely becomes a record when it is sent as a written communication or forms the basis of advice or a recommendation. So decide by category in advance which outputs you retain, for example anything shared with clients or LPs or anything feeding an investment recommendation, and hold those under your normal schedule (generally five years, with the first two readily accessible).

The regulatory direction supports the measured approach. In October 2025, SIFMA petitioned the SEC to explicitly exclude AI-generated meeting transcripts from retention requirements and add a good-faith safe harbor. The SEC’s FY2026 examination priorities focus on AI governance, cybersecurity and whether firms can substantiate what they claim about their AI use. They contain no AI-specific mandate to archive every transcript. The examinable question is whether you have a documented policy you can explain, the same discipline behind showing your workings on AI lineage.

Regulation S-P. The 2024 amendments apply directly, because a transcription tool is a service provider that may receive customer information.

  • Incident response. Firms must keep written policies to detect, respond to and recover from unauthorized access to customer information, and a new vendor should slot into that program.
  • Vendor oversight and a 72-hour term. Firms must oversee providers that handle customer information and have them agree in writing to give notice of a breach as soon as practicable and no later than 72 hours. Put that term in the contract or DPA.
  • 30-day notice. If customer information is breached, the firm generally must notify affected individuals within 30 days.
  • Compliance dates. Larger advisers, those with $1.5B or more in AUM, had a December 3, 2025 compliance date. Smaller advisers had until June 3, 2026. Both dates have now passed.

Investment firms that use transcripts downstream, in diligence and investment memos or portfolio monitoring, should apply the retention categories to those outputs as well, since a memo built from a call is more likely to be a record than the call notes themselves.

Which meetings should you transcribe?

A simple tiering keeps the policy usable day to day, and it is the one-page document your compliance lead, auditor or examiner will actually want to see.

Tier Meeting types Transcription stance
Green Internal syncs, operations reviews, pipeline and planning meetings, training sessions Allowed with internal disclosure. Standard retention.
Amber External calls with customers, suppliers, carriers, lenders, advisers, investors Allowed only with all-party consent and a contract or NDA check. Consider shorter retention.
Red Board meetings, legal or privileged calls, live negotiations, HR investigations, calls touching health information or material non-public information Off by default. Explicit sign-off required before any tool is used.

Set a retention period per tier, delete non-record material on schedule, and make sure the tier is visible when someone starts a recording. A policy people have to look up rarely gets followed.

What happens to the transcripts after the meeting?

Once consent, tiering and retention are settled, transcripts become useful well beyond the meeting. A sales call records what a customer said about pricing. An operations review records why a region missed its numbers. A supplier negotiation records what was conceded and why. In most companies that information lives in someone’s notes, or nowhere.

The governance work above is what makes it safe to use. A transcript can only feed other systems if you know where it came from, who was allowed to hear it, and how long you may keep it. Our work starts there. We connect the systems a company already runs, including its meeting notes, bring them into one model of the business with the same access rules and retention attached, and build the agents and apps on top with forward-deployed engineers who stay until the work runs in production. The point is the decision at the end: a leadership team that can see what customers, crews and suppliers actually said, with the source one click away.

For one boutique M&A advisor, that meant a CRM that fills itself from email and calls, so relationships stayed with the firm when people moved on. For a PE-backed field services company, the same model joins contract, billing, HR and operations data, and an agent writes the weekly operations review before the leadership meeting. Meeting records can join that model under the same rules.

A note on the tools we integrate with

Granola (a tool DealSage integrates with). Granola publishes a SOC 2 Type 2 report, hosts data in a US AWS environment encrypted at rest and in transit, discards the source audio after transcription so notes are built from the transcript rather than a stored recording, runs on the user’s machine without a meeting bot, and contractually prohibits its third-party AI providers from training on your data. One setting to handle: it trains on anonymized data for its own product improvement by default, and that default is off only on the Enterprise plan, so adopt Enterprise and confirm training is disabled organization-wide. As with any vendor, pull the current subprocessor list, DPA and retention settings from its trust center and confirm them, because a vendor’s terms can change. Consent and meeting tiering, the two things that make it compliant in practice, sit with the company.

We do not consider any single tool the only compliant choice, and we are not vouching for a vendor’s compliance on your behalf. The framework above applies to whichever transcription product you select. If you are weighing alternatives to a large platform for the wider data work, our guide to Palantir alternatives for mid-market companies compares the options.

The bottom line

Treat AI transcription as a data-governance decision and it is a safe upgrade for a regulated company. Get consent where the law requires it, keep the tools out of privileged rooms, hold the vendor to a security bar you can evidence, and decide retention before the transcripts exist. Then put the transcripts to work, so the people making decisions can see what was actually said. If you want help setting a transcription policy or reviewing a tool against the checklist above, talk to us.

Sources and further reading

These are the primary and secondary sources behind the claims above. Laws and vendor terms change, so verify the current position before you rely on any of them.

This guide reflects sources available as of October 2026 and is provided for general information. It is not legal advice. Confirm specifics with your compliance lead and counsel before setting policy.

Frequently asked questions

Is it compliant for a company to use an AI notetaker?
In most cases yes, provided four conditions are met. You obtain participant consent where recording law requires it, you keep privileged and highly sensitive meetings such as board and legal calls off limits, the vendor clears a real security bar (SOC 2 Type 2, a signed DPA, known data residency, a training opt-out and configurable retention), and you decide retention by meeting category in advance. Companies in financial services, insurance, healthcare-adjacent work or under strict customer contracts also need to check the duties that already attach to the information discussed on their calls. This is general information. Confirm your policy with your compliance lead and counsel.
Do you need consent to record a meeting with an AI notetaker?
It depends on where the participants are. Federal law and most states allow one-party consent, but twelve states require all-party consent for a private conversation, and on an interstate call courts tend to defer to the strictest applicable state. The safe practice is to disclose the tool and get consent at the start of any external meeting you plan to transcribe. A tool that records without visibly joining the call carries the same consent obligation as one that announces itself.
Which states require all-party consent to record?
Twelve: California, Connecticut, Delaware, Florida, Illinois, Maryland, Massachusetts, Montana, Nevada, New Hampshire, Pennsylvania and Washington. In these states you generally need every participant's permission before recording a private conversation, and secret recording can carry criminal penalties. Florida treats it as a third-degree felony punishable by up to five years and a $5,000 fine. If anyone on the call sits in an all-party state, assume that rule applies. State laws change, so confirm the current position for your jurisdictions.
Can using an AI notetaker waive attorney-client privilege?
It can. Bringing an outside transcription platform into a privileged conversation can create a credible argument that the communication was disclosed to a third party, which can weaken or destroy privilege, even if no one at the vendor reads the transcript. Auto-sharing features that send transcripts to unintended recipients add to the risk. The conservative default is to keep AI transcription out of legal calls, board meetings and any privileged discussion unless someone accountable signs off.
What should you look for in an AI transcription vendor?
Treat it as a data subprocessor. Ask where data is hosted, whether raw audio is stored or discarded after transcription, which subprocessors (transcription engines and AI model providers) touch your data, whether your data trains the vendor's or anyone else's models and whether opt-out is the default on business plans, and what retention and deletion controls exist. Require SOC 2 Type 2, a signed DPA with Standard Contractual Clauses if EU or UK personal data is involved, a written breach-notification commitment, and SSO with central user provisioning. If transcripts may contain health information, ask whether the vendor will sign a Business Associate Agreement.
Do investment firms have to retain AI meeting transcripts under SEC rules?
Not automatically. Under Rule 204-2, a transcript or AI summary generally becomes a record a registered adviser must keep when it is transmitted as a written communication or forms the basis of advice or a recommendation, rather than by being generated and left in a tool. The practical answer is to decide in advance which meeting outputs you retain and hold those under your existing schedule (generally five years, the first two readily accessible). In October 2025 SIFMA petitioned the SEC to exclude AI-generated transcripts from retention, and the SEC's FY2026 exam priorities focus on AI governance and substantiating your claims rather than archiving every transcript.
Is Granola compliant and secure enough for a regulated company?
Granola publishes a SOC 2 Type 2 report, hosts data in a US AWS environment encrypted at rest and in transit, discards the source audio after transcription, and contractually prohibits its third-party AI providers from training on your data. By default it trains on anonymized data for its own product improvement, and that default is off only on the Enterprise plan, so a regulated company should adopt Enterprise and confirm training is disabled organization-wide. Pull the current subprocessor list, DPA and retention settings from its trust center and check them, since vendor terms change. DealSage integrates with Granola, and the consent and meeting-tiering work that makes it safe sits with the company.

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