How to Evaluate an AI Meeting Notetaker for Your Private Equity Firm or Hedge Fund
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AI Summary by Fellow
Choosing the wrong AI meeting notetaker can create a compliance problem.
This guide is built for the IT lead, infrastructure manager, or Chief Compliance Officer running the evaluation at a PE firm, hedge fund, investment bank, or asset management firm. Use it to move efficiently through vendor conversations.
What should private equity firms and hedge funds look for in an AI meeting notetaker?
Private equity firms and hedge funds should evaluate an AI meeting notetaker on six things: a written DPA commitment that the vendor does not train on customer data, current SOC 2 Type II certification, admin-enforced retention and recording restriction policies with no user-level override, independent retention schedules for recordings and transcripts, on-demand record retrieval for regulatory examination, and team-scoped access controls. Fellow supports all six, including zero-day deletion applied independently to recordings and transcripts while AI summaries persist. Generic productivity tools typically lack the governance layer entirely.
Your meetings contain deal discussions, LP communications, and portfolio strategy. That data sits at the intersection of regulatory exposure, confidentiality obligations, and governance requirements your compliance team will absolutely scrutinize.
Why AI meeting tools require a different evaluation at finance firms
Most AI meeting assistants are built for general business use. They're designed around productivity and convenience, with compliance as an afterthought (if it's considered at all).
Finance firms operate under a different standard. Material Nonpublic Information (MNPI), investor communications, and deal discussions create regulatory exposure that generic tools aren't equipped to handle. Recording any of those conversations without proper governance controls isn't just an IT problem.
The specifics differ by firm type, and the evaluation should reflect that:
Private equity firms run management meetings, diligence calls, investment committee sessions, and portfolio company reviews. The governance question centers on LP communications and deal confidentiality across a long holding period.
Hedge funds run expert network calls, management access meetings, and research conversations. The governance question centers on MNPI exposure and the speed at which a research call can become a compliance matter.
Investment banks run roadshow meetings, client coverage calls, pitch meetings, and deal execution conversations. The governance question centers on information barriers between coverage and execution teams.
Asset managers and RIAs run client reviews and investor updates under books-and-records obligations, where the retention schedule itself is the control.
The good news: the questions are knowable. The evaluation framework below gives you what you need to assess any vendor before the compliance conversation happens.
The AI meeting notetaker evaluation checklist for regulated finance firms
Security and data requirements
The vendor does not train on your meeting data.
This is non-negotiable at a regulated firm. Meetings contain MNPI, deal terms, investor communications, and confidential client information. Confirm in writing, in the data processing agreement, that your meeting content is never used to train or improve the vendor's AI models.
Data storage location is confirmed and documented.
Know where your data lives. Get the sub-processor list before compliance asks for it.
SOC 2 Type II certification is current.
Verify the tool's SOC 2 Type II certification is active and up to date. This is the baseline your compliance team will expect, and most established vendors in this category now carry it, so treat it as a filter rather than a differentiator.
GDPR and data processing agreements are available.
Increasingly relevant for firms with European counterparties, employees, or fund structures. Confirm DPA availability and review sub-processor provisions before you're deep into the evaluation.
The vendor can answer your security questionnaire within a reasonable timeframe.
Security questionnaire and IT review processes at finance firms can stall deals two to four weeks if the vendor isn't prepared. Ask upfront how quickly they turn around a standard security questionnaire.
See Fellow's full security posture, certifications, and data processing commitments in the Fellow Trust Center.
Compliance controls
Transcript and recording retention are configurable independently at the admin level.
Your compliance team needs to set retention policies for verbatim transcripts and recordings separately, enforced at the workspace level with no user-level override. The right tool supports zero-day deletion for both recordings and transcripts on independent schedules: delete recordings immediately while keeping transcripts for a defined period, delete transcripts immediately while retaining recordings, or delete both immediately after processing. Critically, AI-generated summaries, action items, and key decisions should persist even when raw recordings and transcripts are deleted, so your team retains the operational value without the raw data risk.
This is exactly the capability set Fellow offers for compliance-focused customers.
Verbatim transcripts and AI-generated summaries are governed as separate artifacts.
These are legally distinct. A verbatim transcript may be discoverable in litigation. An AI-generated summary, a paraphrase rather than a word-for-word record, sits in a different position. Confirm the tool treats them as separate artifacts with separate retention controls, and that deleting one does not automatically delete the other.
Recording restriction policies are admin-enforced.
The tool should be configurable to automatically block itself from joining specified meeting types, based on external attendees, counterparty domains, or other criteria your compliance team defines. This cannot rely on individual users remembering to turn it off. Policy-level enforcement is the standard compliance teams expect.
For hedge funds, this is the control that governs expert network calls, where the risk is not the recording itself but an unrecorded policy depending on an analyst's judgment mid-call.
Learn more about Fellow's advanced security features and granular recording policies.
Compliance can retrieve specific meeting records on demand.
Your compliance team needs to be able to pull a specific meeting record when a regulatory examination or internal investigation requires it, without having ongoing visibility into all employee meetings. Confirm this capability exists and understand how it works before your CCO conversation.
Per-team access controls are available.
Investment team discussions, HR conversations, and leadership meetings cannot share a visibility layer. At an investment bank, this is the information barrier question: coverage and execution teams need separate visibility within one deployment. Confirm the tool supports team-scoped access controls within a single workspace deployment.
Consent handling is understood and documented.
Recording consent requirements at finance firms can be more complex than a simple notification at call start, particularly for IR teams or regulated roles interacting with investors. Understand what the tool supports and where the gaps are before compliance raises them.
MNPI handling is more than a retention setting.
Retention controls what happens to a record. They do not tell you whether a conversation contained something your compliance team needs to look at. Ask whether the tool can surface potential MNPI or PII for review, and whether that review produces a logged record: who examined it, what they found, and why it was closed. Most tools in this category offer access logs, which record who opened a file, not supervision, which records what was reviewed.
If any of those compliance controls sound like gaps you're trying to close right now, Fellow was built specifically for this.
Deployment and IT
SSO and Entra ID provisioning are supported.
The tool should integrate with your existing IAM infrastructure through OAuth/OpenID Connect-based SSO (Okta, OneLogin, Custom OpenID) and Entra ID SCIM provisioning. This eliminates the need for a separate identity layer managed outside your standard controls.
Deployment is IT-light.
Confirm the tool can be deployed without heavy integration work or custom onboarding. Calendar sync, SSO, and self-serve end-user onboarding should be standard. A phased rollout, starting with a department or team and expanding, should be manageable without hand-holding at every step.
Botless recording availability on your OS is confirmed.
Botless recording, which captures system audio with no visible bot joining the call, removes participant friction in sensitive meetings. Availability has differed between Windows and Mac. If your firm is Windows-based and botless recording is part of your evaluation, confirm its current status on your specific OS and Teams version before it becomes load-bearing in your business case.
In-person capture is confirmed if your firm needs it.
Management meetings, on-site diligence, and portfolio company reviews often happen in a room rather than on a call. Confirm whether the tool captures in-person conversations with speaker attribution, and on which devices.
Microsoft Teams integration depth is understood.
There's a difference between a tool that joins Teams meetings and one that integrates with Microsoft infrastructure at the admin level. Understand what the integration actually looks like (calendar sync via Graph API, admin policy controls) before you assume it's equivalent to native.
Integrations
CRM integration is verified against your actual CRM.
Automated CRM logging is one of the most valuable workflows for PE operations teams, but integration depth varies significantly by CRM. DealCloud, Affinity, and Salesforce have very different integration landscapes across AI meeting assistants. Verify the current status against your firm's actual CRM before it becomes a centerpiece of your business case. Fellow integrates natively with Salesforce; DealCloud and Affinity are possible through Fellow's API rather than a native connector.
Archiving requirements are understood early.
If your firm routes all electronic communications through Global Relay or Smarsh, confirm whether a native integration exists before you get deep into the evaluation. Surfacing this early is better than discovering it as a compliance blocker at the finish line.
Questions to ask any vendor
Before finalizing your evaluation, get written answers to all of these:
Do you train on customer meeting data? Is this confirmed in the DPA?
Where is data stored? Who are your sub-processors?
Are transcript and recording retention policies enforceable independently at the admin level, with no user-level override?
Does the tool support zero-day deletion of recordings and transcripts independently? Do AI summaries persist after deletion?
Do recording restriction policies operate at the policy level, not the user level?
Can the tool surface potential MNPI or PII for compliance review, and does that review produce a logged record with dismissal reasons?
How does compliance retrieve specific meeting records for audit purposes?
What is the current status of botless recording on Windows?
Do you capture in-person meetings with speaker attribution, and on which devices?
What is your SOC 2 Type II certification status?
What is your Global Relay integration status?
What does Entra ID provisioning look like at the admin level?
A vendor who can answer all of these clearly and in writing is ready for a regulated finance deployment.
Why finance firms choose Fellow
Most AI meeting assistants are designed for general business use. Fellow is built for organizations where governance, security, and compliance aren't negotiable.
Here's what that looks like in practice.
Fellow does not train on your data
This is the single most important thing a finance compliance team needs to hear. Your meeting content, transcripts, and summaries are never used to train or improve Fellow's models. Data is isolated at the customer level. This is confirmed in Fellow's data processing agreement.
Governance controls compliance teams specifically look for
Fellow's privacy controls are built for the way finance firms actually interpret compliance requirements. Regulated firms govern AI-generated meeting content differently depending on their obligations, and Fellow is configurable across that range.
Zero-day deletion and independent retention schedules let your compliance team set separate policies for recordings and transcripts at the workspace level, enforced consistently across all meetings with no user-level override. Delete raw recordings immediately after processing while retaining transcripts for a defined period. Delete both immediately. Or retain both on a longer schedule that maps to your SEC Rule 204-2 obligations. Even with zero-day deletion of recordings and transcripts, AI-generated summaries, action items, decisions, and key takeaways remain accessible, so you preserve the operational value without the raw data risk.
Admin-enforced recording restriction policies automatically prevent Fellow from joining sensitive meetings at the policy level, regardless of individual user behavior. You define the criteria (external attendees, counterparty domains, keywords). Fellow enforces it.
Compliance review with a logged outcome. Fellow's AI trackers surface potential MNPI or PII, move matches from flagged to closed, and log dismissal reasons with team comments. This is the control that distinguishes supervision from storage: your compliance team holds a record of what was examined and why it was cleared, not just a log of who opened which file.
On-demand record retrieval gives compliance the ability to pull specific meeting records for regulatory audit purposes through the Super Admin API, without ongoing visibility into all employee meetings. The same API provides audit-ready deletion logs.
Team-scoped workspace channels ensure that investment team, HR, and leadership meeting recordings are inaccessible to each other within the same deployment. For banks running information barriers, coverage and execution teams stay separated inside one workspace.
Audit log tracks administrative actions, configuration changes, and meeting access events, standard for any enterprise tool deployed at a regulated firm.
Structured notes for the meetings your firm actually runs
Custom AI note templates by meeting type produce structured outputs rather than generic summaries: management meeting notes, diligence call recaps, investment committee materials, and portfolio company reviews for PE firms; expert call and management access notes for hedge funds; roadshow, client coverage, and deal execution records for banks.
IT-light deployment for lean infrastructure teams
Fellow deploys with OAuth/OpenID Connect-based SSO and Entra ID provisioning, calendar sync, and self-serve end-user onboarding. No heavy integration work, no custom implementation. A phased rollout starting with department heads and expanding is manageable for a one- or two-person IT team without ongoing support burden.
Built for the Microsoft environment
Fellow integrates with Microsoft Teams, Outlook, and Entra ID, the infrastructure stack most PE firms and hedge funds run on. Botless recording options reduce participant friction in sensitive counterparty meetings, with no visible bot joining the call.
What finance IT leads say about Fellow
"We piloted 4 different tools and landed on Fellow."
"Fellow beat out everyone on security and privacy. Others didn't even ask for permission before joining calls."
"I heard about Fellow through a network of hedge fund and fund-of-fund CTOs. It came referred as the tool with good controls."
Frequently asked questions
What should finance firms look for in an AI meeting notetaker?
Finance firms evaluating AI meeting notetakers should prioritize: SOC 2 Type II certification, a written commitment in the DPA that the vendor does not train on customer data, admin-enforced retention and recording restriction policies, independent retention controls for recordings and transcripts, compliance review that produces a logged outcome, on-demand record retrieval for compliance audits, and team-scoped access controls. Tools built for general business use often lack the governance layer that regulated environments require.
What is the best AI meeting notetaker for private equity firms?
The best AI meeting notetaker for a private equity firm is one that enforces retention and recording policy at the admin level, produces structured notes for management meetings, diligence calls, investment committee sessions, and portfolio reviews, and gives compliance a reviewable record rather than just a stored one. Fellow supports independent zero-day deletion for recordings and transcripts while preserving AI summaries, admin-enforced recording restrictions, and Super Admin API retrieval for examination requests. Verify DealCloud or Affinity integration status against your own stack, since that is where tools in this category differ most.
What is the best AI notetaker for hedge funds?
Hedge funds should weigh MNPI handling most heavily, because an expert network call can become a compliance matter faster than a retention policy can be reconfigured. Look for admin-enforced recording restrictions that cannot be overridden mid-call, independent retention schedules for recordings and transcripts, and compliance review that surfaces potential MNPI with a logged outcome. Fellow supports all three, and its recording restrictions can be scoped by attendee, counterparty domain, or keyword.
How do AI meeting notetakers handle compliance at hedge funds and PE firms?
Compliance-ready AI meeting tools give administrators centralized control over retention policies, recording restrictions, and access permissions, enforced at the workspace level rather than relying on individual users. Verbatim transcripts and AI-generated summaries should be governed as separate artifacts with separate retention rules, since they carry different legal implications. The right tool supports independent deletion schedules for recordings and transcripts, so firms can minimize raw data retention while preserving the AI-generated outputs that drive operational value.
What is zero-day deletion and why does it matter for finance firms?
Zero-day deletion means raw recordings and verbatim transcripts are automatically deleted immediately after processing, with no raw data retained beyond that point. For regulated firms, this addresses data minimization requirements and reduces the risk of sensitive content being retained longer than necessary. With Fellow, zero-day deletion can be applied to recordings and transcripts independently, and AI-generated summaries, action items, and decisions remain accessible even after raw content is deleted.
Is it safe to use an AI notetaker for meetings that contain MNPI?
It can be, but only with the right controls in place. Confirm in writing that the vendor does not train on your meeting data, that data is isolated at the customer level, and that admin-enforced recording restriction policies can prevent the tool from capturing meeting types that should not be recorded. Fellow supports zero-day deletion of raw recordings and transcripts, so sensitive content isn't retained longer than necessary, while AI-generated summaries and action items remain accessible for operational continuity. Fellow's AI trackers also surface potential MNPI for compliance review, with flagged-to-closed states and logged dismissal reasons.
Can AI meeting notetakers integrate with DealCloud or Salesforce?
Integration depth varies significantly by tool and by CRM. DealCloud, Affinity, and Salesforce have different integration landscapes across AI meeting assistants. Verify current integration status against your firm's actual CRM as part of the evaluation process, before CRM logging becomes a centerpiece of your business case.
Fellow integrates natively with Salesforce. DealCloud and Affinity are possible via Fellow's API rather than a native connector.
What is botless recording and why does it matter for finance meetings?
Botless recording captures system audio without a visible bot joining the meeting. For finance firms, this reduces participant friction in sensitive meetings, particularly with counterparties or investors who may be uncomfortable with a visible recording bot. Botless availability can differ between Windows and Mac, so confirm current OS support before building it into your evaluation criteria.
Start your Fellow evaluation
If you're evaluating AI meeting tools for your PE firm or hedge fund, the compliance conversation is coming regardless. The difference is whether you're prepared for it or caught off guard by it.
Fellow's team is familiar with the compliance questions finance firms ask and will come to the conversation prepared.
Record, transcribe and summarize every meeting with the only AI meeting assistant built with privacy and security in mind.
