Best AI Note Takers for Asset Managers in 2026

Asset managers handle some of the most sensitive conversations in finance. An LP update call, an investment committee review, a management team research call — each one may touch on material non-public information, investment theses not yet public, or confidential counterparty discussions. The stakes for using the wrong recording tool are not merely operational. They're legal.

Most AI notetakers were built for general business productivity. Their data policies, training practices, and recording architecture were designed for a software sales team or a marketing standup — not for environments where a visible recording bot in a call participant list could signal to a counterparty that the conversation is being captured, or where a verbatim transcript stored indefinitely on a third-party server creates discovery exposure.

This guide evaluates five AI note takers relevant to asset management teams — hedge funds, RIAs, PE and VC firms, and family offices — on the criteria that compliance teams and operations leads actually care about: data retention controls, compliance certifications, recording architecture, and how these tools fit into real investment workflows.

What to Look for in an AI Note Taker for Asset Management

Before evaluating tools, these are the criteria that should be on your compliance team's checklist:

Botless recording. A recording bot that appears as a visible participant in a Zoom or Teams call alerts every attendee — including counterparties — that the call is being captured. For management team calls, LP conversations, and ODD sessions, this creates relationship and consent complications. Botless tools capture audio natively from the desktop without joining as a participant.

Configurable data retention, including zero-day options. Raw recordings and transcripts stored indefinitely on a third-party server expand your discovery exposure and create ongoing regulatory risk. The ability to configure automatic deletion — including zero-day deletion of recordings and transcripts immediately after AI processing — is a meaningful control for teams managing MNPI exposure.

Contractual, not just stated, data non-training commitments. "We don't train on your data" on a marketing page is not a compliance control. What matters is whether this commitment appears in the Data Processing Agreement and vendor contract, where it creates legal accountability.

SOC 2 Type II certification. This is the baseline expectation for any vendor handling sensitive financial data. Type II (as opposed to Type I) means controls were independently audited over a sustained period, not just assessed at a point in time.

HIPAA and GDPR coverage, with appropriate scoping. HIPAA matters primarily for firms with healthcare-adjacent LP bases or that operate in clinical-investment contexts. GDPR matters for any firm with EU-based investors, employees, or portfolio companies. Both typically require enterprise-tier agreements and signed addenda (BAA for HIPAA, DPA for GDPR).

Pause and resume recording. The ability to pause mid-meeting — removing the paused content from the transcript — is a practical control for privileged moments, personnel discussions, or off-the-record segments.

Transcript redaction. Post-meeting ability to remove sensitive information before summaries or transcripts are shared or synced to connected systems.

Granular admin controls. The ability to set recording policies by meeting type, participant domain, or attendee — and to lock down self-service signups — matters for enterprise deployments. One employee using a personal free account to record a client call is a governance failure that admin controls can prevent.

Best AI Note Takers for Asset Managers in 2026

Fellow

‍Best for: Asset management teams requiring institutional-grade compliance controls with full botless recording across all platforms

Fellow is an AI meeting assistant that captures, transcribes, and summarizes meetings — with a security and governance architecture purpose-built for regulated environments.

The most material differentiator for asset management teams is how Fellow handles recording architecture and data governance together. Botless recording works from the desktop app across every major platform — Zoom, Google Meet, Microsoft Teams, Slack huddles, phone calls, and in-person or hybrid meetings. No visible participant joins the call. For external counterparty calls and LP meetings where a recording bot would raise questions, this keeps the conversation professional without sacrificing documentation.

On the data side, Fellow offers configurable zero-day retention: workspace administrators can configure recordings and transcripts to be deleted immediately after AI processing, while AI-generated summaries and action items are preserved. This is not a marketing statement — it's a documented, admin-configurable control. The underlying compliance certifications are SOC 2 Type II, HIPAA, and GDPR. Fellow explicitly commits in its data processing agreements that customer data is never used to train AI models.

Governance controls go beyond certifications. Admins can configure recording policies at the organization, team, or individual level — specifying which meeting types are always captured, never captured, or left to user discretion. Domain-based blocking can prevent Fellow from recording meetings where specific counterparties or legal counsel are present. Transcript redaction, pause and resume recording, and access permissioning allow teams to govern exactly what stays in the record. The Super Admin API enables programmatic retrieval of meeting records and audit-ready deletion logs — relevant for regulatory examination readiness.

The Ask Fellow agent adds a post-meeting intelligence layer: natural-language queries across the firm's entire meeting history can surface what was committed to in the last three LP calls, what was decided in the Q3 IC review, or what follow-ups remain open from a portfolio company board meeting.

Key features: Botless and bot-based recording (switchable per meeting), zero-day retention, SOC 2 Type II + HIPAA + GDPR, no AI training on customer data, transcript redaction, pause and resume, information barrier policies, SSO + SCIM, Ask Fellow agent, 50+ native integrations including Salesforce and HubSpot, Super Admin API

Pricing: Team $7/user/month (annual); Business $15/user/month; Enterprise $25/user/month. Compliance-critical features — HIPAA BAA, ZDR configuration, SSO, SCIM, and granular admin controls — require Business or Enterprise tier.

Limitations: Botless recording requires the desktop app to be installed, which may require IT approval in locked-down enterprise environments. The free and Team plan tiers cap AI recording credits and lack the compliance controls that regulated firms need — meaningful evaluation requires Business or Enterprise access. Enterprise pricing for large deployments requires contacting sales rather than self-serve signup.

Fathom

‍Best for: Individual analysts or small teams who want a generous free tier

Fathom is an AI meeting assistant known for its generous free plan and fast summary generation. It holds SOC 2 Type II, HIPAA, and GDPR certifications — a meaningful compliance baseline.

One important nuance for asset management evaluators: Fathom's botless recording is not uniform across platforms. On Google Meet, Fathom can avoid a visible meeting participant by pairing the desktop app with a Chrome extension. On Zoom and Microsoft Teams, Fathom still joins as a visible participant. For firms whose calls move across platforms — which is common in buy-side environments — this is a practical limitation that's worth testing before committing.

Fathom was acquired by QuestionPro in April 2026. The combined entity cites expanded security certifications including PIPEDA compliance, but the long-term product roadmap and governance posture under new ownership should be assessed during any due diligence process.

There is no documented zero-day retention option, and custom data retention settings are not available below enterprise tier. For smaller funds or individual analysts on Google Meet who want strong basic compliance without complex enterprise deployment, Fathom is worth evaluating. For teams with cross-platform recording needs or institutional governance requirements, the platform limitations warrant caution.

Key features: SOC 2 Type II + HIPAA + GDPR, fast AI summaries, native CRM integration (HubSpot and Salesforce), generous free tier, botless on Google Meet only

Pricing: Free tier (unlimited recording); paid plans from approximately $19/user/month for Team Edition

Limitations: Botless recording only on Google Meet — visible bot on Zoom and Teams. No mobile app. No documented zero-day retention. No custom retention below enterprise tier. Recent acquisition by QuestionPro introduces product continuity uncertainty.

Fireflies

‍Best for: Teams already in a Fireflies workflow and can move to Enterprise tier

Fireflies is a widely used AI meeting assistant serving a large user base across industries. It holds SOC 2 Type II, HIPAA, and GDPR certifications, making it one of the more compliance-complete tools in the general market.

The compliance caveats matter for asset management evaluators. HIPAA compliance — including the Business Associate Agreement required for regulated healthcare-adjacent contexts — is available only on the Enterprise plan ($39/user/month annual). Custom data retention settings are similarly gated to Enterprise. The AI credits system can produce unexpected costs: features like AskFred and advanced AI summaries consume monthly credits that are capped even on paid plans, and heavy users regularly exhaust their allotment.

Fireflies launched a desktop app in November 2025 enabling botless recording, available on Pro, Business, and Enterprise plans — but not on the free tier. This is a meaningful recent development for teams evaluating the tool on privacy grounds, though it's newer than Fellow's botless implementation and carries less field history in regulated environments.

Third-party reviewers have raised concerns about Fireflies' privacy policy in the context of sensitive call recordings — specifically around data usage and third-party sharing language. Teams with strict data governance requirements should review the current DPA and privacy policy directly before deployment rather than relying on summary descriptions.

Key features: SOC 2 Type II + HIPAA (Enterprise) + GDPR, botless recording via desktop app (Pro and above), custom data retention (Enterprise), SSO, CRM integrations (Salesforce, HubSpot), searchable meeting library

Pricing: Free; Pro $10/user/month (annual); Business $19/user/month; Enterprise $39/user/month. HIPAA BAA and custom retention require Enterprise.

Limitations: Botless recording not available on free plan. HIPAA and custom data retention gated to Enterprise. AI credit system can generate unexpected overages. Privacy policy language has drawn scrutiny from third-party reviewers — direct DPA review recommended for regulated deployments.

Read AI

‍Best for: Teams prioritizing meeting analytics and engagement scoring alongside transcription

Read AI is an AI meeting assistant with a focus on meeting intelligence — transcription paired with engagement scoring, sentiment analysis, and speaker analytics. It holds SOC 2 Type II and GDPR certification across all tiers. HIPAA compliance with a signed BAA is available, but only on the Enterprise+ plan, which carries a 10-user minimum and costs $39.75/user/month on annual billing.

For asset management compliance teams, the recording architecture is a significant consideration. Read AI operates as a visible bot that joins meetings via calendar integration. A documented pattern of user complaints — reflected in low Trustpilot ratings and reported cases of organizations blocking Read AI on Zoom and Teams — involves the bot joining meetings without explicit consent from all participants. Read AI sends meeting summaries to all calendar invitees, including external participants, which is a data sharing behavior that requires deliberate configuration to limit in sensitive call environments.

Where Read AI is stronger is in the analytics layer: engagement scoring, talk-time analysis, and meeting quality metrics that teams interested in understanding conversation patterns may find valuable. For asset management teams primarily seeking compliant documentation of high-stakes conversations rather than meeting analytics, other options in this list are better fits.

Key features: SOC 2 Type II + GDPR (all tiers), HIPAA BAA (Enterprise+ only), engagement scoring, sentiment analysis, meeting quality metrics, custom data retention (contact support)

Pricing: Free (5 meetings/month); Pro $19.75/user/month; Enterprise $29.75/user/month; Enterprise+ $39.75/user/month (10-user minimum required). HIPAA requires Enterprise+.

Limitations: Visible bot only — no botless option. User-reported behavior of bot joining meetings without explicit participant consent. Low user satisfaction scores on third-party review platforms. HIPAA gated to highest tier with 10-user minimum. Botless recording not available.

Jamie

‍Best for: Individual analysts or small teams in Europe wanting botless recording with GDPR-first data handling

Jamie is a bot-free AI note taker built by a German company and operated under EU data protection law. All audio and transcripts are stored on Frankfurt servers, audio is permanently deleted after transcription, and the platform explicitly commits to never using customer data for AI model training. For individual asset managers or small teams whose primary compliance driver is GDPR and who want botless recording without enterprise deployment complexity, Jamie occupies a distinct niche.

The compliance gap that matters for US-regulated firms: Jamie does not publicly document SOC 2 Type II or HIPAA certification. For asset managers operating under SEC and FINRA oversight, or for enterprise procurement processes that require SOC 2 as a vendor prerequisite, this is a material limitation. Jamie is GDPR-compliant with strong EU data residency, but the absence of SOC 2 Type II places it outside the compliance baseline that most institutional buyers require.

Jamie's summary quality is well-regarded, particularly for multi-speaker calls in financial services contexts, and it supports 100+ languages. It works across any meeting platform and for in-person recordings. The platform is designed for individual professionals rather than enterprise-wide governance — there are no admin controls for centralized recording policies, access permissioning, or workspace-level retention settings.

Key features: Fully botless (desktop app, any platform, in-person), GDPR with EU data residency, audio deleted after transcription, no AI training on customer data, 100+ languages, finance-aware summaries

Pricing: Starts at approximately $24/user/month; contact Jamie for current plan details

Limitations: No SOC 2 Type II or HIPAA certification documented — a meaningful gap for US-regulated firms and enterprise procurement. No admin controls, centralized retention policy, or access permissioning. Designed for individual users, not enterprise-wide governance. Not suitable for teams requiring US-regulated compliance documentation.

How Asset Managers Use AI Note Takers in Practice

The most common use cases across asset management firms map to specific compliance considerations:

LP update calls and fundraising conversations. These are among the most sensitive calls a fund runs — involving information about portfolio performance, fund terms, and investor-specific details. The compliance priority here is minimizing data exposure: botless recording to avoid alerting LPs to a recording bot, zero-day retention to eliminate long-lived transcripts, and access permissioning to ensure LP call summaries are visible only to authorized personnel.

Investment committee meetings. IC meetings often involve active theses, position sizing discussions, and material non-public analysis. Pause and resume recording is valuable for moments when discussion moves to areas the fund prefers not to have in the record. Redaction tools allow post-meeting cleanup before summaries are shared.

Management team research calls. Sell-side-style calls with management teams where botless recording is the only practical option — a visible recording bot would be conspicuous and raise consent questions with counterparty executives.

Portfolio company board participation. Board meetings may involve attorney-client privileged discussions or personnel matters. Pause and resume recording, and domain-based blocking of specific participants, are the relevant controls here.

Analyst briefings and earnings analysis. Lower-sensitivity use cases where the primary driver is productivity — accurate summaries, action item extraction, and the ability to query across past calls for context on a position or sector.

Security Questions to Ask Any AI Note Taker Before Deploying

Where is meeting data stored, and for how long?Look for specific answers: data center region, retention period for raw recordings versus transcripts versus AI summaries, and whether default retention settings can be overridden at the admin level. "Secure cloud infrastructure" is not an answer — a specific region, a specific retention period, and a documented admin-configurable deletion schedule are.

Can recordings and transcripts be automatically deleted after AI processing?Zero-day retention means raw recordings and transcripts are deleted immediately after summaries and action items are generated, rather than being retained as long-lived data assets. This is a configurable control in some tools (Fellow, and some Enterprise tiers of others) and absent entirely in others. Ask for this specifically.

Is there a way to pause recording mid-meeting, and does the pause get logged?Pausing recording is useful. A documented pause log — recording the timestamp and duration of the pause — creates a defensible record of what was intentionally not captured, which is a meaningful distinction for regulatory examination contexts.

Does it join meetings as a visible participant?A bot visible in the participant list alerts all attendees, including external parties. Ask specifically whether the tool joins as a named participant, and whether botless recording is available on all platforms your team uses — not just Google Meet.

What certifications does it hold, and at which tier?SOC 2 Type II should be the floor. For healthcare-adjacent contexts, verify that a HIPAA BAA is available under your specific plan, and that it's backed by a signed agreement rather than a policy statement. Ask to see the certification documentation, not just the badge.

Does the vendor contractually commit to not training on customer data?This commitment should appear in the Data Processing Agreement or Master Services Agreement — not just on a website. If the vendor can't point you to the specific contract language, the commitment doesn't carry legal weight.

How to Choose the Right Tool for Your Firm

The right choice depends on the firm's compliance profile, team size, and primary use cases.

For institutional asset managers — hedge funds, PE firms, large RIAs — with active compliance programs, enterprise IT requirements, and cross-platform meeting environments, Fellow is the most fully documented option across the criteria that matter: botless recording on all platforms, configurable zero-day retention, SOC 2 Type II + HIPAA + GDPR, contractual data non-training commitments, and enterprise admin controls. Compliance features require Business or Enterprise tier.

For individual analysts or small funds running primarily on Google Meet who want strong basic compliance and don't need enterprise governance infrastructure, Fathom is worth evaluating, with the caveat that botless is limited to Google Meet and custom retention controls are absent below enterprise tier. The recent acquisition by QuestionPro is a variable worth monitoring.

For teams already in a Fireflies workflow that need to upgrade to HIPAA compliance, Fireflies Enterprise closes the compliance gap — but requires the $39/user/month tier and a direct review of the DPA for sensitive financial use cases.

For European firms or individual professionals whose primary compliance driver is GDPR and who want fully botless recording without enterprise overhead, Jamie is the strongest EU-focused option — with the clear caveat that SOC 2 Type II and HIPAA documentation are absent, making it unsuitable for US-regulated institutional deployment.

Read AI has the analytics capability that meeting-intelligence-focused teams may find compelling, but the visible-bot architecture, reported uninvited-join behavior, and high compliance tier requirements make it a harder fit for the core asset management use case.

One tool not included in this roundup: Otter.ai. As of drafting, Otter is subject to consolidated federal class-action litigation (In re Otter.AI Privacy Litigation, N.D. Cal.) alleging that the platform recorded participants without consent and used recordings to train its AI models. The litigation is ongoing. Regulated-industry buyers evaluating Otter should assess this exposure as part of their vendor due diligence.

FAQ

What compliance certifications should an AI note taker have for asset management?

‍SOC 2 Type II is the baseline. It provides independent, sustained-period verification that the vendor's security controls operate effectively — not just that they exist on paper. GDPR compliance with a signed Data Processing Agreement matters for firms with EU exposure. HIPAA BAA availability matters for healthcare-adjacent fund contexts. Beyond certifications, asset managers should verify contractual commitments around data retention and AI training separately from certification status.

Does an AI meeting bot create regulatory risk for asset managers?

‍Not inherently, but the design matters significantly. A visible recording bot that joins as a meeting participant raises consent issues with external counterparties and may create complications in multi-state recording consent environments. Data stored indefinitely on a third-party server expands discovery exposure. Tools with botless recording, zero-day retention, and contractual data governance commitments are designed to minimize these risks — but no off-the-shelf tool eliminates regulatory exposure entirely. Firms should design their own policies around whatever tool they deploy.

What is zero-day data retention for AI notetakers?

‍Zero-day retention means the raw recording and transcript are deleted immediately after AI processing completes — typically within minutes of the meeting ending. The AI-generated outputs (summary, action items, key decisions) are preserved. What's eliminated is the verbatim, long-lived audio and text record that would otherwise accumulate as a data asset subject to discovery. This is a configurable admin control in some tools, not a default.

Can AI note takers handle in-person meetings and hybrid calls?

‍Yes, but capability varies. Botless tools that capture audio from the desktop — Fellow, Jamie, and Fathom (with limitations) — can record in-person meetings as long as a device with the app installed is present. Bot-based tools that join via calendar link cannot record in-person meetings. For board meetings, off-site sessions, and in-person portfolio company visits, botless capability and in-person recording support are relevant selection criteria.