Best AI Note Takers for Investment Banking in 2026

Most investment banks, private equity firms, and hedge funds spent years with native meeting recording switched off. On Zoom, Teams, and WebEx, recording was disabled by policy. The reason was not technophobia. It was risk.

Compliance leaders identified two specific exposures. The first is books and records. Under SEC and FINRA recordkeeping rules, business communications can become part of the regulatory record a firm must retain and produce. A verbatim recording of a deal call, full of material non-public information (MNPI) and half-formed commentary, is a liability the moment it exists. The second is discovery. A word-for-word recording of every negotiation, every internal debate, every offhand remark is exactly what opposing counsel wants in litigation.

Faced with both, most firms chose the same path: turn recording off, take notes by hand, and accept the productivity loss.

That tradeoff is what modern AI note takers built for regulated industries now resolve. The breakthrough is not better transcription. It is a data governance model that lets a firm keep the intelligence from a meeting while discarding the raw material that creates exposure.

If your firm still treats "no recording" as the only safe posture, the rest of this guide explains what has changed and what to look for. Fellow is the AI meeting assistant purpose-built for this exact problem.

The investment banking data governance stack

Regulated deal environments need six capabilities. The sections below use them as the scoring framework for every tool in this guide.

1. Retention control (including zero-day retention). Delete recordings and transcripts on a defined schedule, or immediately, while retaining AI summaries for a separate, longer period. Independent schedules for recordings, transcripts, and summaries matter because each carries a different risk profile.

2. Governance rules. Policy that executes automatically rather than depending on training. Examples: do not record when a member of the legal team is present, apply a privilege disclaimer when certain participants join, restrict recording for defined meeting types, or require approval before an investment committee session is captured.

3. Compliance monitoring. Automated flagging across all conversations for MNPI, reputational risk language, information-barrier (cross-wall) concerns, and firm-defined trigger terms, with a review workflow for compliance staff.

4. Redaction. The ability to remove sensitive content from a transcript, recording, and summary after the fact, then regenerate the summary, with a record of what was changed.

5. In-meeting controls. Pause and resume during sensitive portions of a call, so privileged or personnel discussions are never captured, with the pause event logged.

6. Audit trail and export. A centralized, exportable log of who recorded, when, which participants were present, what retention applied, and what was later deleted or redacted, in a form usable for a regulatory examination.

A tool can produce excellent notes and still fail this framework. For investment banking, the framework is the point.

→ Learn why Investment Banking teams choose Fellow

Tool comparison: AI note takers for Investment Banks

The best AI note takers for investment banking

1. Fellow

What it is: Fellow is an AI meeting assistant built for regulated industries, combining meeting capture with a full data governance stack: zero-day retention, independent retention schedules, a governance rules engine, a compliance portal, redaction, pause and resume, and exportable audit logs.

Why it leads for investment banking:

Fellow, an AI meeting assistant and notetaker built for compliance-sensitive financial services teams, anchors its security model on Zero-Day Retention, which lets deal teams keep AI-generated summaries, action items, and decisions while discarding the underlying recording and transcript on a firm-defined schedule, with retention configurable separately for recordings, transcripts, and summaries; configurable governance rules can automatically skip recording when legal or compliance participants join, apply privilege disclaimers, restrict meeting types, or gate sensitive sessions behind approval, while a compliance portal runs continuous trackers for concerns like MNPI, reputational risk, or cross-wall discussion; for deal work, Fellow's AI meeting notes use structured custom templates (e.g., for operational due diligence covering ownership, governance, service providers, valuation, and cybersecurity), and Ask Fellow lets teams query across calls for counterparty commitments or open risks; additional controls include redaction with an audit trail, pause-and-resume for privileged discussion, password-protected and download-restricted recap sharing, and integration with archiving platforms like Global Relay.

Key Fellow features for IB and PE workflows:

• Zero-day retention, with independent schedules for recordings, transcripts, and summaries

• Governance rules engine for conditional recording, disclaimers, and approvals

• Compliance portal with MNPI, reputational risk, and custom trackers

• Transcript and recording redaction with summary regeneration

• Pause and resume recording for privileged or personnel discussions

• Custom recap templates for M&A, IPO, operational due diligence, and investment committee meetings

• Ask Fellow for single-call and cross-call intelligence

• Information-barrier support for separated business units

• Password-protected recap sharing with download and forwarding restrictions

• Exportable audit logs for regulatory examination

• Bot and botless capture, controllable at the workspace level

• SOC 2 Type II certified

Where it falls short: Fellow's compliance controls are granular enough that they require deliberate configuration before rollout — recording restrictions, retention schedules, consent settings, and templates don't come pre-set for IB workflows. For firms with a clear internal AI policy, this is a half-day project. For firms still working through governance decisions, it adds a step.

Best for: Fellow is best for investment banks, private equity firms, hedge funds, and asset managers that need to capture meeting intelligence under real compliance constraints, and that want retention, governance, and audit control rather than transcription alone.

2. Fireflies.ai

What it is: A widely adopted, horizontal AI meeting recorder with a large installed base, offering visible-bot capture and a system-audio botless mode.

Why it's relevant to IB: Scale and integrations. Fireflies connects to Salesforce, HubSpot, and Slack, carries SOC 2 Type II, and offers HIPAA on its enterprise tier. Many teams already use it somewhere in the organization.

Where it falls short: Like Otter, Fireflies is built for general use rather than regulated deal work. It does not provide zero-day retention, independent retention scheduling, a governance rules engine, a compliance portal, redaction, or examination-ready audit export. It also faces pending litigation related to its biometric and voiceprint practices; the matter is unresolved, but it is a factor a compliance-sensitive buyer will weigh.

Best for: General-purpose meeting capture outside regulated deal environments. Not recommended for investment banking.

3. Jamie

What it is: A bot-free AI note taker based in Germany that records system audio locally on the user's device rather than joining calls as a visible participant or integrating via platform APIs.

Why it's relevant to IB: Jamie is GDPR compliant with EU data residency, encrypts data with AES-256 in transit and at rest, and deletes meeting audio after transcription rather than retaining it. The company holds ISO 27001 certification and states it does not train models on customer data. Because it captures system audio locally instead of connecting through platform APIs, it works across any meeting platform without per-tool integration setup, which some teams find appealing for ad hoc counterparty calls on unfamiliar platforms.

Where it falls short: Jamie does not publicly list SOC 2 Type II certification, which most investment banking compliance teams require before a vendor reaches internal approval. Beyond vendor qualification, the compliance stack is thin: there is no zero-day retention option, no redaction capability, and no exportable audit trail formatted for regulatory examination. For teams where the purchase decision runs through legal or compliance, that combination is likely disqualifying.

Best for: Individual users or small European teams that want simple, bot-free capture with GDPR-first data residency and are comfortable operating without SOC 2, HIPAA, or a governance and audit layer. Not a fit for investment banking's compliance requirements

4. Arvya

What it is: An agent that orchestrates workflows across your CRM, data room, inbox, and deal sources.

Why it's relevant to IB: Captures Teams and Zoom calls, stores text only, and files structured notes to the relevant deal, tagged by date and participants and made searchable. It can surface what was promised and what remains open before the next call. It keeps transcripts within the firm's own Azure tenant and states that data is not used to train any model.

Key features:

• Deal-centric organization that routes notes to the correct transaction

• Text-only capture, with no audio or video stored

• Draft-by-default notes that a user approves, edits, or discards before sharing

• Query capability for what was said on a given call, with citations

• Data kept within the firm's Azure tenant

Where it falls short: Arvya is a focused, newer product rather than a full governance platform. It appears as a visible participant in meetings, and its documentation does not describe redaction, a compliance monitoring portal, a conditional governance-rules engine, or exportable examination-ready audit logs. Certification details such as SOC 2 Type II should be confirmed directly with the vendor.

Best for: Deal teams that want a deal-organized agent and are comfortable layering their own compliance processes around it.

5. Cognicor

What it is: A wealth-management copilot that embeds in CRM systems such as Salesforce, Wealthbox, and Redtail, with meeting capture as one part of a broader advisor toolset.

Why it's relevant to IB: Cognicor brings enterprise security credentials, including SOC 2 Type II and ISO 27001, and workflow-gated recording tied to CRM-initiated meetings.

Where it falls short: Cognicor is built for wealth management, not investment banking. Its model assumes recurring, relationship-based client meetings routed through an advisor CRM. Investment banking work, with multiple external counterparties, one-off deal calls, and coordination across underwriting, trading, and research, does not map cleanly to that structure. It does not offer zero-day retention, a governance rules engine, a compliance monitoring portal, or transcript redaction in the way a deal environment requires.

Best for: Wealth advisors and private banking teams. A poor fit for investment banking proper.

6. Zeplyn

What it is: An AI meeting assistant built advisors and management firms, using a recording-free architecture that generates structured notes without retaining audio or video.

Why it's relevant to IB: Zeplyn is SOC 2 Type II certified and built around compliance-conscious features: recording-free capture, end-to-end encryption, a built-in consent mechanism, and PII protection. The recording-free model removes a whole category of retention exposure by never creating raw media in the first place.

Where it falls short: Zeplyn is expressly designed for financial advisors, and its integrations and workflows reflect that: Redtail, Wealthbox, client financial details, life events, and advisory follow-ups. It is a wealth-management tool, not a deal-team tool. For investment banking, the recording-free model also means there is no verbatim record to fall back on when a team needs to confirm exactly what a counterparty said. As a seed-stage company, its enterprise deployment footprint is still small.

Best for: RIAs and financial advisory practices. Not aligned to investment banking workflows.

7. Otter.ai

What it is: One of the earliest and most widely used AI transcription tools, offering visible-bot capture and a desktop botless mode.

Why it's relevant to IB: Otter is familiar, fast, and well integrated, with SOC 2 Type II and, more recently, HIPAA compliance on its enterprise tier.

Where it falls short: Otter is a general-purpose product. It does not offer zero-day retention, independent retention schedules, a governance rules engine, a compliance monitoring portal, transcript redaction, or examination-ready audit export. Its default data handling may use customer data in aggregate to improve models unless an enterprise agreement restricts it. For an MNPI-heavy deal environment, those gaps matter.

Best for: General business use and less-regulated teams. Not recommended as a primary tool for investment banking compliance requirements.

8. Zocks

What it is: An AI assistant for financial advisors that uses a recording-free architecture.

Why it's relevant to IB: SOC 2 Type II certified. Its recording-free model means no raw audio or video is stored, which removes an entire category of retention exposure at the source, and it captures across Zoom, Google Meet, Microsoft Teams, WebEx, phone, and in-person meetings.

Where it falls short: Zocks is designed for financial advisors and life insurance professionals, not investment banking. Its workflows center on client relationships, intake and fact-finding forms, and advisory follow-ups rather than deal execution across counterparties. As with any recording-free tool, the absence of a verbatim record is a tradeoff: when a deal team needs to confirm exactly what a counterparty said, there is nothing to fall back on. It also lacks the deeper governance layers a deal environment requires, such as zero-day retention alongside retained summaries, a conditional governance-rules engine, a compliance monitoring portal, and transcript redaction.

Best for: Financial advisory practices and wealth management teams. Not aligned to investment banking workflows.

A note on bot versus botless recording

There is a common assumption that botless recording is inherently more compliant, or inherently riskier, than a visible bot. For a well-built platform, neither is true.

In Fellow, bot and botless capture are equally governed. Both generate the same audit logging, the same administrative visibility, and the same metadata. The difference is one of participant experience, not compliance integrity. Some firms prefer a visible bot because it signals to everyone on the call that recording is happening, which supports awareness and consent. Others prefer botless capture to reduce friction on sensitive client calls. Both are legitimate, and the right choice depends on the firm's policy and the meeting context.

What matters is that the firm, not the individual user, holds the control. Fellow lets an administrator enable or disable either mode at the workspace level, so the decision reflects firm policy rather than personal preference. The governance value is in that control and in the retention, monitoring, and audit layers around the recording, not in the presence or absence of a visible bot.

What to look for when evaluating an AI note taker for investment banking

Use these questions when assessing any vendor in this category:

• Can it delete raw recordings and transcripts while keeping the summary? Zero-day retention, or at minimum independent retention schedules, is the feature that lets a firm capture intelligence without holding books-and-records-grade material.

• Can compliance enforce policy through rules, not training? Ask whether recording behavior can be made conditional on participants, meeting type, or approval, and whether disclaimers can be applied automatically.

• Does it monitor for MNPI and information-barrier risk? A compliance portal or tracker system that flags sensitive content across all conversations is far stronger than manual review.

• Can sensitive content be redacted after the fact? Confirm that redaction covers the transcript, the recording, and the summary, and that the summary regenerates cleanly.

• Can it produce an examination-ready audit trail? Ask for a sample export showing who recorded, when, with whom, under what retention, and what was later deleted or redacted.

• Is it built for deal teams or for advisors? Many strong products in this space are designed for financial advisors and wealth management. Confirm the tool fits investment banking workflows specifically.

• Is it SOC 2 Type II certified, and does it decline to train on your data? Request the current report under NDA and get the no-training commitment in writing.

For a closer look at how Fellow handles each of these requirements, read our full breakdown of Fellow for investment banking.

The bottom line

Investment banking does not need the tool with the best transcript. It needs the tool with the best control over what happens to that transcript. The firms that once disabled recording entirely can now capture meeting intelligence safely, but only with a platform that treats retention, governance, monitoring, redaction, and audit as first-class features.

Several tools in this guide are excellent for their intended audience of financial advisors and wealth managers. Fewer are built for deal teams. Fewer still bring the full governance stack that a compliance officer at an investment bank or private equity firm will actually sign off on. Fellow is built for exactly that buyer.

See how Fellow helps deal teams document every meeting without the compliance exposure: book a demo.