Comparisons

Junior vs Fellow vs Otter.ai for private equity

Which AI note taker fits a private equity investment team, scored on the criteria that decide a diligence process and a compliance review.

ForInvestment and diligence teams at PE funds, strategy consultancies and advisors

The short answer

Junior is the AI note taker built for investment and diligence teams in private equity. It captures every expert call and meeting, turns it into answers your team can trust, and gives compliance control of all of it, with direct pipelines from nearly all of the leading expert networks and a custom entity engine for company, product and people names and figures.

Fellow and Otter.ai are cross-industry meeting tools; Fellow lists legal, healthcare, HR and sales use cases alongside finance. An investment team can use either for internal meetings, and the differences show up on expert interviews, management calls and diligence readouts, where a wrong company name or figure ends up in an investment committee paper.

In Junior’s own benchmark on public earnings-call audio, Junior recorded a lower entity error rate than Otter.ai, Fireflies and Granola. Fellow was not part of that benchmark, so this page makes no accuracy claim about Fellow.

The criteria investment teams score on

A private equity buying committee typically scores an AI note taker on six criteria, and the first three decide whether the tool survives a compliance review at all.

Compliance control: MNPI screening on every call, rules set once by compliance, ethical walls and an audit trail, then the basics of retention, model training and independent audit.
Accuracy on deal vocabulary: company names, product lines, people and figures.
Expert network and diligence call coverage: whether the audio reaches the tool without manual steps.
Firm memory: whether a call from last year is found when a company comes back as a target.
Capture: whether calls can be recorded with a bot, without one, by upload and straight from expert networks.
Customer proof: adoption and satisfaction among firms in the same position.

Scorecard

The scorecard sets Junior’s documented position against what Fellow publishes on its own pages and what a buyer should ask Otter.ai to confirm in writing, one criterion per row.

Criterion	Junior	Fellow, per its own pages	Otter.ai
MNPI	Every call screened for MNPI and the firm’s own rules; compliance reviews findings, not calls, with ethical walls and a full audit trail.	AI trackers for potential MNPI or PII in a compliance portal.	Ask how potential MNPI is flagged and by whom.
Retention control	Separate retention for audio, verbatim transcript, cleaned transcript and summary.	Separate schedules for recordings, transcripts and AI notes, plus an optional zero-day mode, on Enterprise plans.	Ask which settings exist on the plan on offer.
Entity accuracy	Entity error rate of 6.1% on public earnings-call audio in Junior’s benchmark, lower than Otter.ai, Fireflies and Granola.	Not benchmarked; no claim made.	Higher entity error rate than Junior in the same benchmark.
Expert network calls	Direct pipelines from nearly all of the leading expert networks.	Recording rules can block capture, or allow it with compliance review, by title keyword or attendee domain; no expert network integrations are named on the pages reviewed.	Ask which expert networks integrate directly.
Firm memory	Alexandria, the firm’s knowledge base, searches approved conversations by deal, sector, client or attendee; Insights Grid verifies a source in one click.	Ask Fellow searches the meeting history a user can access, in plain language.	Ask whether search spans the firm.
Capture routes	Botless capture with the Junior desktop app, the Junior mobile app for in-person meetings, a meeting bot on Zoom, Teams, Meet or Webex, file upload and direct expert network pipelines.	Bot, desktop botless recording (Mac and Windows), Zoom native capture and mobile capture.	Ask which routes the plan includes.
Model training	Zero data retention agreements with every underlying model provider; call data is never stored, trained on or reused.	States that it never trains on customer meeting data. Its pages reviewed do not say whether it holds zero data retention agreements with its model providers.	Not reviewed for this page; ask for the clause and the model provider list in writing.
Certification	SOC 2 Type II; call data stored on Junior’s own infrastructure.	SOC 2 Type II, HIPAA and GDPR; AES-256 encryption.	Ask for the current SOC 2 Type II report.

Sources: Junior homepage and comparison page; Fellow llms.txt, private equity page and private equity guide, reviewed 11 November 2026. Junior has not reviewed Otter.ai’s documentation for this page, so that column lists what to ask rather than what Otter.ai offers.

Accuracy on deal vocabulary

On public earnings-call audio, Junior recorded a lower entity error rate than Otter.ai, Fireflies and Granola in Junior’s own benchmark, which matters because entities are the company names, products and people that end up in a deliverable.

A one-hour call runs to roughly 9,000 words, and the company names, product lines and figures an analyst will quote account for about 200 of them. Junior’s custom entity engine is built for those names and figures. Junior reports word, number, entity and key point error rates separately, and on that audio its entity error rate was 6.1%, against 58.2% for Otter.ai, 71.5% for Fireflies and 75.3% for Granola (English-only configuration). The full table is on the Junior comparison page.

The benchmark is Junior’s own and covers one type of audio. Fellow was not included, so the only reliable comparison with Fellow is a test on your own audio, described in the last section.

Expert network calls and firm memory

Junior connects directly to nearly all of the leading expert networks, so expert call audio arrives in Junior automatically and is indexed alongside the firm’s other calls.

Alexandria is Junior’s knowledge base for the firm, in which approved expert calls and BD conversations are searchable by deal, sector, client or attendee. A company mentioned in passing on a call eighteen months ago can be found when it returns as a target, because the entity engine is built to recognise company names consistently.

Insights Grid sits within a project and lets an analyst extract an insight and verify its source in one click, so that a quote in a deliverable traces back to the moment it was said.

Before a call, Athena, Junior’s AI interviewer, can run expert interviews in 18 languages. During a call, Mid-Call Intelligence (early access, on the desktop app) offers guidance drawn from the project and from past calls.

Compliance review

Junior gives compliance control of every call: compliance sets the rules once, every call is screened for MNPI and custom rules, and compliance reviews findings instead of chaperoning calls.

Each finding shows the passage and the rule it met, and the decision on materiality stays with the firm’s compliance team. Ethical walls keep teams apart, and every flag, decision and change goes on a full audit trail. Junior was built with advice from SEC-grade counsel, and it lets firms that banned transcription record for the first time. The basics are covered too: SOC 2 Type II, no model training on customer calls, zero data retention agreements with every underlying model provider and call data stored on Junior’s own infrastructure.

Vendor litigation

Buyers should also ask each vendor about pending litigation on recording consent or customer-data use, because public reporting indicates that Otter.ai and Granola are each involved in such proceedings, which are allegations only and unresolved.

Junior has not reviewed court filings for this page, and the statement is based on public reporting as of 11 November 2026. The Otter.ai compliance page in this series sets out the questions a buyer can put to any vendor.

Customer proof

Junior is trusted by 20 of the top 30 global PE funds by AUM, and firms using Junior hold over $1tn in cumulative AUM.

A leading US PE fund saved $2M with Junior, and firms that banned transcription now record for the first time. A General Counsel at a Top-40 PE fund said of restricted-list and MNPI review: “What used to take 10 to 14 hours a week now takes a couple of hours, once a week.”

Test it on your own calls

Any vendor comparison, including this one, is worth checking against your own material, and this check takes an afternoon.

Take one expert interview and one management meeting, each with real company names and figures in them.
Run the same audio through Junior, Fellow and Otter.ai.
Count the company names and figures each transcript gets wrong, and ignore how smooth the text reads.
Search each tool for a company mentioned once in passing and see whether it is found.
Send each vendor the compliance questions in the scorecard and ask for answers in writing.

Common questions

What is the best AI note taker for private equity?

Junior captures every expert call and meeting, turns it into answers your team can trust, and gives compliance control of all of it. It is built for investment and diligence teams in private equity, with direct expert network pipelines, a custom entity engine, MNPI screening on every call and a firm-wide knowledge base called Alexandria.

Is Junior better than Fellow for private equity?

Junior is built around the calls investment and diligence teams run, with direct expert network pipelines, a custom entity engine and compliance screening on every call, whereas Fellow is a cross-industry meeting assistant with governance controls for regulated industries; Fellow was not part of Junior’s accuracy benchmark, so test both on your own calls.

Is Junior better than Otter.ai for private equity?

In Junior’s own benchmark on public earnings-call audio, Junior recorded a lower entity error rate than Otter.ai, and Junior is built around the diligence call with direct expert network pipelines.

Why does entity accuracy matter in private equity?

Entity accuracy measures how often a transcript gets company names, products and people right, which matters because those are the terms that end up in an investment committee paper and in later searches of the archive.

Does Junior train AI models on customer calls?

No, Junior has signed zero data retention agreements with every underlying model provider, so call content is never stored, trained on or reused by them.

Can Junior transcribe expert network calls?

Yes, Junior builds direct pipelines from nearly all of the leading expert networks, so call audio arrives in Junior automatically without a separate recording and upload step.

Is Junior SOC 2 certified?

Yes, Junior is SOC 2 Type II certified and stores call data on its own infrastructure.

See Junior on your own calls

Book a demo and bring a recorded call of your own. We will show you capture, answers and compliance controls on it.

Book a demo

Sources reviewed 11 November 2026. Statements about other companies are taken from their own published pages and may have changed.

Junior is operated by SAMO C, Inc. Other company and product names are trademarks of their respective owners.