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Harvey AI

AI legal platform built on frontier models, deployed by PwC, A&O Shearman, and Allen & Overy.

AIUnited States·Founded 2022·ISO/NSO equity·harvey.ai
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Source-audited Jun 12, 2026
Reference estimate only
4 methods · Source-audited Jun 12, 2026Low confidence (34%)

The four valuation methods disagree significantly (44.4× spread). Treat this as a wide reference range only — not a reliable point estimate.

$11B
wide range · ~$8B – ~$16B
Implied per-share: $644.5 · vs last primary +13%

No verified public secondary-market signal available for Harvey AI. The estimate relies on last confirmed financing, peer multiples, sector momentum, and time decay.

Valuation basis:Last primary roundSource-audited Jun 12, 2026
Last primary round
$11B
Growth · 4mo ago
Secondary signal
No verified secondary signal

No verified public secondary signal is available. Hiive/Forge links are monitoring links only, not evidence of a current executable price.

Headcount
200
employees · LinkedIn+67%

LinkedIn count — directional proxy only. Historical figure sourced via Wayback Machine; treat ±15% as normal variance.

Revenue (est.)
$100M
annual run rate · est.

Complete company data

Every input we use, where we got it from, and how much we trust it.

Source verification: PrivatePulse editorial review · manual-source-audit-2026-06

FieldValueConfidence
Company fundamentals
SectorAIhigh
HeadquartersUnited Stateshigh
Founded2022high
Websiteharvey.aihigh
Last primary round
Post-money valuation$11Bhigh
Round nameGrowthhigh
Date2026-03-25 (4 months ago)high
Lead investorGIC / Sequoia Capitalhigh
Amount raised$300Mmedium
Capitalization
Total fully-diluted shares19.355Mlow
Implied share price (illustrative only)~$645low
Primary equity type grantedISO/NSOhigh
Financials
Annual revenue (est.)$100Mmedium
EV / Revenue (implied)110.0xmedium
Headcount
Employees (now)200medium
Employees (12 months ago)120medium
12-month headcount growth+67%medium
Methodology inputs
Sector ETF proxyWCLDmedium
ETF annual return (trailing 3-yr)3%medium

Funding history

Primary rounds reported in Bloomberg, WSJ, TechCrunch, Reuters, or SEC Form D filings (efts.sec.gov). Linked per round below.

Valuation progression (equity rounds)
Valuation progression · equity rounds
$11.0Blatest · Growth
Total growth
44×
Our estimate
$12.5B
$0.0B$3.7B$7.4B$11.0B$14.7BSeries ASeries BSeries C$5.0BSeries DlatestGrowthest.Est.
Primary round
Down round
Our estimate
Growth+120%2026-03-25
$11.0B
Led by GIC / Sequoia Capital · raised $300M
Series D+233%2025-02-20
$5.0B
Led by Sequoia Capital · raised $300M
Source: TechCrunch Feb 2025(historical ref.)
Series C+100%2024-05-01
$1.5B
Led by Kleiner Perkins · raised $100M
Source: WSJ May 2024(historical ref.)
Series B+200%2023-12-01
$0.8B
Led by Sequoia Capital · raised $80M
Source: TechCrunch Dec 2023(historical ref.)
Series A2023-04-01
$0.3B
Led by Sequoia Capital · raised $21M
Source: TechCrunch Apr 2023(historical ref.)

Secondary market signals

Secondary market signals: bid/ask/trade indications from Hiive (hiive.com), Forge Global, Caplight Index, and tender prices reported in the press.

No active listings found

We monitor Hiive, Forge Global, and EquityZen for Harvey AI listings. As of July 2026, no verified secondary market activity has been recorded.

Secondary listings for private companies appear without announcement and typically close within days. When a listing appears, it often signals an upcoming tender offer or funding round.

Primary round history as valuation signal

In the absence of secondary market data, the funding history below is the primary valuation anchor. Method C (time-decay) uses this data to estimate current value.

Growth · 2026-03$11B
Series D · 2025-02$5B
Series C · 2024-05$1.5B

Get notified when a listing appears

Pro subscribers get notified within 2 hours when a secondary listing for Harvey AI is detected. Most employees first hear about tender offers days after the market already knows.

Get listing alerts →

Check directly: Hiive ↗ · Forge Global ↗ · SEC Form D ↗

Public peer comparables

Public peer comparables: editorial selection of public companies with the closest business model. EV/Revenue and growth from public 10-Q filings and Bloomberg, refreshed quarterly.

TickerCompanyEV / Revenue
CRMSalesforce, Inc.3.11x
HUBSHubSpot, Inc.3.2x
NOWServiceNow, Inc.8.04x
WDAYWorkday, Inc.3.47x

Confidence breakdown

How much we trust each of the four valuation methods for this specific company, and why.

Method A — Peer-multiple
weight 25%suppressed23% confidence
↳ Effectively excluded from the blend — this method is structurally unreliable for this company.
Growth-weighted peer EV/Revenue: 4.7x → 22% private-company discount → 3.7x on $100M revenue. Output implies less than half the recent market anchor ($11B) — this company is likely valued on optionality / non-revenue factors and Method A is structurally less reliable here.
Method B — Secondary-implied
weight 45%suppressed25% confidence
↳ Effectively excluded from the blend — this method is structurally unreliable for this company.
No verified secondary market data available — estimate relies on primary round, peer multiples, and sector momentum.
Method C — Primary time-decay
weight 20%→ $16.3B79% confidence
$11B round (2026-03-25) × 1.50× growth × 0.99× multiple decay over 0.3 years
Method D — Sector momentum
weight 10%→ $11.1B56% confidence
$11B × (1 + 3% p.j.)^0.3yr = $11.1B via WCLD ETF-proxy
Overall confidence
34%
Weighted average of the four methods. Above 60% is high, 35–60% medium, below 35% low.
Low

Worked example for an employee

Illustrative mechanics only — this shows how the equity model works, not a reliable value estimate.

Illustrative mechanics only

This example shows equity mechanics only. It is not a reliable estimate of current value because model support is weak (confidence 34%, spread 44.4×).

Show illustrative values (not a reliable estimate) ▸
Profile: a hypothetical employee who joined Harvey AI 24 months ago (2024-07-10) with 2,000 options, on the standard 4-year vesting schedule with a 1-year cliff.
Vesting
1,000 of 2,000
50% vested at month 24
Implied share price (mid)
$645
weighted average of 4 methods — low confidence
Gross vested value
$644,544
vested shares × implied price
Net value
$644,544
no strike, gross = net
Tax (rough)
$196,669
US federal only · AMT risk: high
What if the next round is…
Up round +30%
$728,615
New round at +30% valuation, 15% new shares issued
Down round −30%
$375,984
New round at −30% valuation, 20% new shares (higher dilution in distress)
Secondary today
$547,863
Sale on the secondary market at the typical 15% discount to the mid estimate
These illustrative values use the same calculation engine as the live calculator, but the underlying model is low-confidence for Harvey AI. Use your own numbers as a starting point only. Try the calculator →

Transparent assumptions

What we assumed where exact data isn't available. If any of these don't match your situation, the numbers above will be off.

Fully-diluted share count
19.354839M shares
We don't have authoritative cap-table access for private companies. The number above is reconstructed from SEC Form D filings, secondary-market price-vs-valuation math, and leaked share-class summaries. Actual fully-diluted count (including unvested option pool and SAFEs) may differ by 5–15%.
Common-stock waterfall
1.0× to common
We assume a clean common-stock outcome — i.e. preferred-share liquidation preferences and ratchets do not extract value before common. In a down-exit, this assumption can be very wrong: preferred stack can take 30–70% of proceeds.
Private-company illiquidity discount
22% off public peers
Applied to Method A (peer-multiple). Per-company because category leaders with deep secondary markets and a clear IPO path warrant a smaller discount than early-stage names. The literature range is 10–35%; for Harvey AI we use 22% based on secondary-market depth, valuation history, and proximity to liquidity.
Revenue growth assumption (Method C)
300% YoY
Compounded forward from the last primary date to today to estimate the company's value drift. Set per-company based on disclosed or reported ARR trajectory. Method C is further capped at 1.3× the most recent secondary trade (if any) to stop runaway extrapolation when revenue growth outpaces what the market is actually paying.
Sector ETF momentum (Method D)
WCLD @ 3%/year
Method D applies the trailing return of WCLD as a market-proxy adjustment to the primary valuation. Crude — meant as a tiebreaker when peer and secondary data conflict, not as a primary signal.
Outlier auto-downweight
Methods >50% from median get ½ weight
Robust-statistics safety net: any method whose output strays more than 50% from the median of the other three methods has its confidence weight halved when computing the blended mid-point. Prevents a single bad extrapolation from dragging the headline.
Recency decay for secondary trades
180-day half-life (e⁻ᵈ/¹⁸⁰)
A trade from 30 days ago counts ~5× more than one from 180 days ago. Tunable; some platforms use shorter half-lives.
Tax estimate
US federal only, single filer
Uses 2024 US federal brackets, ignoring state tax, NIIT, AMT credit recovery, and any other deductions. Treat as a directional sanity check, not a tax bill.
All data from public sources. Not investment, tax, or legal advice. Not affiliated with Harvey AI. Last refreshed manually — see methodology for our update cadence.