Power Law company profile

Everlaw

AI · Oakland, United States · Founded 2010 Unicorn

EDiscovery and litigation platform

Valuation

$1–2.5B

Latest valuation · 2026

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Revenue

$50–100M

Latest reported FY

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Headcount

500–1k

Current team size

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Featured in Unicorn$1B+ valuation tier · Power Law dataset 2026 $10B+ revenueThoroughbred · Power Law outcome

Investors

8 investors on Everlaw's cap table

Sourced from Dealroom's funding history. Investor profile links are shown where available.

Seed 2 investors entered at this stage

K9 Ventures

Ulu Ventures

Series A 1 investor entered at this stage

Andreessen Horowitz

Series B+ 5 investors entered at this stage

CapitalG

Menlo Ventures

TPG Growth

H.I.G. Growth Partners

TPG

Global footprint

Where Everlaw has talent and traffic

AI talent share

0.6% of workforce is AI talent
(3 of 535 staff)

Core AI00%

Other AI30.56%

Non-AI workforce53299.44%

Workforce by country

3 countries with
team presence

🇺🇸 United States96.7%

🇬🇧 United Kingdom2.9%

🇳🇿 New Zealand0.3%

3 countries shown

Web traffic by country

130K monthly visits
across markets

🇺🇸 United States79.5%

🇮🇳 India5.8%

🇦🇺 Australia3.2%

🇬🇧 United Kingdom1.9%

🇨🇦 Canada1.8%

Top 5 markets shown

Patent intelligence

$197k patent portfolio · 6 active families

Estimated portfolio value

$197k

<0.01% of valuation · 4.9× smaller than top peer Glia ($973k)

6 active patent families

Where Everlaw innovates User interfaceAlgorithmTheoretical computer scienceComputer engineeringReal-time computing

Where Everlaw concentrates vs peers

Each axis is a top-10 topic across Everlaw and its closest peers. #1 = 100, #10 = 10, absent = 0.

Compare against

Source: Dealroom Patent Intelligence · Patsnap. Request a demo for the full per-sub-category breakdown, individual records, and quality-score history.

Market sentiment

What the market is saying about Everlaw

An AI-synthesized read of the highest-engagement posts about Everlaw on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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