Eve — Startup Profile

The first AI operating system for plaintiff law firms — unicorn at $1B+

HQ: San Francisco, CA, United States | Founded: 2020 | Employees: Growth-stage team (several hundred est.) | Stage: Series B ($103M at $1B+ valuation, September 2025); $164M total raised | Website: https://www.eve.legal

About

Eve builds AI software for plaintiff-side law firms — the personal-injury, medical-malpractice and employment-law practices that represent people suing companies and insurers. Its platform covers the case lifecycle: intake and case evaluation, medical-record summarization (turning thousands of pages into chronologies and overviews), demand-letter and legal-document drafting, discovery responses, and practice analytics.

The company was founded around 2020 in San Francisco by Jay Madheswaran, Matt Noe and David Zeng. Madheswaran, the CEO, is a former Facebook engineer who spent a stint as a venture capitalist at Lightspeed Venture Partners before starting Eve — a biography that became circular when Lightspeed invested. The founding thesis: AI is most valuable to the side of litigation that is structurally outgunned. Plaintiff firms work on contingency — they get paid only if the client wins — so every hour of leverage matters, while defense firms have the deep benches.

Eve raised a $14M seed in 2023 (Lightspeed, Menlo), a $47M Series A led by Andreessen Horowitz in January 2025, and a $103M Series B led by Spark Capital in September 2025 at a $1B+ valuation, just eight months later — adding 350 firms between the rounds to reach 450+ customers. The company reports 200,000+ cases processed annually and $3.5B+ in settlements and judgments recovered by its customers.

In June 2026 Eve rebranded the platform as EveOS, framing it as an AI-native operating system for plaintiff law rather than an assistant. The launch bundled four new products: Eve Atlas (a self-updating data layer across matters, email, filings and records), Eve Analyst (plain-English questions answered with living dashboards), Communication Agents (AI that makes outbound calls for client follow-ups and record requests), and Eve Research (native access to court opinions across every US jurisdiction, with linked citations). Core modules — medical summaries and drafting — anchor the workflow.

The Take

Legal AI startups mostly sell to whoever has the biggest software budget — giant defense firms and corporate legal departments. Eve picked the other side: plaintiff firms, the contingency-fee shops where cash is always tight and every hour of associate time is an investment the firm only recovers if it wins. That asymmetry is the business. Personal-injury cases run on mountains of medical records — thousands of pages per case — and turning them into usable chronologies is exactly the kind of grinding work AI is unusually good at and nobody wants to do.

The market agreed, fast. A $47M Series A led by a16z in January 2025 was followed eight months later by a $103M Series B led by Spark Capital at a $1B+ valuation — with Lightspeed (Madheswaran's former firm) and Menlo piling in. Eve added 350 firms in those eight months, reaching 450+ customers processing 200,000+ cases a year, with customers reporting $3.5B+ recovered and 20+ hours saved per attorney per week. Those are vendor-reported numbers and deserve a grain of salt — the customers, not the software, tried the cases — but the direction is not in dispute.

In June 2026 Eve renamed the platform EveOS and shipped a full-stack vision: Eve Atlas (live case data from emails, filings and records), Eve Analyst (plain-English practice analytics), Communication Agents (AI making outbound calls), and Eve Research (court opinions wired into every agent). The rebrand from 'assistant' to 'operating system' is the strategic tell: Eve wants to run the firm's operations, not sit beside them — where the lock-in lives. The risks are the plaintiff-bar's own cyclicality (case volumes track the economy), competitors like EvenUp attacking the same niche from the demand-letter angle, and the open question of whether AI-native incumbent displacement in law ends in consolidation by the very incumbents Eve outmaneuvers.

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