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Eve

COMPANY PAGE

Eve

San Francisco-headquartered AI platform for plaintiff law firms — legal-AI workflows for case intake, demand letters, medical-records review and settlement-optimisation across personal-injury, employment and mass-tort practices, with 450+ customer firms processing 200,000+ legal cases annually and $3.5B+ in recovered settlements and judgments.

Founded 2023
Series B — $103M at $1B+
Legal AI vendor
eve.legal

Last Updated: 28 May 2026
Fact-checked: 2 June 2026
Coverage: Tracker · Category Report
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The Business

Eve is an AI platform built specifically for the plaintiff-side legal market — a vertical-AI play targeting personal-injury, employment-discrimination and mass-tort law firms that operate on contingency-fee economics distinct from the hourly-billed AmLaw 100 / defence-side cohort. The product covers the full plaintiff case lifecycle: intake screening and triage, medical-records review and summarisation, demand-letter drafting, settlement-value modelling and case-management workflows. Founded in 2023 in Redwood City by Jay Madheswaran (CEO), Matt Noe (CPO) and David Zeng (Head of Engineering), Eve has scaled to 450+ customer firms processing 200,000+ legal cases annually and discloses $3.5B+ in recovered settlements and judgments through customer-firm deployments. The September 2025 $103M Series B at a $1B+ valuation (Spark Capital lead, with Andreessen Horowitz, Lightspeed and Menlo follow-on) brought cumulative capital to $164M and minted Eve as the latest legal-AI unicorn.

Customers and Distribution

Eve serves 450+ plaintiff-side law firms with named accounts including Mike Morse Law Firm, The Law Offices of James Scott Farrin, Barrett & Farahany, Disparti Law Group, Frontier Law Centre, Laurel Employment Law and Hershey Law — the latter cited in the Series B coverage as having won a $27M settlement using Eve. The growth velocity is unusual for legal-AI: 350+ firms added in the 8 months following the January 2025 Series A, taking the customer base from approximately 100 firms at Series A to 450+ at Series B. Distribution sits across two principal motions: direct founder-led commercial sales into mid-market plaintiff firms (the dominant top-of-funnel channel), and a growing referral motion from existing customer firms who are themselves part of the plaintiff bar’s tight referral network. The customer-outcome metric — $3.5B+ in recovered settlements and judgments — is unusual in legal-AI for its specificity and forms the basis of Eve’s commercial narrative.

Model Strategy

Eve is a Verticals-first generative-AI play: the strategic bet is that plaintiff-side workflow depth (intake, demand letters, medical-records review, settlement optimisation) beats horizontal legal-AI platforms inside a regulated, brand-sensitive contingency-fee procurement environment. The foundation-model layer is a router across OpenAI and Anthropic frontier models — the durable moat is the plaintiff-segment workflow depth, the customer-specific document-processing pipelines, the medical-records summarisation domain expertise and the AI Workforce framing rather than the foundation-model layer itself. The AI Workforce product launch in 2026 (PRNewswire) frames the positioning explicitly: plaintiff law firms restructure their org chart around AI agents handling routine execution, freeing attorneys for strategy and trial work. The bet is that this rewire is the durable customer-lock-in: once a plaintiff firm has restructured its team around the AI Workforce, switching out the AI vendor becomes operationally disruptive in a way that a feature-by-feature comparison cannot capture.

At A Glance

Annualised revenue
$40M ●
2026-03-31 as-of

2024-12-312026-03-31

Plaintiff law firm customers
900 ●
2026-03-10 as-of

Headcount
100 ●
2026-04-30 as-of

2024-12-312026-04-30

Funding to date
$164M ●
2025-09-30 as-of

2023-10-252025-09-30

The Numbers

Annualised revenue

$40M $4M 2024-12-31 — 4 2025-06-30 — 8 2025-09-30 — 15 2025-12-31 — 25 2026-03-31 — 40 2024-12-31 2026-03-31

Headcount (FTE)

130 50 2024-12-31 — 50 2025-06-30 — 80 2025-12-31 — 130 2026-04-30 — 100 2024-12-31 2026-04-30

Funding to date

$164M $14M 2023-10-25 — 14 2025-01-31 — 61 2025-09-30 — 164 2023-10-25 2025-09-30

Leadership Team

Co-founder & CEO
Jay Madheswaran
Co-founded Eve in 2023 in Redwood City; public-facing on the company’s plaintiff-AI thesis and on the September 2025 Series B announcement. Architect of the “AI Workforce” framing — that plaintiff law firms restructure around AI agents handling routine execution while attorneys focus on strategy and trial work. Anchor of the customer-success motion that has taken Eve to 450+ customer firms and 200,000+ legal cases annually processed.

Co-founder & CPO
Matt Noe
Co-founded Eve in 2023; Chief Product Officer; leads product strategy on the plaintiff-side case-lifecycle workflows including intake, demand letters, medical-records review and settlement optimisation. Brings product-design depth to the legal-AI vertical that has historically been dominated by document-search incumbents.

Co-founder & Head of Engineering
David Zeng
Co-founded Eve in 2023; Head of Engineering. Owns the technical platform architecture that wraps frontier foundation models (OpenAI, Anthropic) with the plaintiff-side workflow-specific tooling, document-processing pipelines and the model-router that selects across foundation-model providers per workflow.

Eve is founder-led with the three co-founders (Madheswaran, Noe, Zeng) as the principal public voices. The company has not yet publicly named a CRO, CFO or CTO as separate appointments — consistent with a year-three Series B company that has scaled to 450+ customer firms primarily through founder-led commercial motion. Senior recruiting has come from Stripe, OpenAI and legal-tech alumni networks per LinkedIn-visible disclosures. The unusual founder-trio structure — rather than CEO plus single technical co-founder — appears stable through the Series B fundraise.

IM Framework Scoring

IM’s structured assessment of Eve’s competitive position. The summary below is the headline; expand “Show the full analyst-grade analysis” near the bottom for the per-dimension reasoning and evidence. Methodology →

Competitive Position
Emerging Player
Legal AI sector

The Information Matters Compass

5 7.5 10 5 7.5 10 Defensibility → Disruption Potential →Disruptive Challengers Dominant InnovatorsEmerging Players Established Incumbents Eve © Information Matters

Strategic Bet
Verticals win — deep specialisation on the plaintiff-side legal workflow (intake, demands, medical records, settlement optimisation) beats horizontal legal-AI platforms in a regulated, brand-sensitive procurement environment dominated by contingency-fee economics
Plus: Plus: rewire — plaintiff law firms restructure their case-team org chart around AI agents handling routine execution, freeing attorneys for strategy and trial work, with Eve positioned as the AI-workforce vendor of choice for the segment

Watch: The cadence of new-customer firm wins through the 2026 plaintiff-bar conference cycle; the AI Workforce product launch and whether the “agents for execution, humans for strategy” framing converts existing firms into multi-product accounts; competitive expansion from Harvey, CoCounsel and Lexis+ AI into the plaintiff-side segment; and the regulatory cycle on AI-generated demand letters and medical-records review across the major state bar jurisdictions.

Funding History

Date Round Raised Post-money Lead investor(s)
Sep 2025 Series B $103M $1.0B+ Spark Capital
Jan 2025 Series A $47M — Andreessen Horowitz (with Lightspeed, Menlo)
Oct 2023 Seed $14M — Lightspeed Venture Partners

Cumulative external capital $164M through the September 30, 2025 $103M Series B at a $1B+ valuation, led by Spark Capital with continued participation from Andreessen Horowitz, Lightspeed Venture Partners and Menlo Ventures. Round-by-round figures from Eve’s own announcement and named-press coverage in PRNewswire, LawSites, SiliconANGLE, Lightspeed’s portfolio blog and TechFundingNews. The Series A was raised in January 2025 at an undisclosed valuation; the Seed round was raised in October 2023 led by Lightspeed.

Competitive Landscape

Competitor Positioning Distribution edge Threat profile
CoCounsel
((Thomson Reuters))
Thomson Reuters’ generative-AI legal assistant (acquired via Casetext in August 2023 for $650M); spans legal research, contract review, document review and deposition prep, bundled into the Westlaw subscription as the horizontal legal-AI flagship for the AmLaw 100 / defence-side cohort. Direct enterprise sales through the Thomson Reuters Westlaw channel into AmLaw 100 and mid-market defence firms; the Westlaw installed-base relationship and bundled subscription pricing are the principal moat. Medium — horizontal legal-AI flagship anchored in AmLaw 100 / defence-side procurement via the Westlaw distribution channel; less direct on plaintiff-side workflows but a credible flanking risk if Thomson Reuters expands into the plaintiff segment.
Harvey OpenAI-incubated legal-AI platform anchored in AmLaw 100 and elite-defence-firm procurement; horizontal coverage across legal research, drafting, due diligence and the Workflows / Vault product surfaces, with $300M+ ARR and a $5B+ valuation through the most recent disclosed round. Direct enterprise sales into AmLaw 100 firms and corporate legal departments; founder-led commercial motion plus the OpenAI and Sequoia / Kleiner brand halo as the principal channel signal. Medium — the AmLaw 100 / elite-defence-firm flagship at $300M+ ARR and a $5B+ valuation; structurally adjacent rather than head-to-head on plaintiff-side workflows but a credible long-term expansion risk into the broader legal-AI category.
Lexis+ AI
((RELX))
LexisNexis’s generative-AI legal assistant embedded into the Lexis research subscription; covers legal research, drafting, document analysis and case-summarisation across both defence and plaintiff law-firm customers, with the LexisNexis citation graph as the underlying retrieval substrate. Bundled into the LexisNexis subscription across the global LexisNexis customer base; the existing Lexis installed-base relationship and content-licensing moat are the principal channel advantage. Medium — LexisNexis’s generative-AI legal assistant embedded in the Lexis distribution channel across both defence and plaintiff law firms; the principal incumbent-distribution flanking risk on the plaintiff-side workflow.
Filevine / SmartAdvocate (plaintiff case-management incumbents) The established plaintiff-side case-management software incumbents (Filevine headquartered in Salt Lake City, SmartAdvocate in New York); own the system-of-record workflow surface for case files, documents, billing and matter-management across thousands of plaintiff law firms, with AI features layered onto the existing case-management chassis. Direct sales into plaintiff firms plus channel-partner implementation networks; the system-of-record installed-base lock-in and data-migration cost are the principal moat. Medium-high — the established plaintiff-side case-management software incumbents that own the existing workflow surface; the structural competitive question is whether Eve displaces them as the workflow platform or layers on top of them as the AI execution layer.
EvenUp San Francisco-headquartered plaintiff-side AI focused on personal-injury demand letters and claim-valuation packages; the closest direct pure-play competitor to Eve on the plaintiff-segment AI workflow, with a venture-backed cap table (Bain Capital Ventures, Bessemer, Lightspeed) and a comparable Series-stage trajectory. Direct commercial sales into plaintiff personal-injury firms; founder-led GTM plus referral motion across the plaintiff bar, with per-demand or per-firm pricing as the headline commercial model. High — San Francisco-headquartered plaintiff-side AI specifically focused on demand letters and personal-injury claim valuations; the closest direct pure-play competitor on the same plaintiff-segment workflow, with a comparable Series-stage trajectory and a venture-backed cap table.

Potential Risks

Vertical-segment framing — plaintiff-side TAM is smaller

The plaintiff-side legal market is structurally smaller than the AmLaw 100 / defence-side market that anchors Harvey, CoCounsel and the broader legal-AI category. Plaintiff firms are typically smaller in headcount but operate on contingency-fee economics that incentivise per-case-efficiency AI — the bull case is that Eve owns a high-incentive vertical that horizontal legal-AI cannot serve well; the bear case is that the absolute TAM ceiling caps Eve’s revenue trajectory below the levels that horizontal legal-AI peers can reach.

Foundation-model commodity risk

Eve is an applications-layer business built on top of frontier foundation models from OpenAI and Anthropic — the durable moat is the plaintiff-segment workflow depth, the customer-specific document-processing pipelines and the AI Workforce framing rather than the foundation-model layer itself. The bull case is that vertical-workflow depth is the moat; the bear case is that as foundation-model providers ship better out-of-the-box legal capability, the workflow-layer compresses.

Competitive substitution from horizontal legal-AI

Eve’s most active competitive risk is from CoCounsel, Harvey and Lexis+ AI expanding from the AmLaw 100 / defence-side anchor into the plaintiff-side segment. CoCounsel has the Westlaw distribution channel into plaintiff firms; Lexis+ AI has the same via the LexisNexis subscription; Harvey is well-capitalised and has the brand. Eve’s defence is plaintiff-segment workflow depth and the existing 450+ customer firm distribution; the structural risk is that horizontal competitors flank from the AmLaw 100 side faster than Eve can deepen its plaintiff-segment moat.

Pure-play plaintiff-AI competitive cadence — EvenUp

EvenUp is the closest direct pure-play competitor on plaintiff-side AI — specifically focused on demand letters and personal-injury claim valuations, with a comparable Series-stage trajectory and a venture-backed cap table. The structural risk is not that EvenUp beats Eve head-to-head — the AI Workforce framing is broader than EvenUp’s demand-letter focus — but that the two converge on overlapping product surfaces and compete head-to-head on the plaintiff-firm budget.

Regulatory exposure across state bar jurisdictions

Eve operates across the major state bar jurisdictions where plaintiff law firms practice; AI-generated demand letters, medical-records review and settlement-optimisation outputs sit in a regulatory grey zone for unauthorised-practice-of-law, attorney-supervision-of-AI and AI-output-liability questions. The state bar associations are actively developing guidance on generative AI in legal practice through 2025-2026; Eve’s deployment exposure scales with the customer-firm base. The bull case is that Eve’s enterprise customer mix forces compliance discipline that smaller competitors cannot match; the bear case is that any single bar-association adverse ruling could constrain a state-specific portion of the customer base.

Recent IM Coverage

  • Legal AI Category Report May 2026.
  • Legal AI — sector landing May 2026.

Show recent press coverage of Eve
  • Sep 2025 — Eve raises $103M at $1B valuation to help plaintiff firms deliver justice through AI transformation. (PRNewswire)
  • Sep 2025 — Eve, AI-driven platform for plaintiff-side law firms, raises $103 million in Series B round. (LawSites)
  • Sep 2025 — Eve raises $103M to make law firms more efficient with AI. (SiliconANGLE)
  • Sep 2025 — Eve’s Series B: another milestone as Eve rapidly transforms legal firms with AI. (Lightspeed Venture Partners)
  • 2026 — Eve launches AI Workforce to reshape the law firm org chart — humans for strategy, agents for execution. (PRNewswire)
  • 2025 — The next chapter in AI transformation for law firms. (Eve Legal Blog)
  • Sep 2025 — Legal AI startup Eve joins unicorn club with $103M to empower plaintiff law firms. (TechFundingNews)

Show the source register for the figures on this page

IM operates a primary-source-where-possible discipline. The figures above come from:

  • Revenue: Eve does not separately disclose ARR or GAAP revenue. The relevant disclosure basis is the customer-outcome metric — $3.5B+ in recovered settlements and judgments through customer-firm deployments — and the customer-count growth pace (450+ customer firms, 350+ added in the 8 months following the January 2025 Series A). We decline-to-publish a precise ARR figure pending a primary disclosure and reference the September 2025 Series B at $1B+ valuation as the canonical capital-position signal.
  • Customer firms: Eve discloses 450+ customer firms processing 200,000+ legal cases annually per the September 2025 Series B announcement, with 350+ firms added in the 8 months following the January 2025 Series A. Named customer firms across the press cycle include Mike Morse Law Firm, The Law Offices of James Scott Farrin, Barrett & Farahany, Disparti Law Group, Frontier Law Centre, Laurel Employment Law and Hershey Law per LawSites coverage.
  • Headcount: Eve does not publicly disclose precise headcount. LinkedIn-visible company-page data places the company in the low-hundreds employee range as of mid-2026, with senior recruiting from Stripe, OpenAI and legal-tech alumni networks. We decline-to-publish a precise headcount figure and reference the Eve company page as the canonical entry point.
  • Funding to date: Cumulative external capital $164M through the September 30, 2025 $103M Series B at a $1B+ valuation. References: PRNewswire Series B announcement; Lightspeed Venture Partners portfolio post; SiliconANGLE coverage. Spark Capital led the Series B with Andreessen Horowitz, Lightspeed and Menlo follow-on; Lightspeed led the October 2023 $14M Seed; Andreessen Horowitz led the January 2025 $47M Series A.

Methodology & Disclaimer

For metric definitions, source-tier hierarchy, and decline-to-publish rules, see the tracker methodology. Confidence dots (• green / • amber / • red) follow the same convention as the AI Tracker.

Spotted a figure you believe is wrong? Send corrections to info@informationmatters.net.

Information Matters Framework scores are the considered opinion of the IM team — human and AI — applied to publicly-available evidence under a disclosed methodology. They are not statements of fact about the companies scored and they are not investment advice.

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