EvenUp
AI platform for plaintiff personal-injury law firms — agentic demand-letter generation, case-valuation analytics, medical-record summarisation and document review built on Piai, EvenUp’s domain-specific model trained on 200K+ PI cases and $10B+ in damages secured. 2,000+ customer firms with 20% Top-100 US PI penetration; $150M Series E Oct 2025 at $2B+ post-money valuation led by Bessemer with REV and LexisNexis joining as strategic investors.
The Business
EvenUp is the AI platform for plaintiff personal-injury law firms, founded in 2019 by Rami Karabibar, Saam Mashhad and Raymond Mieszaniec. The product spans agentic demand-letter generation, case-valuation analytics, medical-record summarisation and document review built around Piai — EvenUp’s proprietary domain-specific model trained on 200K+ PI cases and $10B+ in damages secured. Distinctively, EvenUp is built single-vertical from the outset (plaintiff personal injury rather than the broader legal market) and the workflow stack covers the end-to-end demand-package process rather than a single horizontal tool, in contrast to the cross-vertical Word-integrated or research-grounded model of much of the competing legal-AI cohort. The company raised a Series E at $2B+ post-money in October 2025 led by Bessemer Venture Partners, with REV (the plaintiff-bar private-equity consortium investor) and LexisNexis joining as strategic investors with participating investors B Capital, SignalFire, Adams Street, Premji Invest, Bain Capital, HarbourVest, Lightspeed and Broadlight Capital, bringing cumulative capital to approximately $385M. Coincident with the round, the company disclosed case-volume doubling to 10K per week inside six months and ARR doubling year-over-year, plus a largest-customer ACV figure of $4M+. The product is sold into plaintiff personal-injury firms through a direct enterprise GTM motion anchored on the 2,000+ customer base and the Top-100 US PI penetration footprint.
Customers and Distribution
EvenUp discloses 2,000+ customer firms as of the October 2025 Series E announcement, with 20% penetration of the Top-100 US plaintiff personal-injury firms and case-volume processing of 10K cases per week — the strongest distribution print in the plaintiff-bar legal-AI cohort and the test case for whether single-vertical PI depth converts into category-defining customer share. The customer base is anchored in the United States plaintiff PI bar with no announced UK or Australia expansion; the workflow stack covers demand-letter generation, case valuation, medical-record summarisation and document review, with per-firm deployments scaling across these use-cases inside a single contract and the largest-customer ACV publicly cited at $4M+. Distribution is direct enterprise sales rather than channel-partner-led; the demand-letter quality benchmark and the end-to-end PI workflow are the customer-acquisition wedges. The plaintiff-PI vertical concentration is a structural distribution advantage versus the AmLaw 100 / corporate-GC focus of Harvey, CoCounsel and Lexis+ AI on the corporate side, but it is also a single-jurisdiction single-vertical exposure that the IM Framework prices into the D4c regulatory-exposure score (3 on the evidence-pass refresh) and the D4f geopolitical-exposure score (3 on US-only operation).
Model Strategy
EvenUp’s defining asset is Piai — a domain-specific proprietary model trained on 200K+ plaintiff personal-injury cases and $10B+ in damages secured, which is the company’s core moat at the model layer and the basis for the demand-letter accuracy benchmarks that anchor the GTM motion. Piai is not a fine-tune of a general-purpose foundation model in the marketing posture; it is positioned as a domain-specific model with PI-vertical data depth that competing LLMs cannot replicate from the open web. Above Piai, the broader product stack uses foundation-model partners for ancillary components (medical-record summarisation, general document review, OCR-and-classification surfaces); that supplier dependency is disclosed via the Bessemer and LexisNexis investment theses and scores 6 on the D4a supplier-diversity sub-rubric — supplier diversity present but not eliminating frontier-capability dependency. The October 2025 LexisNexis strategic-investor position opens corpus-and-content optionality on the plaintiff side analogous to the Harvey-LexisNexis alliance on the AmLaw 100 side, though specific integration or content-licensing commitments have not been disclosed at the time of writing. EvenUp does not own a proprietary primary-law corpus of the Westlaw / Lexis / vLex kind — the company differentiates on PI-vertical workflow depth, Piai accuracy benchmarks and the case-volume data flywheel rather than on authoritative content.
At A Glance
The Numbers
Trend charts are not shown for EvenUp — only single-point data is currently available. See At A Glance above for the most recent disclosed values.
Leadership Team
EvenUp is founder-led at the senior team level with the three co-founders (Karabibar, Mashhad, Mieszaniec) intact since 2019 per the Series E coverage. Bench depth has expanded materially through 2024-2025 with hires across product, engineering and enterprise go-to-market following successive funding rounds; current headcount is in the 500-800 range per LinkedIn-derived snapshots. The Series E investor base brings Bessemer Venture Partners, Bain Capital Ventures and Sapphire as financial leads with REV (RELX Ventures, the venture-capital arm of RELX — LexisNexis’s parent — joining as strategic investor) and LexisNexis added as strategic investors. Specific board composition is not publicly disclosed at the time of writing; CFO, CRO and Chief Legal Officer roles have not been publicly announced as separate appointments.
IM Framework Scoring
IM’s structured assessment of EvenUp’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 →
Funding History
| Date | Round | Raised | Post-money | Lead investor(s) |
|---|---|---|---|---|
| Oct 2025 | Series E | $150M | $2B+ | Bessemer Venture Partners (REV and LexisNexis strategic) |
| 2024 | Series D | $150M+ | ~$1.7-2B | Bain Capital Ventures |
| 2024 | Series C | $135M | ~$1B | Bain Capital Ventures, Sapphire Ventures |
| 2023 | Series B | $65M | — | Bessemer Venture Partners |
| 2022 | Series A | $35M | — | Bain Capital Ventures |
Cumulative ~$385M raised through the Oct 2025 Series E at $2B+ post-money valuation per the Fortune exclusive and the LexisNexis newsroom announcement; the Series E was Bessemer-led with REV (RELX Ventures, the venture-capital arm of RELX, LexisNexis’s parent) and LexisNexis joining as strategic investors with participating investors B Capital, SignalFire, Adams Street, Premji Invest, Bain Capital, HarbourVest, Lightspeed and Broadlight Capital. The LexisNexis strategic position is structurally distinctive in legal AI: it parallels the RELX minority position in Harvey at Series B and the broader Harvey-LexisNexis alliance, but on the plaintiff-bar side of the legal-AI category where the AmLaw 100 vertical plays do not operate. Round-by-round figures from EvenUp’s own blog, Fortune, LawNext, Artificial Lawyer and Crunchbase News coverage; Series C/D valuation transitions through 2024 are reported as ~$1B and ~$1.7-2B respectively across named-source press.
Competitive Landscape
EvenUp’s competitive set sits in three concentric rings distinct from the AmLaw 100 / corporate-GC ring that defines the Harvey, CoCounsel and Lexis+ AI head-to-head: the plaintiff-side case-management incumbents that own the workflow EvenUp attaches to (Filevine most directly), the SMB and midsize-firm flanking plays that approach the plaintiff bar from below (Clio Duo, vLex / Vincent AI inside Clio), and the AmLaw 100 / corporate-side vertical plays that share the “legal-specific AI” thesis without sharing the customer surface (Harvey, Spellbook). EvenUp’s distinguishing position in the set is plaintiff-PI vertical depth: Piai is trained on 200K+ PI cases and $10B+ in damages secured, the workflow stack covers demand-letter generation, case valuation, medical-record summarisation and document review end-to-end, and the customer set is anchored in 20% Top-100 US PI penetration rather than spread across the broader legal market.
| Competitor | Positioning | Distribution edge | Threat profile |
|---|---|---|---|
| Harvey | Independent legal-AI vertical play backed by Sequoia, GIC, Kleiner Perkins and OpenAI Startup Fund. Embedded legal-engineering delivery into AmLaw 100 customer firms; ~$190M ARR and $11B valuation as of Mar 2026. | Direct to law-firm IT / GC procurement; Microsoft Word and Azure native; channel partnerships with DocuSign, LexisNexis and DeepJudge. | Low — medium — Harvey is the most-named independent rival in legal AI overall but operates on the AmLaw 100 / corporate-GC side rather than the plaintiff-PI vertical; minimal direct customer overlap today but flanking risk if Harvey extends into litigation-prep workflows that touch plaintiff PI. |
| Spellbook | Word-integrated contract drafting and review for commercial lawyers; in-house and law-firm teams. 4,000+ team installations. | Microsoft Word native; self-serve and SMB-leaning go-to-market. | Low — narrower (contracts) and on the corporate side rather than the plaintiff PI vertical; minimal direct overlap with EvenUp’s demand-letter and case-valuation surface. |
| Filevine | Plaintiff-side case-management platform with embedded AI features (AI Fields, AI doc summarisation, demand drafting); the incumbent plaintiff-bar case-management system EvenUp’s product attaches to. | Direct enterprise sales into plaintiff firms; established installed base across PI, mass tort and family law verticals. | High — the closest structural competitor on the plaintiff-bar side: an established incumbent that owns the case-management workflow EvenUp’s demand-letter and case-valuation tools plug into, with credible AI features being built into the core platform. |
| Clio Duo (Clio (Vancouver)) |
AI assistant inside the Clio practice-management platform; agentic features for matter intake, document review and drafting layered onto the 200,000+ Clio practice-management seat base. | Clio’s 200,000+ practice-management seat base across small and midsize law firms; SMB-leaning go-to-market. | Medium — the SMB and midsize-firm flanking risk; Clio Duo addresses the long-tail plaintiff and general-practice firms below EvenUp’s Top-100 PI focus but could move upmarket as the Clio + vLex post-acquisition product surface matures. |
| vLex / Vincent AI (Clio (Vancouver)) |
Global legal-research and AI platform grounded in 1B+ editorially enriched documents across 110+ jurisdictions; acquired by Clio Nov 2025 for $1B. | 2.8M registered users; 40+ US state-bar member-benefit footprint via Fastcase; Clio’s 200,000+ practice-management seat base post-acquisition. | Low — medium — differentiated on multi-jurisdictional research rather than plaintiff-PI workflow; minimal direct overlap but the Clio + vLex combined product surface creates the SMB-plus-research-corpus alternative that EvenUp customers in the smaller-firm tier may evaluate. |
Pricing benchmark: EvenUp’s largest customer ACV is publicly cited at $4M+ per the Fortune Series E coverage, with deal sizes scaled by case volume and firm size across the 2,000+ customer base; the company has not disclosed published per-seat pricing. Filevine’s case-management platform pricing is in the $80-160 / user / month range with AI add-ons priced separately. Clio Duo is bundled within Clio’s practice-management subscription. EvenUp competes on the demand-letter quality benchmark and the end-to-end PI workflow rather than on per-seat headline price; the LexisNexis strategic investment opens potential corpus-bundled-pricing optionality not yet commercialised.
Potential Risks
The case for EvenUp at IM Framework 7.20 rests on the Piai domain-specific model trained on 200K+ PI cases and $10B+ damages secured, the 2,000+ firm customer base with 20% Top-100 US PI penetration, the cumulative ~$385M capital position post-Series E at $2B+ post-money with Bessemer leading and LexisNexis joining as strategic investor, and case-volume doubling to 10K per week inside six months. The case against splits into five risks of differing magnitude — with the Filevine plaintiff-side case-management incumbent the most active competitive threat and the tort-reform legislative exposure the most structural framing constraint.
Foundation-model dependency on ancillary stack components
Piai is EvenUp’s proprietary domain-specific model trained on 200K+ PI cases and $10B+ in damages secured, and is the company’s core moat at the model layer. But the broader product stack uses foundation-model partners for ancillary components (medical-record summarisation, general document review, OCR-and-classification surfaces) and that supplier dependency is disclosed via the Bessemer and LexisNexis investment theses. The multi-FM posture removes single-supplier concentration risk on the ancillary layer but means EvenUp is exposed to capability shifts or pricing moves at OpenAI, Anthropic or Google for the non-Piai components. Under the IM Framework the D4a supplier-diversity sub-rubric scores 6 on this evidence.
Plaintiff-PI vertical concentration and tort-reform legislative exposure
EvenUp is single-vertical (plaintiff personal injury) and single-jurisdiction (United States) with no announced UK or Australia PI expansion. The plaintiff-bar economic surface is structurally exposed to state-level tort-reform legislation (damages caps, contingency-fee restrictions, attorney-fee shifting reforms) and to ongoing ABA and state-bar opinions on AI in legal work that could mandate disclosures, restrict workflows or change the liability allocation. Under the IM Framework the D4c regulatory-exposure sub-rubric scores 3 on this evidence — the lowest-scoring sub-rubric in the file — reflecting the acute regulatory exposure of single-vertical single-jurisdiction operation.
Plaintiff-side case-management incumbent competition — Filevine
Filevine is the closest structural competitor on the plaintiff-bar side: an established case-management incumbent that owns the workflow EvenUp’s demand-letter and case-valuation tools plug into, with credible AI features (AI Fields, AI doc summarisation, demand drafting) being built into the core platform. The strategic risk is that plaintiff-firm procurement defaults to the case-management incumbent’s bundled AI surface rather than to EvenUp’s specialist stack, particularly in the midsize-and-below firm tier where the Top-100 PI penetration thesis does not protect EvenUp’s deal flow. Counter-position: EvenUp’s Piai model and 200K-case training corpus is genuinely difficult to replicate without comparable plaintiff-PI data depth.
Platform dynamics are single-sided — collaborative workspace is intra-firm
EvenUp’s product surface produces network effects within each customer firm (reusable templates, intra-firm workflow conventions, accumulating Piai usage data) but is not a multi-sided marketplace; customer data is firewalled and the product does not yet exhibit cross-customer flywheel effects of the platform-tipping kind. Under the IM Framework the platform-dynamics composite is structurally weaker than the capital-and-distribution composite that drives the headline score. A future EvenUp marketplace or developer-template surface would shift this, but is not yet a disclosed product direction; the company posture is single-vertical depth rather than multi-sided platform expansion.
Valuation-to-ARR multiple and growth-rate dependency
$2B+ post-money on an ARR profile that has been disclosed only as “doubling YoY” without a precise headline figure carries valuation-compression risk if growth slows, if Filevine closes the AI-feature gap structurally, or if a tort-reform shock at US state level compresses the plaintiff-PI economic surface. The risk is structurally similar to the valuation-to-ARR question that applies to Harvey and Legora at higher absolute valuations; in EvenUp’s case the next 18-24 months of ARR cadence and the Top-100 PI penetration trajectory are the test windows. The LexisNexis strategic investment partially de-risks the growth profile by signalling corpus-and-distribution alignment optionality, but specific commercial commitments have not been disclosed.
Recent IM Coverage
Show recent press coverage of EvenUp
- Oct 2025 — Exclusive: EvenUp raises $150 million Series E at $2 billion valuation as AI reshapes personal injury law.
- Oct 2025 — REV and LexisNexis invest in EvenUp, the leader in AI for personal injury law.
- Oct 2025 — EvenUp, AI platform for personal-injury lawyers, raises $150M at $2B valuation.
- Oct 2025 — Plaintiff bar AI takes off: EvenUp bags $150M.
- Oct 2025 — Legal-tech AI unicorn EvenUp doubles valuation.
- Oct 2025 — EvenUp announces $150M Series E at $2B+ valuation: doubling down on plaintiff PI vertical.
Curated feed of named-source coverage from approved publications — EvenUp’s own newsroom and blog releases, the LexisNexis newsroom announcement of the strategic-investor position, named-author legal-AI press (LawSites / LawNext, Artificial Lawyer), and tier-1 business press (Fortune, Crunchbase News) on the Oct 2025 Series E round. We exclude PR-wire reposts of the same release and unsourced “industry round-up” pieces.
Show the source register for the figures on this page
IM operates a primary-source-where-possible discipline. The figures above come from:
- Revenue — ARR doubling YoY (basis-disclosure note): EvenUp has disclosed ARR doubling YoY and case-volume doubling to 10K per week inside six months, without a precise headline ARR figure — see the EvenUp Oct 2025 Series E blog post and Fortune exclusive coverage. Largest customer ACV cited at $4M+. We decline-to-publish a precise ARR figure pending a primary disclosure on the company newsroom or in a tier-1 named source.
- Customers — 2,000+ firms; 20% Top-100 US PI penetration: EvenUp discloses 2,000+ customer firms with 20% penetration of the Top-100 US plaintiff personal-injury firms and case-volume processing of 10K cases per week as of the Oct 2025 Series E announcement — see the EvenUp blog and LawSites coverage. The Piai domain model is trained on 200K+ PI cases and $10B+ in damages secured.
- Headcount (basis-disclosure note): EvenUp does not publish a primary headcount figure; LinkedIn-derived snapshots place the company in the 500-800 range as of mid-2026 with the founding-team trio (Karabibar, Mashhad, Mieszaniec) intact and bench expansion across product, engineering and enterprise GTM following successive funding rounds. We decline-to-publish a precise headcount pending a primary disclosure on the company newsroom or in a tier-1 named source.
- Funding to date: Cumulative ~$385M raised through the Oct 2025 Series E at $2B+ post-money valuation, Bessemer-led with REV and LexisNexis joining as strategic investors per the Fortune exclusive, LexisNexis newsroom announcement and Crunchbase News. Earlier rounds: Series A $35M (2022, Bain Capital Ventures), Series B $65M (2023, Bessemer), Series C $135M (2024, Bain Capital Ventures and Sapphire Ventures at ~$1B), Series D $150M+ (2024, Bain Capital Ventures at ~$1.7-2B).
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.
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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.
