Harvey is worth $11 billion on roughly $300 million in annualized revenue; Legora is worth $5.6 billion β with talks underway to nearly double that to $10 billion β on roughly $150 million in ARR. That's the short answer. The longer answer is more interesting: these two companies aren't really building the same product.
Legal AI is now a two-horse race between a San Francisco company that wants agents to run a matter end-to-end and a Stockholm company that wants to make a shared workspace smarter. Both have raised nine-figure rounds in the last five months. Both are being adopted inside Big Law at a pace that would have been unthinkable in 2023. Picking between them for your firm depends far less on which one has the bigger number next to its name and far more on how your lawyers actually work.
Some links on this page may point to third-party pricing pages; this comparison is not sponsored and rankings are based only on the data below. See /editorial-standards.

Sources: CNBC, Sacra, TechCrunch, and Sacra's Legora tracker, checked August 2026.
Harvey vs Legora: The Core Difference in 2026
Harvey vs Legora comes down to architecture, not size: Harvey is an agentic platform that runs diligence, drafting, and research end-to-end for large firms, while Legora is a collaborative AI workspace built on top of Microsoft 365 for teams reviewing documents together. Harvey leads on enterprise scale and US litigation depth; Legora leads on cross-border collaboration and price.
Harvey was founded in 2022 in San Francisco by Winston Weinberg and Gabriel Pereyra, and it grew up inside large US law firms β its strongest coverage is litigation support, SEC filings, and the document conventions specific to American legal practice. Legora was founded in Stockholm in 2023, originally under the name Leya, by Max Junestrand, Sigge Labor, and August ErsΓ©us, and it grew up inside global and European firms doing high-volume, cross-border matter work. That founding context still shows up in the product: Harvey wants to be the agent that does the work; Legora wants to be the workspace where your team does the work together.
Harvey vs Legora by the Numbers
The table below pulls together valuation, funding, revenue, and pricing for both companies as of August 2026. Neither company publishes audited financials β both are private β so ARR and customer figures are third-party estimates and company disclosures rather than GAAP numbers.
| Metric | Harvey | Legora |
|---|---|---|
| Latest valuation | $11B (March 2026) | $5.6B (April 2026), seeking $10B (Aug 2026 talks) |
| Latest round size | $200M, co-led by GIC and Sequoia | $600M total ($550M Series D + $50M extension) |
| Total capital raised | ~$1B across 7 rounds | ~$680M+ across Seed through Series D |
| ARR (June 2026 est.) | ~$300M | ~$150M |
| ARR six months prior | ~$100M (Aug 2025) | ~$50M (Dec 2025) |
| Founded / HQ | 2022, San Francisco | 2023 (as Leya), Stockholm |
| Core architecture | Agentic platform, runs work end-to-end | Collaborative workspace layered on Microsoft 365 |
| Customer base | 1,500+ customers, 142,000+ lawyers, 50% of Am Law 100 | Global and European firms, cross-border matter focus |
| Entry-level pricing | ~$1,200β$2,000+/seat/month, 25-seat minimum (~$360K/yr floor) | ~$3,000/seat/year, 10-seat minimum (~$30K/yr floor) |
| Key investors | Sequoia, GIC, Kleiner Perkins, OpenAI Startup Fund | Accel, Benchmark, Bessemer, General Catalyst, ICONIQ, Y Combinator, Atlassian |
Figures are 2026 estimates blended from Harvey's own funding announcement, CNBC, Sacra, TechCrunch, Bloomberg, and Legora's newsroom. Neither company has published audited financials; ARR and valuation figures are private-market estimates and are subject to revision.
Harvey vs Legora: Latest Private Valuation
CNBC and TechCrunch funding coverage, MarchβApril 2026.
Legora's gap narrows fast: it was seeking a fresh round near $10 billion in August 2026 talks, which would put it within striking distance of Harvey's valuation in under six months.
Product: Agentic Diligence vs Collaborative Review
Harvey's product bet is that a lawyer's highest-leverage move is handing an agent a task and reviewing its output, not doing the first draft themselves. Its agents run legal research, contract analysis, and document drafting with minimal human routing in between, which is why it's landed the deepest penetration into large US litigation shops and Am Law 100 firms that need to move enormous document volumes through diligence. Legora's product bet is different: it assumes lawyers already work in shared documents and email threads across firms and clients, so it builds a tabular review layer and a shared AI workspace directly into that existing workflow rather than trying to replace it.
That difference shows up in who buys each product. Harvey's customer base skews toward large, US-headquartered firms running high-stakes litigation and SEC-adjacent work β the kind of matter where an agent running end-to-end diligence saves associates hundreds of billable hours. Legora's strength is in global and European firms handling cross-border matters where multiple teams, sometimes at different firms, need to review the same set of documents together. Neither approach is objectively better; they're built for genuinely different workflows, which is part of why both companies have been able to raise at multi-billion-dollar valuations within months of each other without directly cannibalizing each other's customer base.
What the valuation numbers miss
A $10 billion talk-stage valuation for Legora is not a closed round, and headline ARR figures for both companies are third-party estimates rather than audited revenue β Harvey doesn't publish pricing or financials, and neither company has filed for an IPO. Harvey's CEO Winston Weinberg has described annualized revenue as "significantly north of $200 million" as of March 2026, a looser figure than the $300 million estimate some trackers use for June, and the real number could sit anywhere in that range. Both companies are also burning meaningfully to fund the sales and infrastructure buildout behind that growth, and neither has disclosed a path to profitability. Valuation multiples north of 35x ARR for Harvey and roughly 37x for Legora (at its $5.6B mark) only make sense if growth rates like the ones above hold for several more years β a bet, not a certainty.
Which Legal AI Platform Should Your Firm Actually Choose?
Choose Harvey if: you're a large US firm running high-volume litigation, M&A diligence, or SEC-adjacent work, and you want agents handling first-pass drafting and research with minimal manual routing. The 25-seat minimum and roughly $360,000/year entry point only make sense at real scale β this is not a tool for a 15-person boutique.
Choose Legora if: your firm works across borders, collaborates with co-counsel or clients directly inside shared documents, or is already standardized on Microsoft 365. Its 10-seat minimum and roughly $30,000/year floor make it accessible to mid-size firms that would never clear Harvey's contract minimums, and its European roots mean stronger coverage of non-US regulatory and cross-border matter conventions.
Choose neither yet if: your firm's document volume doesn't justify a five- or six-figure annual contract β smaller point solutions inside our full legal AI tools ranking cover that segment better than either platform here.
The bottom line:
Harvey wins on scale and US enterprise depth at $11B and ~$300M ARR; Legora wins on price and cross-border collaboration at $5.6B and closing the gap fast toward $10B.
Track how private AI company valuations are moving across the market on our AI Valuations dashboard, and see the full breakdown of Harvey's business model in how Harvey actually makes money at Value Add VC. Originally published in the Trace Cohen newsletter.
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