What are the top startups in the Legal Tech market?
In our Legal Tech market deck, you will find everything you need to understand the market
SUMMARY
Harvey is the top startup in the Legal Tech market today, with Legora the clear number two; below them, EvenUp, LegalOn and Eve stand out because they own deeper or more specific legal workflows.
Legal AI has crossed an important line from experimentation to habitual use. At the leading companies, the more revealing metric is no longer how many firms have tried the product, but how quickly usage expands after deployment.
Funding is also becoming concentrated around companies with distribution. Harvey, Legora, Clio and Filevine absorbed more than half of the Legal Tech funding tracked across 2025 and the first quarter of 2026, which suggests investors are increasingly betting on platforms rather than isolated AI features.
The market is splitting into two strong models. Harvey and Legora are building broad legal workspaces, while companies such as EvenUp, Eve and Supio are going much deeper into a single workflow where generic model improvements are less likely to erase the product advantage.
Plaintiff-side Legal Tech is one of the clearest examples of that vertical advantage. EvenUp leads today on accumulated case scale, but Eve's recent customer growth is fast enough that this part of the ranking could change sooner than the broader Harvey-versus-Legora race.
LegalOn is probably the most underappreciated company in the group. Its 9,000-plus customer organizations make it much larger by paid adoption than its U.S. profile suggests, and its move beyond contract review gives it a credible path to become a wider in-house legal platform.
Luminance looks durable, but the contract-AI category is getting unforgiving. Its document history, enterprise distribution and partial control of its own model stack help, yet basic contract review is becoming too easy to reproduce to carry the whole company by itself.
Norm Ai and Eudia are testing a more ambitious business model: selling completed legal work rather than just software. If AI-heavy legal-service delivery works economically, they can attack outside-counsel budgets that are much larger than normal Legal Tech software budgets.
Google, Anthropic and OpenAI will compress the value of shallow legal-AI features, but they are less likely to displace products that already hold firm knowledge, permissions, workflows, case structure and integrations. Big law firms will also build more internally, though the evidence points to a hybrid market where they build unique workflows and still buy specialist platforms.
The valuations are running ahead of the current businesses, especially for Harvey and Legora, and consolidation has already started. The likely winners are broad platforms, deep vertical systems and AI-native legal-service businesses; the awkward place to be is in the middle with one good AI feature and no workflow that is truly owned.
This market map, featured in our Legal Tech market deck, highlights top companies and startups in the Legal Tech market
Why is Legal Tech getting so hot right now?
Legal Tech is getting hot because lawyers have moved from testing generative AI to putting real legal work through it every day.
Thomson Reuters’ 2026 AI in Professional Services research found that 35% of law-firm professionals and 36% of corporate legal professionals were already using paid, industry-specific generative or agentic AI products. Among professionals using generative AI, more than 80% used it at least weekly. The biggest use cases are exactly where language models are strongest: legal research, document review, summarization, drafting and correspondence.
Money has followed adoption. Legaltech Hub counted $4.28 billion invested across 107 Legal Tech rounds in 2025, then another $1.42 billion across 35 rounds in the first quarter of 2026 alone. That first quarter represented roughly one-third of the previous full year's funding in three months.
More interestingly, the capital is concentrating around companies that already have distribution. Harvey, Legora, Clio and Filevine represented more than half of the funding tracked by Legaltech Hub across 2025 and the first quarter of 2026. Investors are paying far more for companies that can become a legal platform than for another clever drafting tool.
So the question today is increasingly about who gets embedded deeply enough into legal work to keep growing once basic AI features become cheap and widely available.
What should “top Legal Tech startup” actually mean?
The top Legal Tech startups are the companies with real usage, meaningful commercial scale and enough control over a legal workflow to survive when the underlying AI models improve.
That definition immediately separates several very different businesses. Harvey and Legora are trying to become broad AI workspaces for large law firms and corporate legal teams. EvenUp, Eve and Supio go much deeper into plaintiff-side litigation. LegalOn and Luminance have built large positions around corporate legal work and contracts. Norm Ai and Eudia are stretching beyond software by combining AI with actual legal-service delivery.
Funding matters, although we give it less weight than customer behavior. A $5 billion valuation tells us investors are excited. A law firm deploying the product to 1,000 lawyers, expanding usage after a pilot and building dozens of recurring workflows tells us much more.
We also leave Clio outside the strict startup ranking. Clio is private and venture-backed, but it was founded in 2008, has reached a $5 billion valuation and paid $1 billion to acquire vLex. At this point, Clio looks more like a private Legal Tech incumbent that younger startups need to beat.
| What we look at | What it tells us | What we mostly ignore on its own |
|---|---|---|
| Revenue and paid usage | Whether customers really value the product | Impressive demos |
| Expansion inside customers | Whether usage survives the initial pilot | Logo announcements |
| Workflow depth | How much legal work the company can capture | One strong AI feature |
| Distribution | How difficult the company is to dislodge | Funding alone |
| Defensibility | Whether the business survives better foundation models | Access to the latest model |
As this chart shows, and as featured in our Legal Tech market deck, search interest in Legal Tech has been growing steadily
Has legal AI actually moved beyond experiments?
Legal AI has clearly moved beyond experiments at the leading Legal Tech startups, although most of the broader market is still much earlier.
Harvey offers the clearest example. Its latest figures show more than 200,000 lawyers using the platform across over 2,400 organizations in 70 countries. That customer count has risen sharply from roughly 1,300 organizations earlier in the year. Harvey also says more than 75 of the Am Law 100 now use it.
Usage is rising even faster than customer count. The Wall Street Journal reported that Harvey's monthly token consumption jumped from roughly 1 trillion tokens in January to 14.5 trillion by June. Harvey also added more than $100 million in net-new ARR during the second quarter alone. Existing customers are plainly doing much more with the product, rather than simply adding another software license to their stack.
Individual rollouts now look different too. During a pilot at Australian law firm Maddocks, 70% of participating lawyers were running Harvey queries daily and 88% returned week after week. The firm subsequently rolled Harvey out across the business. More recently, firms including Jackson Lewis, Nelson Mullins and FBT Gibbons have announced firmwide deployments.
The same pattern is appearing elsewhere. Legora now says more than 100,000 legal professionals across 1,500 law firms and in-house teams use its platform. LegalOn has crossed 9,000 customer organizations. Eve says more than 1,700 plaintiff firms run on its system.
There are still thousands of legal teams experimenting with AI without changing how work gets done. Among the market leaders, though, the pilot phase is increasingly behind us.
Is Harvey clearly the number-one Legal Tech startup right now?
Harvey is clearly the number-one Legal Tech startup today because its commercial growth and actual usage have pulled ahead of every other AI-native legal company.
The financial gap is already substantial. The Wall Street Journal recently put Harvey at roughly $350 million in annual recurring revenue. Harvey added more than $100 million of net-new ARR in a single quarter, which means one quarter of new business was roughly the size of Legora's entire ARR only a few months earlier.
Harvey's distribution is equally hard to dismiss. The company now reports more than 2,400 customer organizations, 200,000 lawyers and over 75 Am Law 100 firms. Its customer base also extends beyond law firms into more than 500 corporate legal departments and a growing asset-management business.
That breadth has become more obvious lately. Harvey acquired Benchmark, an institutional decision platform used by asset managers representing more than $2 trillion in assets, marking Harvey's third acquisition of 2026. It already works with more than 125 asset-management firms. Harvey is starting to move beyond a pure Legal Tech story into professional knowledge work more broadly.
Harvey II points in the same direction. The product adds persistent memory around client history, preferences and previous work, giving Harvey more context than a standalone conversation with a general-purpose model. The company is trying to become the environment where professional work happens repeatedly.
Harvey still has vulnerabilities. It depends heavily on outside foundation models, some customers can build sophisticated internal tools, and an $11 billion completed valuation already assumes an enormous outcome. None of that changes the ranking today. Harvey has the strongest position in Legal Tech by a meaningful margin.
If you want more recent data on this point, please see our latest Legal Tech market report.
This chart, featured in our Legal Tech market deck, illustrates yearly venture capital funding for Legal Tech startups
Is Legora actually catching Harvey?
Legora is the only Legal Tech startup currently close enough to Harvey to make this a real two-company race, but Harvey is still comfortably ahead.
Legora's rise has been unusually fast. The company reached approximately $100 million in ARR around 18 months after launching commercially, then climbed to roughly $150 million. The Financial Times recently reported that Legora has produced more than 50% ARR growth for seven consecutive quarters.
Customer scale has caught up even faster. Legora now says more than 100,000 legal professionals use its platform across more than 1,500 law firms and in-house legal teams. Large customers include firms such as Linklaters, Cleary Gottlieb, Goodwin and Dentons, alongside corporate users including Deloitte and Heineken.
Harvey still has roughly twice Legora's disclosed lawyer count, about 60% more customer organizations and more than twice its reported ARR. Harvey's latest quarter also added over $100 million of net-new ARR on its own. The current commercial gap is hard to explain away.
Legora is trying to close it quickly through acquisitions. It has bought Qura for legal research, Graceview for regulatory work and Wexler for fact intelligence. The strategy is pretty direct: rather than wait years to build every piece internally, Legora is assembling the missing parts of a broader legal operating system.
The valuation race is getting much closer than the revenue race. Legora's last completed round valued the company at about $5.6 billion, and it is now reportedly seeking a valuation above $10 billion. Harvey's completed valuation is $11 billion, with another proposed financing discussed at around $15.5 billion. Those new numbers remain financing targets for now.
| Metric | Harvey | Legora |
|---|---|---|
| Latest reported ARR | ~$350M | ~$150M |
| Customer organizations | 2,400+ | 1,500+ |
| Legal professionals | 200,000+ lawyers | 100,000+ legal professionals |
| Last completed valuation | $11B | ~$5.6B |
| Current position | Clear leader | Closest challenger |
Are vertical Legal Tech startups stronger than generic legal copilots?
The best vertical Legal Tech startups have a very real advantage because they can own an entire legal workflow instead of competing on generic drafting and summarization.
Personal-injury law shows why. EvenUp understands medical records, treatments, damages, case chronology, demands and settlement workflows. Eve follows cases from intake through investigation, drafting, litigation and firm management. Supio combines medical-document analysis with case economics, demands, exhibits and litigation preparation.
A general legal assistant can become much better at writing tomorrow when OpenAI, Anthropic or Google releases a stronger model. Reproducing the complete operating process around a personal-injury case is harder.
The data gets more useful as well. EvenUp says its Piai model has been trained using hundreds of thousands of injury cases and millions of medical records. Supio has processed more than 27,000 cases that contributed to over $1 billion in settlements. Eve processes more than 12.5 million documents each month and evaluates models against roughly 420 internal test suites built around plaintiff-law work.
We should be careful with the phrase “data moat.” Confidential client information cannot simply be pooled into one unrestricted training set, and public law is available to many competitors. The stronger advantage comes from turning recurring legal work into structured information, then embedding that structure into software customers use every day.
That makes a deep vertical platform potentially harder to replace than another horizontal legal chat interface, even if its total market is smaller.
If you want more recent data on this point, please see our latest Legal Tech market report.
This chart, featured in our Legal Tech market deck, looks at Clio’s strategy in Legal Tech
Who is winning plaintiff-side Legal Tech: EvenUp, Eve or Supio?
EvenUp still leads plaintiff-side Legal Tech, but Eve has closed the gap surprisingly fast and Supio is becoming a serious third competitor.
EvenUp has the strongest accumulated scale. More than 2,000 firms use the platform, including roughly 20% of the 100 largest U.S. personal-injury firms. The company says it has helped resolve more than 200,000 cases and secure more than $10 billion in damages. Its case volume nearly doubled over a six-month period to roughly 10,000 cases a week.
That historical volume gives EvenUp an advantage because personal-injury law has recurring structures that software can learn to organize. EvenUp began with demand packages and has expanded into medical management, case preparation, negotiation support and communication agents. The product now touches far more of the case than it did when the company first became well known.
Eve is growing faster. According to Anthropic's latest case study, more than 1,700 plaintiff firms now run on Eve, with about 500 added in a single quarter. The platform processes 12.5 million documents per month and can work through case files ranging into tens of thousands of pages. Eve says customers settle cases up to 60 days faster and can take on up to 30 additional cases per lawyer each year. Those outcome numbers come from Eve and Anthropic, so we would treat the exact percentages cautiously, but the customer-growth number alone makes Eve difficult to ignore.
Supio is smaller, although its trajectory has become much stronger. The company says ARR has grown 17-fold since it came out of stealth less than two years ago. It has raised $91 million, processed more than 27,000 cases and recently expanded Supio Agent across both case-level and firm-level workflows. Its partnership with Thomson Reuters also gives Supio access to legal research infrastructure that would be expensive to recreate independently.
EvenUp wins this comparison today because it has the deepest disclosed case history, the largest customer base and the clearest category position. Eve is now close enough that another few quarters of similar growth could change the answer.
| Company | Current scale we can verify | Strongest advantage | Main question |
|---|---|---|---|
| EvenUp | 2,000+ firms, 200,000+ resolved cases | Deep personal-injury case intelligence | Can it keep dominating as competitors broaden? |
| Eve | 1,700+ firms, 12.5M documents processed monthly | Extremely fast adoption and broad plaintiff workflow | Can recent growth hold? |
| Supio | 27,000+ cases, 17x ARR growth since stealth | Strong litigation workflow and Thomson Reuters relationship | Can it close the distribution gap? |
Is LegalOn much bigger than people realize?
LegalOn is considerably bigger than its U.S. hype suggests, and its latest customer growth makes it one of the strongest commercial businesses in Legal Tech.
LegalOn now serves more than 9,000 organizations worldwide. The company added more than 1,000 customers in roughly six months, its fastest customer growth so far, after already quadrupling its customer base over the previous three years. More than 30% of listed Japanese companies use LegalOn's paid services.
Revenue is substantial too. LegalOn crossed ¥10 billion of ARR in 2025, worth roughly $67 million around the time of the announcement. That puts LegalOn well below Harvey and Legora on revenue, but its customer base is several times larger because LegalOn sells heavily into corporate legal departments rather than concentrating on huge BigLaw deployments.
The product has also changed. Contract review remains LegalOn's strongest position, but the company has added matter management, Vault for contract intelligence, five specialized AI agents and more than 100 attorney-built workflows across areas including privacy, employment, compliance, M&A and litigation. Its Fides acquisition added entity and board governance.
That expansion matters because contract review alone is becoming crowded. LegalOn is now trying to own the everyday workspace of an in-house legal department, from the first request through contract execution and later obligations.
LegalOn belongs near the top of the ranking today. Its lower profile mostly reflects where it became large, not a lack of actual scale.
This chart, featured in our Legal Tech market deck, illustrates yearly funding for Legal Tech startups
Can Luminance stay important as contract AI gets crowded?
Luminance can remain a major Legal Tech company because it has moved well beyond basic contract review, although contract AI is becoming one of the hardest categories in which to stay differentiated.
More than 1,000 organizations across 70 countries now use Luminance, including all Big Four professional-services firms and more than one-quarter of the Global Top 100 law firms. North American revenue grew 127% year over year in the company's latest disclosed annual figures, while global revenue doubled for a second consecutive year.
The more interesting number is 220 million. Luminance says its AI has analyzed more than 220 million documents, giving the company years of legal-document experience that newer entrants do not have. Its latest architecture keeps negotiation history and legal decision-making across an organization's contract portfolio, so previous decisions can influence future work.
Luminance has also built its own specialized model, Luna Crescent, while continuing to use a multi-model architecture. We would not put much weight on vendor claims that its internal model beats frontier models on selected benchmarks. Model rankings change too quickly. The useful part is that Luminance controls more of its own technical stack than a company whose entire product depends on forwarding requests to one external API.
Its alliance with LexisNexis strengthens the other side of the product by bringing authoritative legal material into the workflow.
Luminance probably will not win the broad Legal Tech platform race against Harvey or Legora. It does have a credible path to remain one of the strongest specialists around enterprise contracts and institutional contract intelligence.
Are Norm Ai and Eudia building something bigger than Legal Tech software?
Norm Ai and Eudia are chasing a bigger prize than normal Legal Tech SaaS because both companies want customers to buy completed legal work, not simply software that helps lawyers work faster.
Norm Ai is the more radical example. The company raised $120 million at a $1.2 billion valuation in 2026, taking total funding above $260 million. Institutions managing more than $35 trillion in combined assets now use its technology, according to Norm's latest company figures.
Norm Law changes the business model. The affiliated law firm uses Norm Ai's agents alongside senior lawyers and can price work around outcomes rather than billable hours. Its legal team includes lawyers who previously worked at firms such as Kirkland & Ellis, Sidley Austin, Simpson Thacher, Paul Weiss, Davis Polk and Skadden.
Eudia is approaching the same idea from corporate legal departments. After raising more than $105 million, Eudia acquired Johnson Hana and Out-House and launched Eudia Counsel. Customers cited publicly include Cargill, Duracell and other large enterprises. Eudia says Cargill cut contract research time by 50%, Coherent reduced contract-review time by 78% and Duracell cut contracting costs by 50%.
Those figures come from customer case studies rather than audited financial reporting, but the structure of the business is more interesting than the percentages. Norm and Eudia can potentially attack outside-counsel budgets, which are much larger than Legal Tech software budgets.
We rank both below today's biggest software platforms because neither discloses enough revenue, retention or customer-volume data to prove comparable scale. Their upside could nevertheless be larger than several companies currently above them if AI-heavy legal-service delivery works economically.
This chart, featured in our Legal Tech market deck, compares the main business model options for Legal Tech SaaS platforms
Can Google, Anthropic and OpenAI make Legal Tech startups obsolete?
Google, Anthropic and OpenAI will make many Legal Tech features cheap and interchangeable, but the strongest Legal Tech startups already own more than the underlying model.
Google's direct move into legal AI makes the pressure especially clear. Gemini Enterprise for Legal includes specialized agents and skills for drafting, citation checking, contract work and regulatory monitoring, with integrations into legal systems such as iManage, NetDocuments, Relativity, Everlaw and DocuSign. Google developed the product with major firms including Freshfields and Cleary Gottlieb.
Anthropic is also becoming deeply involved in legal workflows. Eve runs its hardest plaintiff-law tasks on Claude and routes workloads across multiple cloud environments. OpenAI models have powered several legal products from their earliest versions. Microsoft combines Copilot with specialist products such as Harvey inside its own legal organization.
Simple features will get crushed by this. Summarizing a contract, asking questions about a document or drafting a first version of a clause is unlikely to support a large independent company forever.
Harvey, Legora, EvenUp and the stronger platforms have been moving higher up the stack for exactly that reason. Harvey now connects institutional memory, permissions, documents, custom agents and firm workflows. Legora is buying research and fact-intelligence products. EvenUp turns case records into structured plaintiff-law workflows. LegalOn stores organizational standards and previous contract information.
Switching those systems involves more than selecting another model from a menu. Customers have to move integrations, workflows, permissions, internal knowledge, templates, benchmarks and trained behavior.
The foundation-model companies are still the biggest strategic threat in the market. They are most dangerous to Legal Tech startups whose product remains one good prompt away from being reproduced.
If you want more recent data on this point, please see our latest Legal Tech market report.
Will big law firms eventually build their own AI instead of buying Harvey or Legora?
Large law firms will build a lot of their own AI, but the evidence so far suggests they will keep buying specialist Legal Tech as well.
Kirkland & Ellis is the extreme case. The firm has committed roughly $500 million over several years to proprietary AI and technology, with more than $100 million expected in 2026 alone. Its internal technology organization includes roughly 180 engineers and data scientists, supported by input from hundreds of lawyers.
Kirkland is already building serious proprietary products. Its work with Palantir produced an internal fund-formation platform for a practice group with more than 1,000 lawyers. That group helped raise or target nearly $500 billion of capital in 2025, so proprietary software can create enormous value even if the productivity gain is fairly small.
Yet Kirkland still licenses outside AI products. That is probably where the market settles for the richest firms: proprietary systems for the workflows that make the firm unique, plus external platforms for capabilities that do not need to be rebuilt internally.
The latest Harvey deployments point in the same direction. Firms with substantial technology budgets such as Jackson Lewis, Foley & Lardner and others are still rolling Harvey out firmwide rather than deciding that internal AI makes external tools unnecessary.
Most law firms cannot imitate Kirkland anyway. Building a team of hundreds around proprietary AI only makes sense at the very top of the market.
For Harvey and Legora, the bigger risk is losing part of the highest-value workflow to internal systems, rather than losing BigLaw customers altogether.
This chart, featured in our Legal Tech market deck, breaks down revenue across customer segments in the Legal Tech market
Are Legal Tech valuations getting ahead of the actual businesses?
Legal Tech valuations are extremely aggressive now, especially around Harvey and Legora, although both companies are growing fast enough that calling them pure hype would be wrong.
Harvey's last completed financing valued the company at $11 billion. Against roughly $350 million of current ARR, that represents about 31 times revenue. Harvey is reportedly discussing another financing at approximately $15.5 billion, which would push the rough multiple above 40 times today's ARR if it closes around that level.
Legora's last completed valuation was approximately $5.6 billion. With ARR now around $150 million, the crude ratio is roughly 37 times revenue. A possible new valuation above $10 billion would put Legora around 67 times current ARR.
Those numbers are difficult to justify if legal AI settles into ordinary productivity SaaS. Investors are betting on something bigger: that one or two platforms could become the main software environment through which a large percentage of global legal knowledge work gets done.
The market-wide funding numbers need similar context. Legaltech Hub tracked $4.28 billion across 107 rounds in 2025 and $1.42 billion in the first quarter of 2026. Yet a handful of large companies captured a huge share of that money. The boom is real, but capital is clustering around perceived winners.
We would be much more cautious about Legora's proposed $10 billion-plus valuation than about the underlying company. Legora is growing extraordinarily fast; the valuation simply assumes that pace lasts for much longer than we can know today.
| Company | Last completed valuation | Latest reported ARR | Rough valuation / ARR |
|---|---|---|---|
| Harvey | $11B | ~$350M | ~31x |
| Legora | ~$5.6B | ~$150M | ~37x |
| EvenUp | $2B+ | Not publicly disclosed | N/A |
| Norm Ai | $1.2B | Not publicly disclosed | N/A |
If you want more recent data on this point, please see our latest Legal Tech market report.
Is Legal Tech already consolidating around a few winners?
Legal Tech consolidation has already started, and the pace of acquisitions suggests standalone AI features are becoming harder to defend.
Legora has been especially aggressive. Its acquisitions of Qura, Graceview and Wexler added legal research, regulatory intelligence and fact analysis. Harvey has also completed three acquisitions during 2026, including Benchmark, which pushes it deeper into investment and deal workflows.
The older private platforms are moving too. Clio paid $1 billion for vLex, combining practice-management distribution with a legal-research platform containing more than one billion editorially enriched legal documents across roughly 110 jurisdictions. Relativity acquired Gavel to bring additional AI drafting and review capabilities into Microsoft Word workflows. LegalOn bought Fides to add corporate governance.
Spellbook's financing tells the same story from another angle. The company has more than 4,000 legal teams using its Word-based contract AI and arranged $40 million of acquisition financing specifically to participate in Legal Tech consolidation.
There is also evidence of what happens to point solutions that cannot keep raising. Robin AI reached roughly $10 million of ARR but later entered a distressed sale process after struggling to secure its next large financing. Microsoft subsequently hired a group of former Robin AI employees.
We expect fewer independent companies over the next few years. Broad platforms will keep buying missing capabilities, and strong vertical leaders will deepen their workflows. The uncomfortable middle is a company with a good AI feature, modest distribution and no workflow it clearly owns.
This chart, featured in our Legal Tech market deck, shows how AI contract review platform technology has evolved over time
Which Legal Tech startups are actually the top companies today?
Harvey is the top Legal Tech startup today, Legora is the clear number two, and the most convincing challengers below them are increasingly companies that dominate one specific legal workflow.
Harvey has separated itself through roughly $350 million of ARR, more than 2,400 customer organizations, over 200,000 lawyers and a quarter in which it added more than $100 million of net-new ARR. No other Legal Tech startup currently combines that financial scale with comparable enterprise penetration.
Legora earns second place because it is the only horizontal startup growing fast enough to threaten Harvey. Roughly $150 million of ARR, more than 1,500 organizations, 100,000 legal professionals and seven consecutive quarters of more than 50% ARR growth make it far more than a distant runner-up.
EvenUp remains our number three. Owning a narrower market can be an advantage when the workflow is deep, and EvenUp has accumulated more than 200,000 resolved cases across over 2,000 plaintiff firms. Its position inside personal injury looks harder to reproduce than a generic legal copilot.
LegalOn moves to fourth. Its latest milestone of more than 9,000 customers makes it one of the largest Legal Tech companies by paid organizational adoption, while its expansion from contract review into matter management, agents, workflows and governance gives it more room to grow inside those customers.
Eve takes fifth because 1,700-plus plaintiff firms after roughly two years is remarkable. Adding about 500 firms in one quarter makes Eve the company most likely to move materially higher in this ranking if the pace continues.
Luminance follows with more than 1,000 organizations, strong U.S. growth and a credible specialist position around contract intelligence. Norm Ai ranks seventh because its AI-native law-firm model could eventually capture much more spending than conventional software, although the commercial evidence is still thinner. Eudia deserves a similar place in the conversation, while Spellbook and Supio round out the top ten.
The ranking also tells us something about where Legal Tech is heading. The strongest companies currently fall into three groups: broad legal operating platforms, deep vertical systems and AI-native legal-service businesses. Simple copilots are already getting squeezed out of the top tier.
As of now, Harvey has the strongest claim to becoming the defining company of this Legal Tech cycle. Legora is the only startup close enough to challenge that position across the same broad market. Below those two, we would rather own a deep workflow such as EvenUp's or Eve's than another horizontal assistant with little proprietary distribution.
| Rank | Legal Tech startup | Why we rank it here | Biggest risk |
|---|---|---|---|
| 1 | Harvey | ~$350M ARR, 2,400+ organizations, 200,000+ lawyers, exceptional recent expansion | Big Tech and customer-built AI |
| 2 | Legora | ~$150M ARR, 1,500+ organizations, seven straight quarters of >50% ARR growth | Valuation and Harvey's scale advantage |
| 3 | EvenUp | 2,000+ firms and 200,000+ resolved cases in personal injury | Vertical concentration |
| 4 | LegalOn | 9,000+ customers and a rapidly broadening in-house legal platform | Lower revenue density than BigLaw platforms |
| 5 | Eve | 1,700+ plaintiff firms and exceptionally fast recent customer growth | Shorter operating history than EvenUp |
| 6 | Luminance | 1,000+ organizations, strong growth and deep contract intelligence | Crowded contract-AI market |
| 7 | Norm Ai | $1.2B valuation and an AI-native legal-services model | Limited disclosed revenue data |
| 8 | Eudia | Major enterprise relationships plus AI-augmented legal delivery | Commercial scale remains opaque |
| 9 | Spellbook | 4,000+ legal teams and strong Word-native distribution | Contract AI is rapidly commoditizing |
| 10 | Supio | 17x ARR growth since stealth and deep plaintiff-law specialization | Smaller installed base than EvenUp and Eve |
If you want more recent data on this point, please see our latest Legal Tech market report.
OUR METHODOLOGY
There is no single metric that tells us which Legal Tech startups are actually leading the market. We compare commercial scale, paid usage, customer growth, expansion inside major legal organizations, workflow depth, product breadth, acquisitions, partnerships, financing and competitive position.
We give more weight to recent operating evidence than to historical reputation or funding alone. ARR, repeat usage, firmwide deployments, case volume and customer expansion tell us more than a large valuation or a strong demo when the goal is to understand which companies are becoming embedded in legal work.
We do not force unlike metrics into an artificial score. A lawyer count, an ARR figure, a case-volume number and an enterprise deployment describe different forms of strength, so each is used where it is most informative and then compared across the wider evidence.
We also distinguish between the quality of the evidence. Direct company disclosures, customer deployments, authoritative industry data and high-quality reporting carry the most weight. Company-reported outcome claims are used more cautiously when they are not independently verified, and proposed financings are treated differently from completed rounds.
Clio is excluded from the strict startup ranking despite remaining private and venture-backed. Founded in 2008, valued at $5 billion and now large enough to acquire vLex for $1 billion, it is more useful here as a private Legal Tech incumbent that younger companies have to compete with.
Key sources used for this analysis include Thomson Reuters’ 2026 AI in Professional Services Report, Legaltech Hub’s 2025 and Q1 2026 funding analysis, Harvey’s customer data, Harvey’s $11 billion financing announcement, Legora’s ARR milestone, EvenUp’s Series E and operating-scale disclosure, LegalOn’s ¥10 billion ARR announcement, Luminance’s growth and document-scale disclosure, Norm Ai’s Series C announcement, Eudia’s Out-House acquisition announcement, Google Cloud’s Gemini Enterprise for Legal announcement, Clio’s vLex acquisition and Series G announcement, Bloomberg Law’s reporting on Kirkland & Ellis’ AI investment, and Thomson Reuters’ Supio partnership disclosure.
In our Legal Tech market deck, we identify pain points entrepreneurs should prioritize
