What are the top legal AI startups by revenue today?

The ranking of top startups in the legal AI market by revenue

Below is a table ranking the startups of this market by their current revenue scale. You can find our methodology at the end of this page.

If you want a deeper understanding of the market and its current dynamics, get our report on the legal AI market.

Which legal AI startups make the most revenue today?

LegalZoom currently ranks first among legal AI startups by revenue, with $756M in fiscal-year 2025 sales, followed by Intapp at $578M, Clio at more than $500M ARR, Harvey at more than $400M ARR, and Icertis at approximately $350M ARR.

The next five are Legora, Ironclad, Filevine, DISCO, and 8:00 AM. Together, these companies show how far legal AI has moved beyond experimental software. Yet they make money in very different ways. LegalZoom sells consumer legal services and subscriptions, Intapp serves professional-services firms, Clio runs a broad legal software platform, and Harvey builds AI products specifically for legal work.

The difference becomes especially visible when we compare the financial disclosures. LegalZoom's $756M and Intapp's $578M are recognized annual revenue. Clio, Harvey, and Icertis report annual recurring revenue (ARR), which measures their recurring subscription base rather than sales recognized over a completed financial year. Filevine's approximately $250M ARR is an external estimate, while 8:00 AM's more than $200M run-rate dates back to June 2022.

Our ranking gives greater weight to credible financial disclosures, the period they cover, and how directly they measure revenue. That explains why Filevine sits below Legora and Ironclad despite its higher estimated ARR, and why 8:00 AM's older run-rate sits below DISCO's verified 2025 revenue.

Rank	Startup	Revenue or ARR	Metric and period
1	LegalZoom	$756M	FY revenue, 2025
2	Intapp	$578M	FY revenue, FY2026
3	Clio	>$500M	ARR, May 2026
4	Harvey	>$400M	ARR, September 2026
5	Icertis	~$350M	ARR, August 2025
6	Legora	>$200M	ARR, October 2026
7	Ironclad	>$200M	ARR, February 2026
8	Filevine	~$250M	Estimated ARR, April 2026
9	DISCO	$157M	FY revenue, 2025
10	8:00 AM	>$200M	Revenue run-rate, June 2022
11	EvenUp	~$100M	Estimated ARR, July 2026
12	LegalOn Technologies	>JPY 10B	ARR, September 2025
13	Luminance	~$60M	Estimated ARR, December 2025
14	Onit	~$54.5M	Estimated annual revenue, 2025
15	ContractPodAi	~$47.1M	Estimated annual revenue, 2024
16	Jus Mundi	~$37.3M	Estimated annual revenue, 2025
17	Lawhive	>$35M	Revenue run-rate, February 2026
18	Sirion	INR 2.77B	Indian subsidiary FY revenue, FY2025
19	Lexroom	€25M	ARR, September 2026
20	Actionstep	~$26.4M	Estimated annual revenue, 2025

Why is legal AI suddenly making so much money?

Legal AI is making serious money because law firms and corporate legal departments have started paying for tools they can use every day, while clients are putting growing pressure on lawyers to work faster.

Thomson Reuters' 2026 Future of Professionals survey found that 71% of surveyed in-house legal professionals expected outside law firms to change how they charge as AI use increases. Only 28% of law firms said they had changed their pricing in response. The same survey found that 77% of clients considered AI-enabled quality improvements very important or essential, although just 5% said most or all of their providers were delivering them.

That gap helps explain why companies are buying specialized software. Legal AI can shorten document review, speed up case-law searches, draft legal documents, and organize large case files. These are regular tasks that law firms already spend considerable money on.

The speed of commercial expansion is striking. Harvey, founded in 2022, exceeded $400M ARR by September 2026. Legora, founded in 2023, surpassed $200M ARR in October 2026. Older businesses such as Icertis and Ironclad have also reached hundreds of millions in ARR, but over much longer company histories.

Legal AI has clearly found paying customers. The harder question now is how much of that spending will remain with specialist vendors as larger software platforms add similar features.

Is LegalZoom really the biggest legal AI startup?

LegalZoom is the highest-ranked legal AI startup by revenue today, although its $756M in 2025 sales comes mainly from a broader legal-services business rather than a standalone generative AI product.

LegalZoom's February 2026 financial results showed 11% annual revenue growth from $682M in 2024 to $756M in 2025. Subscription revenue reached $492.5M, up 13%, and accounted for roughly 65% of total sales. The company also generated $15.4M in net income.

These numbers tell us something that ARR figures alone cannot: LegalZoom already operates a large, profitable consumer legal-services business. Its subscriptions, business formation services, compliance offerings, and other legal products existed before generative AI became central to the industry.

The company is now adding AI capabilities to that distribution network. Its October 2026 launch of an AI assistant for business owners illustrates how it can introduce AI products to customers already buying legal services.

LegalZoom therefore ranks first on company revenue. Harvey and Legora are much more concentrated bets on AI-native legal software.

Is Intapp bigger than Clio?

Intapp ranks ahead of Clio in legal AI revenue, with $578M in FY2026 recognized revenue compared with Clio's more than $500M ARR as of May 2026.

Intapp's SEC filing for the fiscal year ending June 2026 provides a company-wide figure. Its software supports professional-services firms, including law firms, accounting firms, investment banks, and other advisory businesses. Consequently, some of Intapp's sales come from outside the legal industry.

Clio has a more concentrated legal software business. Its May 2026 announcement confirmed that ARR had passed $500M following its acquisition of vLex. The company also reported serving legal professionals across more than 130 countries.

The acquisition changed Clio's product range considerably. Its original strength was helping law firms manage clients, cases, billing, and operations. With vLex, Clio added a large legal information and AI business, bringing more of a lawyer's daily work into one platform.

Both companies have reached half-billion-dollar scale, but Clio's expansion into legal analysis puts it in more direct competition with AI-native products such as Harvey and Legora.

Is Harvey the largest AI-native legal startup?

Harvey is currently the highest-ranked AI-native legal assistant startup, having exceeded $400M ARR in September 2026, ahead of Legora's more than $200M ARR.

Harvey's growth is particularly remarkable given that the company was founded in 2022. Its September 2026 funding announcement confirmed a $550M investment at a $15.5B valuation, alongside adoption by 80% of Am Law 100 firms and five Fortune 10 companies.

That 80% figure deserves attention. Rather than relying on thousands of small customers, Harvey has already reached many of the largest law firms in the United States. These firms can buy large numbers of licenses and expand AI use across drafting, litigation, transactional work, and legal analysis.

Harvey has also moved beyond its original assistant model, introducing tools for broader legal workflows and case-law analysis. This gives the company more opportunities to sell additional capabilities to firms that already use its products.

The disclosed ARR milestones put Harvey well ahead of Legora, although the companies' exact current revenues are not public.

Is Harvey growing faster than older legal software companies?

Harvey has reached hundreds of millions in recurring revenue unusually quickly, but we cannot establish that it currently has the highest growth rate among legal software startups without comparable annual figures from its competitors.

The company's more than $400M ARR milestone came roughly four years after its founding. Icertis, founded in 2009, was approaching $350M ARR in August 2025. Ironclad, founded in 2014, surpassed $200M ARR in February 2026.

These milestones occurred in different years, and the companies sell different products. Icertis and Ironclad built contract-management businesses long before today's generative AI boom.

Still, Harvey's customer penetration helps explain the speed. The company has already reached 80% of the Am Law 100, a group that includes some of the world's largest and highest-spending law firms.

That also creates a new challenge. Once Harvey has sold to most of the biggest US firms, future growth must increasingly come from larger contracts, more users within existing customers, international expansion, and new products. Winning another famous law-firm logo alone will no longer tell us much about its growth.

Can Legora catch Harvey in legal AI revenue?

Legora is Harvey's most visible large-scale AI-native challenger, but Harvey currently has the stronger disclosed revenue position, with more than $400M ARR against Legora's more than $200M.

Legora's October 2026 Series E announcement disclosed $550M in fresh investment at an $8.8B valuation. Harvey had announced the same funding amount the previous month, although its valuation was considerably higher at $15.5B.

The financing rounds show that investors are backing both companies heavily, but their valuations and funding totals are separate from revenue. Harvey's disclosed ARR milestone remains twice the threshold announced by Legora.

Legora is competing through a legal AI workspace covering case-law analysis, drafting, document review, and related professional tasks. Its approach overlaps increasingly with Harvey's broader product range.

Lexroom also provides an interesting comparison. The Italian legal AI startup reported €25M ARR in September 2026, demonstrating that smaller European businesses are finding customers in specialized legal markets.

Legora has already become a major competitor. Catching Harvey means continuing its rapid expansion while Harvey pushes deeper into some of the world's highest-spending law firms. We haven't yet seen enough comparable financial information to know how quickly the gap is closing.

Are contract AI startups making as much money as legal research AI startups?

Contract AI has produced several large software businesses, led in our ranking by Icertis at approximately $350M ARR and Ironclad at more than $200M ARR, while Harvey remains ahead among AI-native legal assistants.

Icertis and Ironclad focus on contract lifecycle management, helping businesses create, approve, negotiate, track, and analyze agreements. Their customers extend beyond law firms into procurement, finance, sales, and corporate legal departments.

Luminance, estimated at approximately $60M ARR at the end of 2025, is another significant contract-focused startup. Further down the ranking, ContractPodAi was estimated at $47.1M in 2024 annual revenue, while Juro reported £9.66M in 2025 revenue through its UK corporate filings.

The legal assistant category includes Harvey at more than $400M ARR, Legora at more than $200M ARR, and LegalOn Technologies at more than JPY 10B ARR. These vendors mainly sell tools that help legal professionals find, interpret, and work with legal information, although the boundary with contract software is becoming less clear.

Contract management has a long-established software market behind it. The newer legal assistant vendors have been growing from a much more recent AI-driven base. Both categories already support nine-figure businesses, but a reliable category-wide revenue total is still difficult to calculate from public disclosures.

How much money do AI litigation startups make?

AI-powered litigation software has several companies at meaningful commercial scale, including Filevine at an estimated $250M ARR, DISCO at $157M in 2025 revenue, and EvenUp at an estimated $100M ARR.

Filevine sells case management and related software to law firms. DISCO provides electronic discovery technology for managing and analyzing evidence, while EvenUp concentrates on plaintiff-side personal-injury workflows.

The figures are not equally reliable. DISCO's $157M comes from SEC-filed results, whereas Filevine's and EvenUp's ARR numbers are third-party estimates. That difference helps explain why DISCO ranks ahead of EvenUp and why Filevine's higher estimate does not push it above vendors with stronger direct disclosures.

There is also a growing group of smaller litigation-focused startups. Darrow reported an estimated $26M in 2024 revenue, while Supio was estimated at $6.4M in 2025. DeepJudge, at an estimated $3.7M in 2025, focuses on legal knowledge search.

These businesses cover different stages of litigation, from organizing evidence and examining cases to drafting documents and preparing claims. There's plenty of room for specialized tools, particularly where a specific type of legal work still involves hours of manual document handling.

Which smaller legal AI startups already make millions in revenue?

Eudia, GC AI, Juro, Solve Intelligence, and several other smaller legal AI startups have reached meaningful commercial scale, although their reported figures range from directly disclosed ARR to relatively weak third-party estimates.

Eudia exceeded $20M ARR by December 2025, while GC AI was estimated at approximately $20M ARR in July 2026. Both focus heavily on corporate legal departments, where AI can help with internal legal requests, contracts, and recurring business questions.

Juro's £9.66M in 2025 turnover is particularly useful because it comes from statutory accounts. Solve Intelligence's more than $10M ARR, disclosed through an investor update, points to growing demand for specialized patent AI.

Below these firms, there are companies with estimated annual revenue in the single-digit millions. Some have very recent figures, while others rely on models from 2023 or 2024. Those estimates deserve considerably less confidence than statutory filings.

Rank	Startup	Revenue or ARR	Metric and period
21	Darrow	$26M	Annual revenue, 2024
22	MarqVision	~KRW 30B	ARR, June 2025
23	LawGeex	~$22M	Estimated annual revenue, June 2024
24	Eudia	>$20M	ARR, December 2025
25	GC AI	~$20M	Estimated ARR, July 2026
26	MinutaIA	BRL 100M	ARR, August 2026
27	SpotDraft	~$13.5M	Estimated annual revenue, 2025
28	Juro	£9.66M	FY revenue, 2025
29	BRYTER	~$12.3M	Estimated annual revenue, October 2024
30	Solve Intelligence	>$10M	ARR, December 2025
31	Avvoka	~$10M	Estimated annual revenue, October 2024
32	Enter	BRL 50M	ARR, December 2025
33	Athennian	~$8.9M	Estimated annual revenue, September 2025
34	Lawmatics	>$1M	Monthly revenue, January 2026
35	Supio	~$6.4M	Estimated annual revenue, 2025
36	LegalMation	~$6.4M	Estimated annual revenue, 2023
37	Checkbox	~$5.5M	Estimated annual revenue, November 2024
38	Tomorro	~$5.41M	Estimated annual revenue, 2025
39	Case Status	~$3.8M	Estimated annual revenue, 2024
40	DeepJudge	~$3.7M	Estimated annual revenue, 2025
41	Genie AI	~$3.2M	Estimated annual revenue, September 2025
42	Quillio	>AUD 1M	ARR, September 2026

How do legal AI startups actually make money?

Most of the largest legal AI startups make money through recurring software subscriptions, although companies such as LegalZoom and Lawhive show that AI-supported legal services can also generate substantial revenue.

Clio, Harvey, Icertis, Legora, and Ironclad all disclose ARR, reflecting subscription-based customer relationships. Their customers pay for ongoing access to software that supports legal work.

LegalZoom combines subscriptions with transactions and services. Its 2025 results show how important recurring payments have become: $492.5M of its $756M revenue came from subscriptions.

Lawhive takes a different approach. The company reported a revenue run-rate above $35M in February 2026 from an AI-supported legal-services model. It uses technology to help deliver legal work rather than relying solely on software licenses.

Lawmatics provides another example. In January 2026, the company reported monthly revenue above $1M from its law-firm management and client relationship software.

These business models can produce very different profit margins. Software subscriptions, payment processing, professional legal services, and AI inference each carry different costs. Revenue alone cannot tell us which company has the most attractive economics.

Are legal AI startups replacing lawyers or helping them work faster?

Most successful legal AI startups currently sell tools that help lawyers do their jobs faster, while companies such as Lawhive are trying to change how legal services are delivered.

Harvey, Legora, and LegalOn Technologies focus on legal analysis, drafting, and related professional work. EvenUp and Supio help lawyers handle specific litigation tasks. Lawhive goes further by combining AI with the delivery of legal services.

The pressure on traditional law firms is already visible. Thomson Reuters' 2026 survey found that 32% of in-house legal professionals were reconsidering relationships with firms that did not demonstrate clear AI-enabled value within 12 months. Yet only 11% of law firm professionals believed they could begin losing clients within that period.

Corporate clients are becoming more demanding, while many lawyers still expect their existing business model to remain intact. That difference in expectations could become uncomfortable pretty quickly.

For now, software sold to legal professionals remains the dominant model among the largest ranked startups. AI-supported legal service providers offer a different route, particularly for work that can be standardized and delivered at lower cost.

Can Harvey and Legora really compete with Thomson Reuters and LexisNexis?

Harvey and Legora can compete with established legal information providers in AI-powered workflows, but their revenue is still much smaller than the broader legal businesses of Thomson Reuters and LexisNexis.

Thomson Reuters reported $2.87B in 2025 revenue from its Legal Professionals segment. RELX reported £1.81B from its Legal segment, which includes LexisNexis. Wolters Kluwer reported €1.01B from Legal & Regulatory activities.

Those established companies are outside our startup ranking, and their figures include information subscriptions, legal content, and services that extend well beyond generative AI.

Harvey's more than $400M ARR and Legora's more than $200M ARR nevertheless show that newer companies can build substantial businesses alongside those providers.

The established firms have valuable legal content libraries, proprietary information, and long-standing customer relationships. Harvey and Legora compete through AI-focused products and workflows, while the established providers are incorporating similar capabilities into their existing platforms.

A lawyer may use tools from both groups, particularly when AI-generated analysis still needs to be checked against authoritative legal sources.

Which countries have the biggest legal AI startups?

The United States has a particularly strong presence among high-revenue legal AI startups, but Canada, Europe, Japan, India, Brazil, and South Korea are also producing commercially significant companies.

American startups include LegalZoom, Intapp, Harvey, and Ironclad. Canada is represented prominently by Clio, which exceeded $500M ARR after acquiring vLex.

Europe has several important AI-native and specialized businesses, including Legora, Luminance, Lexroom, and Juro. Their products cover legal analysis, contract workflows, and drafting.

The international figures become especially interesting when we move outside English-speaking markets. LegalOn Technologies exceeded JPY 10B ARR, MarqVision reported approximately KRW 30B ARR, and Brazil's MinutaIA reached BRL 100M ARR.

These companies are working with different legal systems, languages, and customer expectations. A legal assistant developed for American law firms cannot simply assume that the same legal sources, court procedures, or documentation practices apply in Japan or Brazil.

Legal AI is becoming a global software market, with room for regional specialists that understand local legal work.

Are Brazil and Japan becoming big legal AI markets?

Brazil and Japan already have legal AI companies with substantial recurring revenue, and their growth shows that this business extends well beyond US and European law firms.

LegalOn Technologies announced that ARR had exceeded JPY 10B in September 2025. The company built its business around contract review and other AI-supported legal workflows, gaining traction in Japan before expanding internationally.

Brazil offers several different examples. MinutaIA reached BRL 100M ARR in August 2026, while Enter reported BRL 50M ARR by December 2025. Jusbrasil, meanwhile, reported approximately 3M paying customers.

Jusbrasil acquired MinutaIA in 2026, extending its presence in AI-assisted legal document production. MinutaIA retains its individual position in our ranking, and we do not add its ARR to a second ranked revenue figure for Jusbrasil.

The businesses also serve different needs. LegalOn emphasizes legal review and analysis, MinutaIA focuses on AI-assisted drafting, and Enter works on litigation processes. Brazil's large legal system creates opportunities for software built specifically around local court procedures and documents.

Are patent AI startups making serious money?

Patent and intellectual-property AI startups are already generating millions in recurring revenue, although their financial scale remains below that of the largest general-purpose legal AI platforms.

MarqVision ranks twenty-second with approximately KRW 30B ARR as of June 2025. The company focuses on intellectual-property protection, including monitoring and enforcement across online marketplaces and digital channels.

Solve Intelligence ranks thirtieth with more than $10M ARR as of December 2025. Its business is more directly focused on patent drafting and related professional workflows.

Other specialized companies have disclosed adoption rather than revenue. DeepIP reported serving more than 400 law firms and corporate IP teams in March 2026, while Patlytics reported adoption by more than 40% of Am Law 100 firms.

These products target expensive, document-heavy work where customers may be willing to pay for specialized accuracy and workflow integration. Still, a customer-count milestone cannot tell us whether a company generates $5M or $50M annually.

The financial evidence is strongest for MarqVision and Solve Intelligence. For the other specialists, customer penetration is easier to establish than revenue scale.

Which legal AI startups have lots of customers but no disclosed revenue?

Jusbrasil, Trellis, Relativity, and several other legal AI startups report substantial commercial or product usage without publishing a comparable absolute revenue figure.

Jusbrasil disclosed approximately 3M paying customers as of August 2026. Trellis reported 3.5M monthly active users, while Relativity reported 242K platform users in June 2026. Orbital reported supporting more than 250K property transactions annually.

These figures describe very different things. Jusbrasil's paying customers represent monetized relationships, while Trellis' monthly active users measure activity. Orbital's transaction count measures the work handled through its platform.

The differences become even sharper among smaller startups. Eve reported more than 1,000 plaintiff law-firm customers, Wordsmith AI more than 500 companies, and DeepIP more than 400 intellectual-property teams. None of these figures can be translated into revenue without knowing what customers actually pay.

Some firms disclose growth rather than absolute size. Summize reported 75% year-over-year ARR growth, LegalFly more than 800% ARR growth, and Moonlit more than tenfold ARR growth. An undisclosed starting base prevents us from calculating current ARR.

The following positions reflect the strongest reported commercial-scale indicators available for these companies. They should not be read as a precise dollar-revenue comparison.

Rank	Startup	Disclosed scale	Metric or period
43	Jusbrasil	3M paying customers	August 2026
44	Trellis	3.5M monthly active users	2026
45	Relativity	242K users	June 2026
46	Orbital	>250K annual transactions	2026
47	Noxtua	>30K users	September 2026
48	Paxton AI	>30K users	Undated
49	Reveal	>4K customers	Undated
50	Spellbook	>5K legal teams	Undated
51	LinkSquares	>1.2K customers	October 2026
52	Eve	>1K law firms	April 2026
53	Legl	>600 law firms	September 2026
54	Wordsmith AI	>500 companies	August 2026
55	DeepIP	>400 IP teams	March 2026
56	Hona	>500 law firms	June 2024
57	Definely	>150 customers	Undated
58	Ivo	>150 legal teams	March 2026
59	PointOne	>200 law firms	August 2026
60	Patlytics	>40% of Am Law 100	April 2026
61	Bench IQ	4 of top 5 Am Law 100	Undated
62	Clearbrief	>3.2M pleadings	Undated
63	Summize	75% YoY ARR growth	August 2026
64	LegalFly	>800% ARR growth	2025
65	Moonlit	>10x ARR growth	Q2 2026

Why aren't Rocket Lawyer, Everlaw, and some other legal AI startups ranked by revenue?

Rocket Lawyer, Everlaw, LawVu, and several other recognizable legal AI companies remain unranked financially because we cannot establish a defensible current revenue figure for them.

That group includes Crosby, Blue J, Alexi, Contractbook, Evisort, vLex, Norm Ai, Laurel, DoNotPay, Flank, Theo AI, and Justpoint. Some are established legal technology businesses, while others are relatively young AI-native vendors.

Everlaw operates an eDiscovery platform, LawVu focuses on corporate legal operations, and Blue J specializes in AI-supported legal and tax analysis. Their products and market presence are clear, but revenue cannot be inferred from product adoption or company visibility.

Acquisitions also complicate financial comparisons. Evisort became part of Workday in October 2024, while vLex was acquired by Clio in 2025. Those businesses remain relevant, but their standalone revenue figures cannot simply be extracted from the financial performance of their acquirers.

We keep important companies visible even when their exact financial size is unknown. Assigning them invented revenue figures would make the ranking less useful.

Are Harvey and Legora overvalued compared with their revenue?

Harvey and Legora command exceptionally high valuations relative to disclosed ARR, reflecting investors' expectations that legal AI spending will continue growing quickly.

Harvey's September 2026 financing valued the company at $15.5B after it had exceeded $400M ARR. Using that disclosed ARR threshold gives an indicative valuation-to-ARR multiple below 38.8 times.

Legora's October 2026 financing valued it at $8.8B against more than $200M ARR, producing a multiple below 44 times. Both calculations represent upper bounds based on minimum disclosed ARR and would be lower if actual ARR was materially above those thresholds.

Clio offers an interesting contrast. Its May 2026 funding announcement associated a $5B valuation with more than $500M ARR, implying a multiple below 10 times on the same basis.

Clio operates a broader, more mature legal software business, while Harvey and Legora have attracted much higher multiples during a period of rapid AI adoption.

For investors to justify those prices over time, Harvey and Legora will need continued revenue growth, strong customer retention, and attractive margins. Their valuations make commercial sense only if their current ARR represents an early stage of much larger businesses.

Neither company can be declared definitively overvalued without better financial information on costs, retention, profitability, and future growth. But expectations are clearly high, and there's not much room for a prolonged slowdown.

Could ChatGPT and other general-purpose AI tools hurt legal AI startup revenue?

General-purpose AI is a serious threat to legal AI startups selling basic drafting or summarization features, while specialized platforms with deeper integrations have stronger reasons for customers to keep paying.

A general AI assistant can already summarize documents, generate drafts, and answer questions. These capabilities overlap with some of the tasks that first attracted customers to legal AI products.

Specialized vendors are responding by expanding their products. Clio combines practice management with legal information and analysis, Harvey offers broader legal AI workflows, and Ironclad integrates AI into contract creation, approvals, and analysis.

These integrations can make switching more difficult. A law firm may be willing to replace a standalone drafting assistant, but moving its documents, permissions, workflows, and connected business systems to another provider is a larger undertaking.

There is also a compliance issue. Thomson Reuters' 2026 survey found that 34% of surveyed law-firm professionals were using AI tools their firms had not authorized. That creates a reason for law firms to buy approved systems with governance and security controls.

Specialist legal AI vendors will still need to prove that their products deliver enough additional value to justify separate subscriptions. Generic features alone are unlikely to support premium prices indefinitely.

Can legal AI startups keep growing this fast?

The largest legal AI startups can continue growing, but adding the next few hundred million dollars in ARR will be considerably harder than reaching their first commercial milestones.

Harvey's more than $400M ARR provides a useful illustration. A 50% increase from a $400M base would require another $200M in annual recurring revenue. For Legora, a 50% increase from $200M would mean an additional $100M. These are illustrative calculations rather than company forecasts.

There are still several ways these companies can grow. Existing law-firm customers can buy more licenses, adopt additional products, or expand deployments across offices. Corporate legal departments and international markets offer other opportunities.

However, Harvey has already reached 80% of Am Law 100 firms. Its next phase of growth will increasingly depend on larger spending per customer rather than simply signing another major American law firm.

Another issue is the changing economics of legal work. Thomson Reuters found that 71% of surveyed in-house legal professionals expected outside firms to change how they charge as AI use increases. If clients demand lower legal fees, software vendors will need to show that their products genuinely improve profitability or deliver better services.

The strongest businesses should still have room to expand. Maintaining today's growth rates across the entire market looks much less likely, especially as general-purpose models become cheaper and larger legal software companies improve their own AI products.

What are the top legal AI startups by revenue today?

LegalZoom is number one in our current legal AI startup revenue ranking, followed by Intapp, Clio, Harvey, Icertis, Legora, Ironclad, Filevine, DISCO, and 8:00 AM.

LegalZoom leads with $756M in 2025 recognized revenue, while Intapp reported $578M for FY2026. Clio follows with more than $500M ARR, and Harvey is the highest-ranked AI-native legal assistant startup at more than $400M ARR.

The ranking reveals two different commercial stories. Established software and legal-services companies have accumulated large revenue bases over many years and are now integrating AI into those businesses. Newer AI-native firms such as Harvey and Legora have built substantial recurring-revenue businesses in only a few years.

Beyond the largest players, there is meaningful commercial activity in contract management, litigation, patents, corporate legal operations, and regional legal markets. Some companies disclose millions in annual revenue, while others report customer adoption or growth without a comparable financial figure.

Legal AI has already produced several hundred-million-dollar businesses. LegalZoom remains the overall revenue leader, Harvey leads the AI-native legal assistant group, and Clio demonstrates how large an integrated legal software and AI business can become.

The next winners will be the companies that turn current AI adoption into durable recurring spending, rather than relying on the excitement surrounding generative AI.