What are the most valuable Legal Tech startups?

Top startups in the legal technology market ranked by valuation

Here is an updated table that ranks the top startups in the legal technology market based on their latest reported or estimated valuations.

If you need to dig deeper and get more detailed data, please check our report covering the legal technology market.

Funding confidence levels were not included in the supplied source data, so they are shown as "Not provided" rather than inferred.

Which legal tech startups are worth the most today?

Harvey is currently the most valuable legal technology startup by a huge margin, at $15.5 billion, with Legora around $9 billion to $11 billion and Clio at $5 billion.

The gap becomes clearer when we turn valuation ranges into midpoints. Harvey and Legora are worth roughly $25.5 billion combined. The next eight companies in the ranking, Clio, Relativity, Filevine, Icertis, Ironclad, Litera, Everlaw and EvenUp, add about $27 billion between them. Two companies therefore carry almost as much value as ranks three through ten combined.

The decline after that is steep. Ontra, ranked eleventh, sits around $1.65 billion at the midpoint of its range. Around rank 25, LegalOn is worth roughly $650 million. Around rank 50, Jus Mundi comes out near $185 million. Most of the bottom 20 companies are below $60 million.

So the 100-company ranking hides how top-heavy legal tech has become. A tiny group sits in a completely different valuation bracket from most of the market.

Rank	Company	Current valuation
1	Harvey	$15.5B
2	Legora	$9.0B–$11.0B
3	Clio	$5.0B
4	Relativity	$3.5B–$4.5B
5	Filevine	$3.2B–$4.1B
6	Icertis	$3.0B–$4.0B
7	Ironclad	$3.0B–$3.8B
8	Litera	$2.5B–$3.8B
9	Everlaw	$1.8B–$2.8B
10	EvenUp	$2.0B+

How far ahead is Harvey in legal AI right now?

Harvey has opened a clear lead in legal AI: its $15.5 billion valuation is roughly 55% above the midpoint of Legora's current range and more than three times Clio's $5 billion valuation.

The speed of Harvey's repricing is unusual even by AI standards. Harvey was valued at $8 billion in late 2025, raised $200 million at $11 billion a few months later, and then closed another $550 million round at $15.5 billion. Its valuation almost doubled from the $8 billion round in less than a year.

The business underneath that valuation has also become much larger. Harvey says 80% of the Am Law 100 now use the platform, alongside five Fortune 10 companies. Earlier this year, when Harvey was worth $11 billion, the company said more than 100,000 lawyers across roughly 1,300 organizations were using it.

Its product usage has been rising quickly too. The Wall Street Journal reported that monthly token consumption on Harvey grew from roughly 1 trillion in January to 14.5 trillion by June. That is a useful sign because actual usage is expanding far faster than a simple customer-logo count would suggest.

Harvey's valuation still demands very aggressive future growth. Among legal AI companies today, though, it has the strongest combination of elite-law-firm penetration, usage growth, capital backing and repeated upward valuation resets.

Is Legora actually catching Harvey?

Legora is catching Harvey faster than any other legal AI startup, although Harvey still has a substantial valuation lead today.

Legora raised $550 million at a $5.55 billion valuation in March, after being valued at $1.8 billion only months earlier. That alone meant its valuation had roughly tripled. The round was later extended, bringing Series D financing to about $600 million.

The business then kept growing. The Financial Times reported that Legora reached roughly $150 million in annual recurring revenue during the second quarter, up around 50% during that quarter alone, while its customer base reached approximately 1,500 organizations.

Investors subsequently entered discussions around another financing at more than $10 billion. If a deal closes near that level, Legora will have moved from $1.8 billion to roughly $10 billion in less than a year.

Harvey still has the stronger valuation anchor because its $15.5 billion financing is completed, while Legora's newest $9 billion to $11 billion range depends partly on an active fundraising process. Even so, the distance between the two companies has become much smaller than it was recently.

Legal AI now looks increasingly like a two-company race at the very top rather than Harvey standing alone.

How many legal tech unicorns are there now?

At least 14 companies in our legal technology ranking are clearly worth $1 billion or more today, while as many as 21 reach the billion-dollar mark if we include companies whose valuation ranges cross $1 billion.

The conservative group contains Harvey, Legora, Clio, Relativity, Filevine, Icertis, Ironclad, Litera, Everlaw, EvenUp, Ontra, Onit, vLex and Eve. Each has either a fixed billion-dollar valuation or a valuation range whose lower end is already $1 billion.

Seven more sit around the threshold: Exterro, Sirion, Reveal, ContractPodAi, LinkSquares, Luminance and Genie AI.

That gives legal tech a surprisingly large unicorn population. The label tells us much less than it once did, though. A $1 billion company is now worth only around one-fifteenth of Harvey.

The more useful dividing line today is closer to $3 billion. Only eight companies in our dataset reach that level at the top of their range, and only a handful have solid evidence supporting valuations above it.

Is legal tech basically an AI market now?

AI currently drives the most aggressive funding and valuation growth in legal technology, even though large parts of the market still come from older software categories.

Crunchbase estimates that legal and legal-tech startups attracted more than $7 billion over the past two years. Funding reached roughly $4.6 billion last year, and more than $2.2 billion had already been invested this year before Harvey's latest $550 million round.

Look at where the highest valuations are moving and the AI effect becomes even clearer. Harvey and Legora occupy the top two positions. EvenUp is above $2 billion. Eve has crossed $1 billion. Newer AI companies including Genie AI, Luminance, Supio, Ivo, Wordsmith, Solve Intelligence, DeepJudge and Patlytics have already reached valuations ranging from several hundred million dollars to around $1 billion.

The older software businesses remain important. Clio, Relativity, Filevine, Icertis, Ironclad and Litera are all among the ten most valuable companies in our dataset.

What has changed is the ceiling investors are willing to imagine. Traditional legal software built several multibillion-dollar companies over many years. Harvey and Legora have reached much higher valuations in only a few years because investors expect AI platforms to capture a larger share of the actual work lawyers perform.

Why are Harvey and Legora worth so much more than most legal software companies?

Harvey and Legora command much higher valuations because investors currently see them as possible operating platforms for legal work rather than tools for one narrow legal task.

Traditional legal software often owns a clearly defined workflow: billing, practice management, discovery, research, case management or contracts. Harvey and Legora are trying to span research, drafting, document analysis, due diligence, internal knowledge, workflow automation and increasingly agent-driven work.

That gives them a much larger potential revenue base per customer. A law firm might buy one specialist application for eDiscovery and another for billing, while a broad AI workspace can potentially touch the daily work of lawyers across many practice groups.

The adoption data makes that ambition easier to believe than it was two years ago. Thomson Reuters now finds generative AI usage at 41% of law firms and 47% of corporate legal departments, up from 28% and 23% respectively the year before.

Demand is also moving beyond experimentation. Harvey says 80% of the Am Law 100 use its platform. Legora has reached around 1,500 customers. Both companies are increasingly selling into major firms and corporate legal departments rather than relying mainly on innovation teams running pilots.

Investors are paying for the possibility that legal AI becomes part of everyday professional infrastructure. If that happens, the revenue ceiling can be much higher than for a single-purpose legal SaaS product.

Is Clio still one of the biggest legal tech companies?

Clio remains one of the biggest and strongest legal technology companies today, even after Harvey and Legora moved past it in valuation.

Clio's valuation rose from $1.6 billion in 2021 to $3 billion in 2024 and then $5 billion after a $500 million Series G. That is much slower than Harvey's recent climb, although Clio has built a far more mature business over nearly two decades.

The company also made the largest acquisition in legal tech when it bought vLex for $1 billion. That deal brought legal research, a large global legal-data base and AI capabilities into a company already strong in practice management, payments and law-firm operations.

Clio had already surpassed $200 million in annual recurring revenue around its earlier $3 billion funding round and had reached profitability on an EBITDA basis, according to the company. This gives Clio a more established financial base than many newer AI startups.

Clio's position is especially interesting because it can distribute AI into an installed workflow rather than convincing law firms to replace everything at once. Its biggest challenge is speed: Harvey and Legora are growing quickly enough that the valuation market has already put them several billion dollars ahead.

Are contract-management startups still worth billions?

Contract technology remains one of the deepest billion-dollar areas in legal tech, with Icertis, Ironclad and Litera each valued around $3 billion or more.

Icertis sits around $3 billion to $4 billion in our estimate. Ironclad is around $3 billion to $3.8 billion. Litera, whose broader product portfolio also covers drafting and document workflows, falls around $2.5 billion to $3.8 billion.

Below that group, Sirion is roughly $900 million to $1.1 billion, ContractPodAi around $700 million to $1.1 billion, LinkSquares and Luminance up to roughly $1 billion, and LegalOn around $500 million to $800 million.

The category works because contracts create huge quantities of repetitive, expensive work. Companies need to draft them, negotiate them, approve them, store them, search them and track obligations inside them. AI can attack several of those steps.

Competition has also become intense. Dedicated CLM companies now compete with broad legal-AI platforms, Microsoft products, enterprise software vendors and general-purpose AI systems. That makes the category commercially attractive while putting pressure on the weakest standalone products.

The valuations show a deep market with several large companies rather than one winner taking most of the value.

Company	Main focus	Current valuation
Icertis	Enterprise contract lifecycle management	$3.0B–$4.0B
Ironclad	AI-powered contract lifecycle management	$3.0B–$3.8B
Litera	Drafting and legal workflow software	$2.5B–$3.8B
Sirion	AI-native contract lifecycle management	$900M–$1.1B
ContractPodAi	Contracting and legal AI	$700M–$1.1B
LinkSquares	AI contract lifecycle management	$700M–$1.0B
Luminance	Contract review and negotiation	$700M–$1.0B
Genie AI	Contract drafting and review	$650M–$1.0B
Spellbook	Contract drafting and review	$600M–$800M
LegalOn	Contract workflow AI	$500M–$800M
SpotDraft	Contract lifecycle management	$380M
Juro	AI contract lifecycle management	$120M–$180M

Why are plaintiff-law AI startups getting so valuable?

Plaintiff-law AI has become one of legal tech's strongest specialist categories because better software can affect the economics of a case much more directly than generic productivity software.

EvenUp is the largest example. The company raised $150 million at a valuation above $2 billion in late 2025, bringing cumulative funding to $385 million. According to EvenUp, that valuation had more than doubled in less than a year.

Eve then raised $103 million at a valuation above $1 billion. Supio sits lower in our ranking, around $700 million to $950 million.

These companies automate work around medical records, case preparation, demand letters, damages, client communication and settlement strategy. For a plaintiff firm, getting through cases faster or identifying more value inside each case can translate directly into revenue.

That is a very different buying argument from saving a lawyer ten minutes on an email. The product can potentially help the firm handle more cases, move them faster and recover more money.

The category is still relatively concentrated, but three companies reaching roughly $700 million or more shows that plaintiff-side AI has moved well beyond a niche experiment.

Is eDiscovery still one of the biggest legal tech markets?

eDiscovery is still one of legal tech's largest established software markets, although its leading valuations now sit well below the biggest legal AI companies.

Relativity is worth an estimated $3.5 billion to $4.5 billion in our ranking. Everlaw falls around $1.8 billion to $2.8 billion, Reveal around $800 million to $1.2 billion, while publicly traded DISCO has a much smaller market capitalization.

Relativity's midpoint of roughly $4 billion still makes it the fourth-most valuable company in our dataset. That is substantial scale for a specialist legal-software business.

Harvey now stands at almost four times that midpoint. Legora is worth roughly two and a half times as much. The gap shows where investors currently see the bigger future market.

eDiscovery remains essential because litigation keeps producing enormous quantities of email, documents and other data. AI should improve those workflows further. Discovery covers one part of legal work, while the new AI platforms are trying to sit across many different tasks and practice areas.

That broader potential market has changed the valuation hierarchy.

Which legal tech startups have increased their valuations the fastest?

Harvey, Legora and SpotDraft are three of the clearest examples of legal tech valuations jumping dramatically within short periods.

Harvey went from $8 billion in late 2025 to $11 billion a few months later and then $15.5 billion. The total increase from $8 billion is almost 94%.

Legora moved even faster from a smaller starting point. Its valuation reached $1.8 billion in late 2025 and $5.55 billion in March. More recent fundraising discussions have centered on a figure above $10 billion.

SpotDraft shows that this repricing is happening further down the market too. TechCrunch reported that Qualcomm Ventures invested $8 million in early 2026 at a valuation around $380 million, almost double SpotDraft's roughly $190 million post-money valuation from its previous Series B.

Those three cases cover very different scales, yet they share the same pattern: investors have been willing to reset valuations after only a few months when customer growth and AI adoption move quickly enough.

We should still be careful with active fundraising figures. A signed financing at $15.5 billion carries much more weight than a company discussing a possible $10 billion round. Even after that distinction, the pace of upward repricing in leading legal AI companies has been exceptional.

Company	Earlier valuation	Newer valuation	Approximate change
Harvey	$8.0B	$15.5B	+94%
Legora	$1.8B	$5.55B completed	+208%
Legora	$5.55B	>$10B discussed	~+80% if completed near $10B
SpotDraft	~$190M	~$380M	~+100%
EvenUp	<~$1B implied previously	$2B+	More than doubled, according to company
Clio	$3.0B	$5.0B	+67%
Eve	Earlier-stage private valuation	$1B+	Reached unicorn status

Does raising more money usually mean a higher legal tech valuation?

More funding generally helps companies reach scale, but total capital raised does a poor job of predicting where a legal tech company ranks by valuation.

Harvey has raised well over $1 billion and is worth $15.5 billion. Legora has raised more than $800 million and is now estimated around $9 billion to $11 billion. Clio has raised much more capital over its longer history and is worth $5 billion.

Other comparisons are even more revealing. Ironclad has raised roughly $333 million and sits around a $3.4 billion midpoint valuation. Everlaw has raised around $315 million and sits near $2.3 billion. EvenUp has raised $385 million and is worth more than $2 billion.

The ratios spread widely because fundraising measures cash put into a company, while valuation reflects what investors think the remaining equity can ultimately become.

Age matters too. Mature companies may have accumulated much more financing over a decade. A fast-growing AI startup can reach a high valuation after fewer rounds because investors are pricing extremely rapid revenue growth ahead of it.

Funding remains useful context, especially when a company has raised enough capital to support aggressive expansion. It cannot substitute for revenue growth, customer traction or a recent priced round.

How concentrated are legal tech startup valuations?

Legal tech valuations are extremely concentrated: roughly 83% of the combined value of the top 20 companies sits in the first ten.

Using the midpoint of every valuation range, the top ten are worth about $52.5 billion combined. Companies ranked 11 through 20 add only around $10.45 billion.

Harvey and Legora alone account for approximately $25.5 billion, or about 40% of the entire top-20 total.

The drop continues quickly. The midpoint valuation at rank 20 is around $850 million. Around rank 50 it falls to roughly $185 million. Around rank 75 it is about $55 million.

This concentration tells us more than the unicorn count. Legal tech can support many venture-backed companies, but investors currently believe only a small number can become enormous platforms.

Group	Approximate combined valuation
Harvey	$15.5B
Harvey + Legora	$25.5B
Top 3	$30.5B
Top 5	$38.15B
Top 10	$52.5B
Ranks 11–20	$10.45B
Top 20	$62.95B
Harvey + Legora share of top 20	~40%
Top 10 share of top 20	~83%

Are European legal AI startups catching the US?

Europe now has one genuinely world-scale legal AI company in Legora and a growing group of well-funded challengers, although the US still has more companies near the very top.

Sweden's Legora changes the picture almost by itself. At roughly $9 billion to $11 billion in our current estimate, it is larger than every US legal-tech company in the ranking except Harvey.

The next European group is much smaller. UK-based Luminance sits around $700 million to $1 billion. Genie AI reaches roughly the same upper bound. Lawhive is valued around $685 million. Wordsmith, Definely and Robin AI sit further down.

Europe is producing more companies too. Tech.eu recorded €504 million of legal-tech funding across 34 rounds in 2025, covering 31 companies. The ten largest rounds accounted for 92.6% of disclosed capital, which shows how concentrated European funding has become.

Sweden led Europe by capital raised, largely because of Legora. The UK has created more depth across contracts, law-firm AI and legal services.

Europe is clearly relevant at the high end of legal AI now. Legora has already closed much of the transatlantic valuation gap, while the broader European field still has far fewer multibillion-dollar companies than the US.

Does real AI adoption justify the legal tech funding boom?

Legal AI adoption is now broad enough to support a real, large software market, although firms are still struggling to turn all of that usage into measurable financial returns.

Thomson Reuters reports that 41% of law firms and 47% of corporate legal departments currently use generative AI, up from 28% and 23% the year before. That is a large one-year shift.

Clio finds even higher usage among smaller practices. Its 2026 research says 71% of solo lawyers and 75% of small firms use AI for legal work. Adoption rises to 86% among midsize firms.

There is still a gap between using AI and making more money from it. Fewer than one-third of solo and small firms in Clio's study reported increased revenue from AI, compared with almost 60% of enterprise firms.

Clients are pushing in the same direction. Thomson Reuters found that 77% consider AI-enabled quality improvements very important or essential, while only about 5% believe most or all of their providers are delivering them. Seventy-one percent of in-house legal professionals expect outside firms to change how they charge as AI spreads, yet only 28% of firms say they have adjusted pricing.

That combination explains why the market can be both genuinely large and aggressively valued. Lawyers are clearly using AI today. The remaining uncertainty is how much of the resulting productivity turns into durable software revenue.

Can OpenAI and other general AI companies hurt Harvey and legal AI startups?

OpenAI and other foundation-model companies can now compete directly with parts of legal AI, so specialist startups need much more than a polished interface around someone else's model.

The competitive pressure has become much more concrete lately. OpenAI now offers Astra for Law, a version of its professional AI system built around a dedicated US legal search index. It can research legal questions, work through arguments and deal terms, and search case law, statutes, regulations, court rules and administrative decisions.

That moves a foundation-model provider into work that specialist legal-AI companies already sell.

The strongest legal-tech companies have responded by going deeper into workflow. Harvey connects firm knowledge, custom agents and legal engineering. Legora combines drafting, research and collaboration inside one workspace. EvenUp owns plaintiff-specific case workflows. Clio sits inside day-to-day law-firm operations. Relativity controls important discovery workflows.

OpenAI itself is also working with the legal-tech ecosystem. Astra for Law supports partner integrations, including tools that can bring systems such as iManage and DeepJudge into the same environment.

The threat is strongest for products whose main advantage is access to a capable model. Companies with proprietary legal data, deeply embedded workflows, customer relationships and distribution have more ways to remain useful as the base models improve.

Could cheaper and better AI models hurt legal tech valuations?

Cheaper and more capable AI models could compress valuations for shallow legal-AI products while improving the economics of companies that own valuable workflows.

Model improvements keep making drafting, summarization, extraction and research easier to reproduce. A startup that mainly packages those functions around a third-party model may see its technical advantage disappear quickly.

The economics can work in the other direction for a company with strong distribution. Falling inference costs mean Harvey, Legora, EvenUp or another platform can process more work for customers without increasing compute spending at the same rate. Better underlying models can also make the product more useful without the legal-tech company funding the full cost of frontier-model research.

That helps explain why the largest companies keep broadening their products. Harvey is pushing custom agents and firm knowledge. Legora is expanding across legal workflows. EvenUp keeps adding functions across the plaintiff case lifecycle. Clio is combining operational software with legal data and AI.

The market will probably become harsher for single-feature tools as models improve. Strong workflow businesses can benefit from the same technological progress.

Are today's legal tech valuations getting ahead of the actual businesses?

Some legal AI valuations are already far ahead of current revenue, especially at the top of the ranking, which means investors are pricing several years of exceptional growth into today's numbers.

Legora gives us one of the clearest comparisons. The Financial Times reported annual recurring revenue of roughly $150 million while investors were discussing a valuation above $10 billion. A $10 billion valuation would equal about 67 times that ARR figure.

Harvey's valuation has risen from $8 billion to $15.5 billion in less than a year. Its customer base and usage have risen sharply at the same time, so the increase has real operating evidence behind it. Even then, a $15.5 billion private valuation requires Harvey to grow into a very large software company.

The rest of the ranking shows how unusual these multiples are. Established companies such as Clio, Relativity, Icertis and Ironclad have had years to develop distribution, customer relationships and recurring revenue, yet all remain worth much less than Harvey and Legora.

Smaller AI companies face the same issue on a different scale. Investors have already assigned valuations of several hundred million dollars to companies that are still early in their commercial development because they want exposure before a category consolidates.

That does not make the entire legal-tech market a bubble. Adoption, funding and customer demand are all very real. It does mean the most aggressive AI valuations depend heavily on future growth that has not happened yet.

Which legal tech startups really lead the market today?

Harvey clearly leads legal technology by valuation today, Legora is the closest challenger, and Clio remains the strongest large established platform behind the two AI leaders.

The numbers make the hierarchy unusually clear. Harvey stands at $15.5 billion. Legora is roughly $9 billion to $11 billion based on its current fundraising trajectory. Clio is at $5 billion. No other company in our ranking has a midpoint above $4 billion.

Harvey and Legora alone represent about 40% of the combined valuation of the top 20 companies. The top ten account for roughly 83%. This market may contain 100 names in our ranking, yet most of its value is concentrated in a small group.

The hierarchy changed quickly because legal AI adoption has moved into normal professional use, major law firms are deploying these tools broadly, and investors now believe a few platforms could sit across a large share of legal work.

The gap between adoption and proven economics still matters. Clio's research shows that many smaller firms use AI without seeing higher revenue, while Thomson Reuters finds that most organizations still struggle to measure AI ROI properly. Foundation-model companies are also moving deeper into legal work, which raises the bar for every specialist startup.

For now, the legal-tech valuation boom looks real but highly selective. Harvey has built the clearest lead, Legora has moved into the same top tier extraordinarily quickly, and Clio still has a scale and distribution base that most AI startups lack. Beneath those three, valuations fall fast. That concentration is probably the most important fact in the entire ranking.