Legal AI funding tracker (208 deals)

Our funding tracker covering the legal AI market

Below is the table listing all the deals. You may find our methodology at the end of this page.

And, if you want to gain a deeper understanding of the market and its current dynamics, get our report covering the legal AI market.

Is legal AI really attracting billions of dollars in funding?

Legal AI is now a multibillion-dollar funding market, with $5.48 billion raised across 208 financings, although a surprisingly small number of deals account for most of that money.

We tracked 155 companies that secured funding between January 2024 and September 2026. The average financing was $26.33 million, but the median was only $5.6 million. That gap tells us how much the biggest rounds influence the market's headline numbers.

Once we exclude financings above $50 million, the recorded total drops to $1.78 billion. Just 24 transactions account for more than two-thirds of all capital.

The underlying market is still active. It has produced hundreds of financings, with a steady flow of smaller investments. But the billions reported at the industry level are heavily influenced by a few companies raising enormous amounts of money.

And that's especially important today, as the largest legal AI platforms are increasingly raising capital to expand internationally, develop their own technology and compete for enterprise customers.

How many legal AI startups are actually getting funded?

We identified 155 funded legal AI companies, but nearly eight out of ten appeared only once in our financing records.

Among those companies, 121 completed one financing during the period. Another 24 raised twice, while ten recorded at least three rounds.

The figures suggest a broad market for early investment but a much smaller group of businesses attracting capital repeatedly.

Company formation is also relatively recent. Among startups with known founding years, the largest group was founded in 2023, with 36 companies, followed by 2024 with 27.

Together, these two founding cohorts account for 46% of companies whose founding dates we could establish.

Many of today's funded legal AI startups were therefore created during the generative AI boom. Their presence helps explain why seed financing remains common, even as the biggest companies are already completing rounds worth hundreds of millions of dollars.

Who's actually getting most of the legal AI money?

Harvey and Legora are receiving vastly more legal AI funding than their competitors, with $2.53 billion raised between them during our observation period.

Harvey recorded $1.67 billion across seven financings, followed by Legora with $865.5 million across six.

Further down the ranking, EvenUp raised $285 million, Noxtua approximately $208.6 million, and Eve $150 million.

The gap becomes even clearer when we look at the entire company population. The ten most heavily funded startups captured 68.4% of recorded capital. Meanwhile, 76 companies, almost half the market, raised $5 million or less in total during the period.

Only 21 companies crossed $50 million in cumulative recorded funding.

So while legal AI looks extremely well financed from the outside, most founders are still competing for relatively modest investments.

Rank	Company	Recorded financings	Capital raised during period
1	Harvey	7	$1,668.5M
2	Legora	6	$865.5M
3	EvenUp	2	$285.0M
4	Noxtua	2	~$208.6M
5	Eve	2	$150.0M
6	Enter	2	≥$135.0M
7	Norm Ai	1	$120.0M
8	Luminance	2	$115.0M
9	Wordsmith	4	$114.0M
10	Supio	2	$85.0M

Is Harvey becoming too big for the rest of the legal AI market?

Harvey currently sits in a financial league of its own, with approximately $1.67 billion in recorded financing and a $15.5 billion valuation announced in September 2026.

Its latest $550 million round was co-led by Diffusion and Lightspeed Venture Partners, with participation from investors including Sequoia, Andreessen Horowitz, Coatue and Goldman Sachs Alternatives.

The September 9 announcement also contained an important commercial detail: Harvey reported that 80% of Am Law 100 law firms were using its platform, alongside five Fortune 10 companies.

Harvey had also introduced its first post-trained open-weight model and Harvey LAB, a benchmark designed to evaluate legal AI agents. The company is increasingly investing in its own technical capabilities rather than relying exclusively on external models and a conventional software interface.

Legora is the closest comparable funding story. Its March 2026 Series D brought in $550 million at a $5.55 billion valuation, following customer wins involving White & Case, Cleary Gottlieb and Goodwin.

Yet the difference between these two leaders and the rest of the industry is enormous. Harvey alone attracted roughly six times the period funding of EvenUp, the third-largest company in our ranking.

A single Harvey financing can change the industry's monthly funding total more than dozens of smaller startup rounds combined. That's how influential one company has become in the financial picture of legal AI.

What can a normal legal AI startup expect to raise today?

A typical legal AI startup is raising single-digit millions, with a median financing of $5.6 million across the market and just $2.32 million for first financings.

The size of the round changes considerably as companies mature. For follow-on financings, the median rises to $14 million.

We found that 92 of the 208 deals were below $5 million, and another 62 were between $5 million and $20 million. These two groups represent nearly three-quarters of all financing events.

At the other end, only 14 rounds reached at least $100 million. Those transactions captured approximately $3.04 billion.

These numbers give founders a much more useful benchmark than the overall average.

A new company developing a legal research or drafting tool is operating in a funding environment where relatively small seed checks are common. Companies such as Harvey and Legora, which have secured major enterprise customers and completed successive financings, operate under completely different expectations.

For most startups, a financing between $2 million and $10 million is far more representative of the deals we studied than the nine-figure announcements dominating legal AI news.

Financing size	Deals	Share of deals	Capital raised	Share of capital
Under $5M	92	44.2%	$227.1M	4.1%
$5M to under $20M	62	29.8%	$593.2M	10.8%
$20M to under $50M	26	12.5%	$756.3M	13.8%
$50M to under $100M	14	6.7%	$864.1M	15.8%
$100M+	14	6.7%	$3,035.0M	55.4%
All financings	208	100%	$5,475.7M	100%

Which types of legal AI startups are investors backing the most?

Legal workflow automation is currently attracting the biggest investments, with $3.19 billion raised across 62 financings, far ahead of every other legal AI category.

This category includes platforms that help lawyers handle several parts of their work, from research and document analysis to drafting, reviewing agreements and managing complex legal tasks.

Harvey and Legora dominate the segment, accounting for approximately 79% of its capital.

Litigation & Case Intelligence ranks second with $783.8 million, followed by Contract Review & Management at $550.5 million and Legal Research AI at $474 million.

The difference between categories becomes more interesting when we compare the money raised with the number of deals.

Workflow automation represents 29.8% of transactions but captures 58.3% of capital. Its average financing reaches $51.5 million, almost twice the market average.

Litigation intelligence, contract review, legal research and drafting all attract smaller average checks.

The largest investment commitments are going to broad platforms capable of serving multiple legal workflows, rather than businesses concentrating on one specific task. At least for now, that's where the biggest checks are being written.

Legal AI category	Companies	Deals	Total financing	Share of capital
Legal Workflow Automation	39	62	$3,193.3M	58.3%
Litigation & Case Intelligence	27	38	$783.8M	14.3%
Contract Review & Management	26	34	$550.5M	10.1%
Legal Research AI	25	32	$474.0M	8.7%
Legal Drafting AI	21	24	$278.5M	5.1%
Due Diligence & Transaction Review	8	8	$84.7M	1.5%
Legal Knowledge Management	2	3	$59.0M	1.1%
E-Discovery & Document Review	7	7	$52.1M	1.0%

Why are investors spending so much on general-purpose legal AI platforms?

Investors are making their largest legal AI bets on platforms that can become central to how law firms and legal departments operate, because those businesses have opportunities to sell across many different workflows.

Legora's $550 million Series D is a good example.

According to the company's March 2026 announcement, the financing was intended to accelerate expansion across the United States. Legora highlighted relationships with several major law firms, including White & Case and Goodwin.

Harvey is pursuing a similarly broad ambition, with additional investment in proprietary models, enterprise deployment and global expansion.

These companies need to support complex legal research, document handling, drafting and other tasks within the same platform. Winning large customers also involves security requirements, integrations, technical support and dedicated enterprise sales teams.

There is growing evidence that legal customers want more connected tools.

In Thomson Reuters' 2026 AI in Professional Services Report, organizational generative AI adoption reached 40%, up from 22% the previous year. Among existing users, more than 80% reported using generative AI at least weekly.

Meanwhile, the company's CoCounsel platform is combining research, drafting and document analysis with established legal content and third-party integrations.

Investors appear willing to finance the race to become a widely used legal platform, particularly when companies can demonstrate adoption among large law firms and corporate legal departments.

That explains much of the enthusiasm behind these unusually large checks. Whether the eventual financial returns justify the spending remains an open question.

Is litigation AI getting serious funding too?

Litigation AI has become a substantial funding category, with $783.8 million raised across 27 companies, and the money is spread more widely than in general legal workflow automation.

EvenUp is one of its largest companies, with $285 million of recorded financing. Its products focus on personal-injury work, where lawyers handle large amounts of medical evidence, case documentation and settlement-related analysis.

Supio is another example. In April 2025, the company announced a $60 million Series B led by Sapphire Ventures, with Mayfield and Thomson Reuters Ventures participating. Supio develops AI tools for personal-injury and mass-tort law firms, including analysis of medical records and case evidence.

Smaller companies are entering adjacent areas. Advocacy AI raised $3.5 million in March 2026 to develop a litigation workspace that keeps evidence, legal research and case strategy connected. &AI, which raised $6.5 million in February 2025, focuses on patent-related research and litigation analysis.

These products address different parts of litigation, yet they share a commercial advantage: customers can often connect the software to specific work they need to complete.

The category also has meaningful repeat funding, with 21 follow-on deals compared with 17 first financings.

Litigation AI is already developing beyond a market supported primarily by seed funding. Several specialized businesses are now attracting institutional checks, even if their financing remains considerably smaller than that of general-purpose platforms.

Is contract review AI already a more mature market?

Contract Review & Management is one of the more mature parts of legal AI, with companies reaching a median age of five years when they raise money, compared with two years across the wider industry.

Our research identified 34 contract-review financings involving 26 companies. Only four were classified as first financings, while 30 were follow-ons.

That is a striking difference from younger categories such as legal research and litigation intelligence.

Luminance illustrates what established businesses can achieve here. In February 2025, the company raised $75 million in a Series C led by Point72 Private Investments.

At the time, Luminance said its technology was used by more than 700 organizations across over 70 countries, including major corporate customers such as AMD, Hitachi and Rolls-Royce.

The business also extends well beyond a basic contract-review tool, covering contract generation, negotiation and post-signature analysis.

That progression makes sense for a category that existed before the generative AI boom. Companies were already selling contract management and automation software to enterprises, and recent AI developments have expanded what those products can do.

Contract review startups still receive smaller rounds than the biggest legal workflow platforms. But the high proportion of follow-on financing suggests that investors are backing an established population of companies rather than relying mainly on new entrants.

Are investors ignoring some legal AI categories?

Several legal AI specialties are receiving remarkably little standalone funding, especially due diligence, legal knowledge management and e-discovery.

Due Diligence & Transaction Review attracted $84.7 million across eight companies. Orbital's $60 million financing accounts for roughly 71% of that amount.

Legal Knowledge Management recorded just three deals involving two businesses, totaling $59 million.

E-Discovery & Document Review received $52.1 million across seven companies, with Syllo's $30 million round responsible for more than half the category's capital.

The smaller company populations make these categories particularly sensitive to a single financing.

There is also a practical explanation for some of the limited standalone activity.

Legal knowledge management, for example, is increasingly being integrated into broader products. In October 2025, Thomson Reuters announced a partnership with DeepJudge to connect law firms' internal knowledge with CoCounsel Legal.

By June 2026, the integration was available to joint subscribers, allowing lawyers to bring internal documents directly into workflows using Westlaw and Practical Law.

This makes category boundaries increasingly difficult to separate commercially. A feature that once supported a standalone startup might now sit inside a much larger platform.

The funding figures show limited independent financing depth in these specialties. They don't mean lawyers have stopped needing due diligence, knowledge retrieval or e-discovery tools. Some of that demand may simply be absorbed by broader products.

How old are legal AI startups when they raise serious money?

Legal AI companies are raising money unusually quickly, with a median age of two years at financing and several leading startups reaching large growth rounds within only a few years of being founded.

We calculated company age using the financing year minus the founding year for 179 deals with reliable information.

Seed-stage companies had a median age of 1.5 years. That increased to 3.5 years at Series A and five years at Series B.

Interestingly, the median age falls back to three years for both Series C and Series D+.

The explanation lies in the small group of exceptionally fast-growing companies at the upper end.

Harvey, founded in 2022, had already completed multiple major funding rounds by 2026. Legora, initially operating under the name Leya, progressed through successive large rounds within a similarly compressed period.

These companies are advancing through financing stages much faster than the traditional timeline associated with enterprise software.

There is another useful comparison. Companies raising more than $50 million had a median age of about 3.5 years, against two years for businesses raising under $5 million.

Investors are clearly willing to write large checks to relatively young legal AI companies when their growth and commercial prospects justify them.

But Harvey's and Legora's fundraising pace shouldn't be mistaken for a normal path. Their speed is exceptional even within this unusually young market.

Why are so few legal AI startups reaching Series C?

Series C is currently the narrowest visible part of the legal AI funding ladder, with only six transactions compared with 27 Series B financings.

The contrast is substantial.

We recorded 108 Seed rounds, 42 Series A financings and 27 Series B transactions. Beyond that point, the conventional stage distribution becomes much thinner.

The median round also increases sharply. Series B financings have a median of $40 million, while the median Series C reaches $108.5 million.

Investors are making much larger commitments to companies that reach these stages, but there are very few such transactions.

The Series D+ population is even more concentrated: eight financings involve only three distinct companies.

One important detail is that Harvey's September 2026 $550 million financing has no conventional Series designation in its company announcement. We retain it under Unknown rather than forcing it into a later-stage category.

There are also limits to what we can conclude from a single financing window. Companies that raised Seed or Series A money recently may not yet be ready for later rounds.

Still, the gap is hard to miss. Legal AI supports a broad population of early-stage startups, while companies raising conventional Series C and later rounds remain uncommon.

Funding stage	Deals	Companies	Capital raised	Median financing
Seed	108	97	$397.5M	$3.0M
Series A	42	42	$749.3M	$15.6M
Series B	27	24	$1,212.5M	$40.0M
Series C	6	6	$570.0M	$108.5M
Series D+	8	3	$1,703.5M	$155.0M
Growth Equity	6	6	$258.2M	$11.5M
Unknown	11	11	$584.7M	$3.2M

Does raising a second round make a huge difference in legal AI?

Legal AI funding changes dramatically once companies start raising follow-on rounds, with previously financed businesses receiving almost 95% of the capital in our dataset.

We identified 78 first financings totaling $288.6 million, compared with 129 follow-on rounds totaling approximately $5.19 billion.

The median follow-on was $14 million, six times the $2.32 million median first financing.

As we saw earlier, only a minority of companies raised multiple times within our observation period. Yet those repeat-funded businesses accounted for the overwhelming majority of capital.

Wordsmith provides an example outside the two largest companies, with four recorded financings totaling $114 million. EvenUp and Luminance also attracted large follow-on investments, though their business models and funding histories differ.

There is a commercial reality behind this pattern.

Early investors are often financing a product, founding team and initial customer opportunity. At later stages, companies are expected to demonstrate more evidence of adoption, growth and the ability to sell their software repeatedly.

Follow-on funding is therefore a useful marker of investor commitment, although it doesn't directly measure profitability or customer retention.

For founders, the financing challenge becomes much more demanding after the initial rounds. The largest amounts of available capital are going to businesses that investors have already backed.

Is legal AI funding mostly happening in the United States?

North America currently leads legal AI fundraising, with $3.17 billion invested, but Europe has also become a major market, attracting more than $2 billion.

North America accounts for 99 financings across 72 companies. Europe follows with 81 deals involving 59 companies.

The United States represents approximately 56% of all recorded capital. Sweden ranks second among individual countries, at 16.3%, largely because of Legora.

The United Kingdom accounts for around 11.4%, with funding spread across a wider group of businesses.

Outside North America and Europe, financing is much thinner.

Asia-Pacific has 18 recorded deals totaling $106.5 million. Latin America attracted $164.6 million from just seven financings, helped considerably by Enter's large investments.

The Middle East appears only three times in our database, with $3.6 million raised.

One interesting detail is that Europe's median financing is $7 million, slightly higher than North America's $6 million, despite the United States having a much larger share of total capital.

Both regions have an active market for smaller investments. North America's lead becomes much more pronounced when we look at the largest financing transactions.

Which venture capital firms are backing legal AI again and again?

Index Ventures and GV are the most frequent recurring lead investors in our legal AI data, while Lightspeed, Sequoia and Andreessen Horowitz stand out through their involvement in larger financings.

We identified 184 distinct disclosed lead-investor names, although only 23 appeared on multiple deals.

Index Ventures and GV each led or co-led four transactions. Sequoia Capital, Andreessen Horowitz, Lightspeed Venture Partners and Acton Capital each appeared three times.

There is a large difference between leading several smaller rounds and participating in major growth financings.

Lightspeed's three leadership appearances correspond to $602 million in combined round value. Sequoia's three represent $345 million, and Andreessen Horowitz's three represent $217.5 million.

Index Ventures, by comparison, appears across four financings totaling $120 million, involving drafting and workflow companies from Seed through Series B.

We also found recurring leadership from firms such as Bessemer Venture Partners, Khosla Ventures, General Catalyst, Sapphire Ventures and Spark Capital.

The broader picture is quite fragmented. A substantial number of investors have led only one recorded legal AI financing, while a smaller recurring group helps fund companies across multiple stages.

These figures measure the total value of rounds associated with each lead investor. They do not represent the exact amounts invested by those firms individually.

Are big legal technology companies investing in legal AI startups too?

Corporate investors are now an established part of legal AI fundraising, appearing in 37 deals and tending to participate in considerably larger rounds.

Those transactions represent 17.8% of the market.

The median financing involving a disclosed strategic investor is $22 million, compared with $5 million for deals without strategic participation.

Thomson Reuters Ventures is the most frequently identified strategic investor, with five appearances. REV appears four times, while Slaughter and May appears twice.

Other corporate investors include Salesforce Ventures and NVentures.

Supio's $60 million Series B illustrates the overlap between venture funding and industry strategy. Thomson Reuters Ventures participated alongside Sapphire Ventures and Mayfield, backing a company whose technology serves personal-injury and mass-tort law firms.

Strategic interest also extends beyond ownership stakes.

Thomson Reuters' partnership with DeepJudge shows how established companies can use integrations to bring specialized startup technology into products they already sell to lawyers.

And in August 2026, Thomson Reuters announced its own proprietary language model, Thomson, developed with a $40 million investment in training, talent and computing resources.

Large industry players are now investing in startups, partnering with them and building competing technology internally. Access to their existing customers, proprietary content and distribution channels could prove just as important as their investment checks.

Is legal AI funding becoming more active, or does it just spike when Harvey and Legora raise money?

Legal AI financing remains fairly steady by deal count, but monthly capital raised can jump dramatically whenever a major platform announces a new investment.

Across the 32 completed months from January 2024 through August 2026, we found an average of 6.25 deals per month and a median of five.

The busiest month was February 2025, with 16 financings.

However, the month with the most capital was March 2026, when recorded funding reached $830.1 million.

That month's total was dominated by Legora's $550 million Series D and Harvey's $200 million growth financing. Together, they accounted for about 90% of the money raised.

September 2026 was another unusually large month. By the September 23 cutoff, eight financings had brought in approximately $710.9 million, helped by Harvey's latest $550 million round.

We excluded that incomplete month from monthly averages.

The median completed-month capital total was $83.1 million, far below the $148.9 million average.

Looking only at aggregate funding charts could create the impression of sudden booms followed by sharp slowdowns. Deal counts provide a more stable picture of the underlying startup market.

There is no convincing seasonal pattern in the recorded activity. The biggest monthly differences are largely explained by the timing of major rounds.

Can smaller legal AI startups still compete with Harvey, Legora and Thomson Reuters?

Smaller legal AI startups can still win customers, but competing directly with the largest platforms is becoming much harder as those businesses expand their products and technical capabilities.

Harvey and Legora have attracted extraordinary amounts of financing, giving them resources to hire engineers, expand internationally and develop products spanning multiple legal tasks.

Established technology providers bring another advantage: existing customer relationships and proprietary content.

Thomson Reuters is an especially important example. Its CoCounsel Legal product combines legal research, document analysis and drafting with resources such as Westlaw and Practical Law. Its newer proprietary model gives the company more control over the technology powering those products.

Customer expectations are also changing.

According to the Thomson Reuters Future of Professionals 2026 Legal Report, based on surveys conducted in March and April 2026, 32% of in-house legal professionals were already reconsidering relationships with law firms that failed to demonstrate clear AI-enabled value within the following year.

At the same time, 71% expected professional services firms to change how they charge for their work as AI adoption increases.

That creates opportunities for startups able to solve specific problems exceptionally well, especially where their software can save lawyers time or improve the quality of legal work.

EvenUp and Supio illustrate the appeal of focusing on particular types of litigation. Luminance has built its position around contracts. DeepJudge has developed specialized capabilities for searching a firm's internal knowledge.

For a new legal AI startup, the commercial question is increasingly specific: what can its software do well enough that a law firm will pay for it alongside, or instead of, a broader platform?

Funding data cannot identify the eventual winners, but the enormous difference in available resources is already shaping the competition.

What should we actually take away from the legal AI funding data?

Legal AI is already attracting serious institutional capital, but the typical funded company remains much smaller than the industry's billion-dollar headlines suggest.

The first major conclusion is that legal AI has a broad base of young startups. We recorded 155 companies, with a strong concentration of businesses founded in 2023 and 2024. Early financing continues to support new products in litigation, research, drafting, contracts and broader workflow automation.

The second is that the biggest capital commitments now go to a very small group of companies. Harvey and Legora have established a financing tier far above the rest of the market, supported by major law-firm adoption, international expansion and increasingly sophisticated technology development.

For ordinary startups, the fundraising environment is much more modest. Seed rounds typically involve a few million dollars, while the largest later-stage rounds reach hundreds of millions. Investors are willing to finance experimentation, but reserve their largest checks for companies further along commercially.

Workflow automation currently attracts the most money. Platforms serving multiple legal tasks have become the primary destination for large financing rounds. Litigation intelligence and contract review have developed meaningful secondary markets, while smaller specialties have much thinner standalone funding.

The funding ladder also narrows considerably beyond Series B. There is a large population of seed-funded companies, but relatively few businesses have completed Series C and later-stage financings. We still need more time to see how the newest founding cohorts progress.

Another important development is the growing involvement of established legal technology providers. Thomson Reuters and other incumbents are investing, partnering and building their own legal AI capabilities, raising the competitive standard for startups seeking enterprise customers.

Ultimately, companies hoping to attract substantial future financing will need more than an interesting AI feature. Investors are already backing businesses capable of becoming important parts of how legal work gets done. Whether through broad platforms or highly specialized products, sustained customer adoption and a clear reason to keep paying will increasingly separate the strongest legal AI companies from the rest.