What are the funding trends in legal AI right now?

All funding deals in the legal AI market over the last years

Below is the table listing all the deals. 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 covering the legal AI market.

Is legal AI funding really booming in 2026?

Legal AI funding is growing extremely fast in 2026, with $2.38 billion raised so far, up 65.9% from the same period last year.

But the number of funded companies is moving in the opposite direction. We counted 59 financings involving 53 companies, compared with 62 rounds and 61 companies in 2025. Investors are committing much more money while backing fewer businesses.

The typical financing is getting bigger, too. The median round increased from $5.9 million to $8 million, while the average jumped from $23.1 million to $40.3 million. Larger rounds are becoming more common, although a handful of enormous transactions are pulling the average upward.

The two-year comparison makes the change even clearer. During the equivalent period in 2024, legal AI startups raised $410 million across 37 transactions. The market is now attracting nearly six times as much capital, with only 59% more deals.

Funding metric	2024 YTD	2025 YTD	2026 YTD
Capital raised	$410.0M	$1,432.1M	$2,376.6M
Fundraising deals	37	62	59
Funded companies	36	61	53
Median round	$4.5M	$5.9M	$8.0M
Average round	$11.1M	$23.1M	$40.3M
Largest round	$100M	$300M	$550M
Companies with multiple rounds	1	1	6
Early-stage deal share	81.1%	77.4%	64.4%
Later-stage deal share	13.5%	19.4%	27.1%

Would legal AI funding still be growing without the biggest deals?

Most of the legal AI funding boom disappears once we remove rounds above $100 million. Investment excluding those transactions increased by just 0.9% year over year, from $832.1 million to $839.6 million.

That's a huge difference from the headline growth of 65.9%.

Five rounds exceeded $100 million in 2026, compared with two during the same period in 2025. The three largest transactions alone represented 54.7% of total investment, up from 48.3% last year and 40.5% in 2024.

There is still some growth further down the market. Excluding every round above $50 million leaves $554.6 million in funding, up 17.6% from $471.5 million.

Smaller financings are growing modestly, but almost all the additional money flowing into legal AI comes from a small number of transactions.

Funding measure	2024 YTD	2025 YTD	2026 YTD
Total investment	$410.0M	$1,432.1M	$2,376.6M
Excluding rounds above $50M	$310.0M	$471.5M	$554.6M
Excluding rounds above $100M	$410.0M	$832.1M	$839.6M
Rounds above $50M	1	7	9
Rounds above $100M	0	2	5
Top-three capital share	40.5%	48.3%	54.7%
Top-five capital share	52.7%	59.1%	64.7%

Are Harvey and Legora taking over legal AI funding?

Harvey and Legora are dominating legal AI fundraising in 2026, with three recorded transactions totaling $1.3 billion between them.

Harvey raised $200 million on March 25 at an $11 billion valuation, then announced another $550 million on September 9 at a $15.5 billion valuation. Legora raised $550 million in its March 10 Series D, reaching a $5.55 billion valuation.

Those financings explain much of the concentration in legal AI funding. Investors have become willing to put hundreds of millions into individual legal software businesses.

The companies have substantial commercial ambitions. Harvey reported in September that 80% of Am Law 100 firms were using its platform, alongside legal teams at five Fortune 10 companies. Legora's March announcement highlighted customers including White & Case, Cleary Gottlieb and Goodwin, with the financing intended to accelerate its US expansion.

Their investors are equally revealing. Harvey's March financing was co-led by GIC and Sequoia, while Diffusion and Lightspeed Venture Partners co-led its September round. Accel led Legora's Series D, joined by investors including Salesforce Ventures.

Investors are financing companies they believe could become central platforms for the legal industry. Whether Harvey and Legora justify their valuations will depend on revenue growth, retention, margins and how successfully they defend their customer relationships.

Why are investors putting so much money into legal AI platforms?

Legal AI investors are spending heavily on platforms because the biggest commercial opportunity now seems to be software that can handle large parts of a lawyer's work, rather than one isolated task.

Harvey offers a useful example. Its March financing was intended to expand the AI agents customers build and use on its platform. At the time, the company reported more than 25,000 custom agents created by customers.

By September, Harvey had introduced its first post-trained open-weight model and Harvey LAB, a benchmark for evaluating legal agents. Its strategy increasingly includes controlling more of the intelligence underlying the product.

Legora is pursuing a related opportunity through a collaborative environment for legal teams, combining research, drafting, document analysis and other workflows.

Established software companies are moving in the same direction. Thomson Reuters launched its next-generation CoCounsel Legal in August, allowing lawyers to move from research and analysis to drafting and verification inside a connected workflow.

Customer demand helps explain the investment. Thomson Reuters' 2026 AI in Professional Services Report found that 41% of law firms and 47% of corporate legal departments were using generative AI, compared with 28% and 23% in 2025.

Lawyers increasingly want tools that work with their documents, internal knowledge, security systems and existing software. That's a much bigger product ambition than selling another standalone legal chatbot.

Are fewer legal AI startups getting funded now?

Fewer legal AI startups are successfully raising money in 2026, even though the total amount invested has reached a record level.

The number of distinct funded companies fell from 61 to 53, a 13.1% decline. Deal volume decreased more slowly, partly because repeat fundraising has become more common.

Six companies raised multiple times during the current comparison period, compared with only one in each of the previous two years.

As we've seen with Harvey, a successful company can attract successive rounds worth hundreds of millions of dollars within the same year. That gives repeat recipients much more influence over the funding figures.

The figures also show larger median rounds, fewer first financings and a growing share of investment activity at later stages.

We cannot determine the overall fundraising success rate because the dataset only records announced deals. But among successful fundraisers, the direction is clear: fewer companies are attracting substantially more capital.

Are new legal AI startups having a harder time raising their first round?

New legal AI startups are receiving a smaller share of funding activity, while companies that have already raised money are accounting for more deals.

First financings represented 33.9% of transactions in 2026, down from 41.9% in 2025. That corresponds to approximately 20 first financings, compared with 26 last year.

Meanwhile, follow-on financings increased from around 36 to 39 transactions.

Investors are increasingly funding companies that have already secured outside capital, developed products and had time to demonstrate commercial progress.

We should be careful about interpreting this as a collapse in startup creation. First-financing status is based on recorded and publicly identifiable financing histories. Some companies may have received earlier undisclosed capital, and the database only tells us how many companies successfully raised, rather than how many tried.

Still, founders entering legal AI now face a market where existing winners attract considerable attention, especially as those companies expand into more product categories.

Is seed funding slowing down in legal AI?

Legal AI seed funding is losing momentum in 2026, with both the number of rounds and the amount invested falling from last year.

We counted 27 seed financings totaling $105.7 million, compared with 34 rounds and $118.3 million in 2025. Series A activity also declined, from 14 deals worth $268 million to 11 worth $174.7 million.

Together, Seed and Series A rounds fell from 48 to 38 transactions.

The two-year trend is particularly noticeable. Early-stage deals represented 81.1% of financing activity in 2024, 77.4% in 2025 and 64.4% in 2026.

At the other end of the market, Series B financings rose from seven to ten, while growth-equity transactions increased from one to two.

Some startups that previously raised early-stage capital are now moving into larger financing rounds, while fewer new early-stage transactions are appearing in the data.

Seed investors haven't abandoned legal AI. But early-stage founders are benefiting much less from the sector's spectacular increase in funding.

Are legal AI investors moving toward more mature startups?

Legal AI funding is shifting toward more mature companies, with later-stage transactions accounting for 27.1% of deals in 2026, compared with 19.4% in 2025 and 13.5% in 2024.

Series B is where the change stands out most clearly. The number of Series B deals increased from three in 2024 to seven in 2025 and ten in 2026. Capital raised through Series B rounds reached $472 million this year.

Series C activity remained at two transactions, while Series D+ also recorded two financings. Growth Equity accounted for another two deals.

More businesses are reaching financing stages typically associated with product-market fit, larger customer bases and expansion plans.

There's one important limitation in the dollar comparison. Five 2026 transactions, representing $568.5 million, have unknown stages. Assigning that money to later-stage companies without further evidence would distort the picture.

The transaction counts nevertheless show a clear shift in the stage mix.

Stage	2024 deals	2025 deals	2026 deals	2026 capital
Seed	22	34	27	$105.7M
Series A	8	14	11	$174.7M
Series B	3	7	10	$472.0M
Series C	1	2	2	$237.0M
Series D+	0	2	2	$600.0M
Growth Equity	1	1	2	$218.7M
Unknown	2	2	5	$568.5M

Is Legal Workflow Automation the hottest part of legal AI?

Legal Workflow Automation is clearly the fastest-growing major legal AI funding category in 2026, with 26 deals totaling $1.74 billion.

That's up from 15 financings and $791.5 million in 2025. The category gained 19.9 percentage points of deal share, reaching 44.1% of all transactions.

Its capital share climbed to approximately 73%.

Those figures reflect the enormous rounds raised by platform companies, but there's more going on than megarounds. The number of workflow automation financings increased by 73.3%, making it the clearest category showing wider investor participation.

Legal AI customers increasingly want systems that connect research, drafting, document review, internal knowledge and matter management.

Thomson Reuters demonstrated this approach with its August launch of the next-generation CoCounsel Legal, built around connected, agentic legal workflows. Its partnership with Anthropic also allows lawyers to access CoCounsel capabilities through Claude.

Workflow automation combines the strongest growth in deal activity with substantial investment from established vendors. No other major legal AI category comes close to that combination.

Is Legal Research AI losing ground to bigger platforms?

Legal Research AI is raising more money in 2026, although fewer research-focused startups are receiving funding.

We counted seven Legal Research AI deals totaling $221.6 million, compared with nine deals worth $141.6 million in 2025.

Research remains an attractive application, but investment is going through larger individual transactions. The functionality is also becoming increasingly connected to broader legal software platforms.

In August, Thomson Reuters launched Thomson, its proprietary language model trained using its professional content and legal expertise. The company disclosed a $40 million training investment, including talent and computing costs.

Thomson powers capabilities within CoCounsel Legal, including document analysis. Rather than positioning legal research as an entirely separate product, Thomson Reuters is making it part of an integrated system.

Harvey and Legora are also building products where research works alongside drafting, review and other legal tasks.

This could make life more complicated for independent research startups. They need enough differentiation in legal accuracy, content access, jurisdictional coverage or specialized workflows to compete with companies selling much broader products.

Is contract review becoming less attractive to legal AI investors?

Contract Review and Management is losing funding momentum, with deals falling from 11 to seven and investment declining from $225.8 million to $153 million.

Its share of legal AI transactions decreased by 5.9 percentage points, while its share of capital dropped by 9.3 percentage points.

The contrast with workflow automation is especially striking. While investors backed more companies promising to manage entire legal processes, they funded fewer businesses focused specifically on contracts.

We suspect product convergence is part of the explanation. Contract review has become a standard capability within many broader legal AI platforms.

Harvey, Legora and CoCounsel all incorporate document analysis into wider sets of legal tools. A company offering contract review alone consequently needs a stronger reason for customers to choose it instead of capabilities they may already have inside another platform.

Contract review remains valuable, particularly for high-volume commercial agreements, procurement and due diligence. Investors simply appear more interested in businesses capable of expanding beyond one document workflow.

Which other legal AI categories are gaining or losing funding?

Beyond workflow automation, legal AI funding is becoming more uneven, with several established categories recording fewer deals even when their total capital remains substantial.

Litigation and Case Intelligence recorded 12 deals worth $146.9 million, compared with 13 deals and $202.1 million last year.

Legal Drafting AI declined from five financings to four, although capital increased from $32.6 million to $50 million.

Due Diligence and Transaction Review shows why capital growth needs careful interpretation. Its investment increased from $24 million to $60 million, but all of this year's capital came from a single recorded transaction, compared with six deals in 2025.

E-Discovery and Document Review declined to just one transaction worth $2.5 million. Legal Knowledge Management also recorded one deal, worth $7.1 million, after none in the previous comparison period.

The smaller categories are too thinly represented to draw strong conclusions about long-term demand. But across all eight categories, workflow automation is the only major segment experiencing such a substantial increase in both financing volume and capital.

Category	2025 deals	2026 deals	2026 capital	Deal-share change
Legal Workflow Automation	15	26	$1,735.6M	+19.9 pp
Litigation & Case Intelligence	13	12	$146.9M	−0.6 pp
Contract Review & Management	11	7	$153.0M	−5.9 pp
Legal Research AI	9	7	$221.6M	−2.7 pp
Legal Drafting AI	5	4	$50.0M	−1.3 pp
Due Diligence & Transaction Review	6	1	$60.0M	−8.0 pp
E-Discovery & Document Review	3	1	$2.5M	−3.1 pp
Legal Knowledge Management	0	1	$7.1M	+1.7 pp

Why are big tech and legal publishers paying more attention to legal AI?

Large technology investors and legal publishers are becoming more involved in legal AI because the software is starting to affect how legal information is accessed, how work gets completed and how law firms operate.

Our research shows a 9.3-percentage-point increase in recorded strategic-investor participation.

Noxtua offers a particularly interesting example. In September, the German legal AI company announced a Series C exceeding €100 million, with legal publisher C.H.BECK becoming its majority shareholder and Austrian publisher MANZ joining as an investor.

Legal publishers already own or distribute valuable legal information, maintain relationships with lawyers and understand the jurisdictions their customers operate in. Investing in AI can help them bring that content into new software products.

Thomson Reuters is also expanding its position, although much of that activity is happening through internal product development and partnerships rather than startup equity financing.

Its May agreement with Anthropic connected Claude and CoCounsel Legal. In August, its expanded relationship with iManage focused on giving AI tools access to documents and organizational knowledge held in established enterprise systems.

Salesforce Ventures' participation in Legora's March round provides another example of a corporate investor entering the sector.

Legal AI is becoming increasingly important to the products and customer relationships of established technology businesses. They're no longer content to leave the opportunity entirely to startups.

Is Europe catching up with the US in legal AI funding?

European legal AI startups are attracting much larger investments in 2026, but Europe hasn't recorded an increase in the number of funding deals.

We counted 24 European transactions in both 2025 and 2026 comparable periods, while the amount invested rose sharply.

Two companies help explain this change.

Legora, originally founded in Sweden, announced its $550 million Series D in March. Its financing was intended to accelerate expansion across the United States, where it had secured customers including White & Case and Goodwin.

Germany's Noxtua announced a round exceeding €100 million in September, backed by major European legal publishers.

The examples show two different strategies emerging among European legal AI companies. Legora is building a globally competitive platform and expanding aggressively into the US, while Noxtua emphasizes European legal expertise and closer relationships with regional publishers.

That distinction may become increasingly important as companies compete over jurisdiction-specific information, language coverage, data protection and customer trust.

Europe is gaining importance in funding dollars because a few companies are raising much larger rounds. The number of European financing transactions hasn't increased in the same way.

Has legal AI already raised more money than last year?

Legal AI had nearly matched its entire 2025 funding total by September, making 2026 an exceptional year for capital raised.

Our database records $2.38 billion through September 23, compared with $2.39 billion during the whole of 2025. That's already 99.3% of last year's total.

The number of transactions tells a different story. This year's 59 financings represent only 62.8% of the 94 deals recorded in full-year 2025.

Compared with full-year 2024, when companies raised $706.7 million across 55 deals, the current year's funding total is more than three times as large.

We haven't annualized these figures because venture funding is uneven. Another very large transaction could change the full-year total dramatically, and there's no reason to assume the remaining months will follow the same pattern.

Investors have already committed almost as much capital as they did throughout 2025, with far fewer deals required to reach that amount.

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

Smaller legal AI startups can still compete, but Harvey and Legora have made the market much harder for companies offering basic research, drafting or document review tools.

Both companies have raised enormous amounts of capital, giving them resources to improve products, hire specialized teams and expand their relationships with major law firms.

Harvey's strategy increasingly includes proprietary model development and legal agents that customers can customize. Legora is expanding a collaborative platform intended to become part of lawyers' everyday work.

Thomson Reuters adds another level of competition. Its CoCounsel platform combines established legal content, AI capabilities and integrations with document-management systems that many firms already use.

A small startup trying to sell another general-purpose legal assistant therefore needs a compelling reason for customers to adopt it.

Specialized products may have better opportunities. A company deeply focused on one jurisdiction, a particular legal practice, a proprietary dataset or a workflow that larger platforms handle poorly could still build a defensible business.

Some startups may also benefit by supplying capabilities to the bigger platforms rather than competing with them directly.

Smaller founders will increasingly need to prove that their products offer something customers cannot easily get from an established legal AI platform.

Is the legal AI funding boom sustainable?

Legal AI funding can remain strong because customer adoption is growing, but repeating the current pace of megarounds will be difficult.

Thomson Reuters' 2026 industry research provides encouraging evidence about underlying demand. Adoption is rising across both law firms and corporate legal departments, while 15% of surveyed professional organizations already reported using agentic AI.

The commercial challenge now is measuring the value of these tools.

The same research found that only 18% of professional organizations tracked AI return on investment. Even among law firms, widespread experimentation has not always translated into clear measurements of profitability or business performance.

This is particularly relevant for startups valued in the billions. Investors will eventually need evidence that customer adoption produces durable revenue, attractive retention and enough pricing power to support those valuations.

Competition is also intensifying. Independent startups, large enterprise software vendors and legal publishers are all building increasingly capable products.

As discussed earlier, nearly all the current headline funding growth comes from rounds above $100 million. Those transactions could become less frequent without indicating that the entire legal AI industry is weakening.

We expect capital to remain available for companies demonstrating genuine commercial progress, although the size and frequency of future megarounds are much harder to predict.

What is actually changing in legal AI funding?

Legal AI is becoming a market where investors commit increasingly large amounts to a smaller number of companies. Funding rose 65.9% year over year, even as deal volume and the number of funded businesses declined. That concentration is the most important development behind the headline figures.

Megarounds are responsible for nearly all the capital growth. Removing transactions above $100 million reduces the increase to just 0.9%, while Harvey and Legora account for an exceptionally large share of total investment.

Legal Workflow Automation is attracting the broadest increase in investor attention. Its deal count climbed from 15 to 26, and its capital more than doubled. Investors are showing a clear preference for platforms that can manage several legal tasks over businesses focused on one narrow application.

The market is also becoming more mature. Early-stage financings now represent a much smaller share of transactions, while Series B activity has grown. First financings are declining relative to follow-ons, with more activity coming from companies that already have a funding history.

Strategic investors and established legal technology companies are becoming more involved. Noxtua's financing by European legal publishers, Salesforce Ventures' investment in Legora, and Thomson Reuters' expanding AI partnerships show how important legal AI has become to companies already serving professional customers.

The main risk is that funding totals are running ahead of what we can confidently conclude about broad market growth. Adoption is increasing, but the enormous valuations of leading platforms will ultimately depend on revenue quality, customer retention and measurable commercial outcomes.

Legal AI is moving toward a smaller group of heavily financed platforms competing to become core software infrastructure for the legal profession. Investors are backing that transformation aggressively, while funding for newer and more specialized companies is becoming relatively less prominent.