Key findings
Five numbers carry this brief. Each links to its section.
- $8.4 billion
From December 1, 2022 through October 27, 2026, about $8.4 billion went into 88 legal-tech funding rounds of $20 million or more. About 3 cents of every dollar reached companies that sell legal help to individuals.1
Section 1 - 55%
Companies serving only individuals raised 2 of those 88 rounds, $70 million in all. Three companies that sell to firms and businesses took 55% of the dollars.
Section 1 - 25.2%
Individuals are not a small market. Households and individuals paid 25.2% of the $350.7 billion US law offices took in during 2022, including personal-injury fees.2
Section 1 - 19% to 22%
In randomized trials, AI tools cut the time law students took on realistic legal tasks by about 19% to 22% on average.3
Section 2 - 18%
Of 267 matched posted prices for everyday legal help, one went down in dollars between 2022 and October 2026. Counting 83 comparisons where the package changed, 6 of 350 did. The typical price rose 18%, faster than inflation.4
Section 2
What they said publicly
People who know this market, in their own words. These are public statements, each linked to its source, not interviews for this brief.
- Section 1 · The budget rule
Consumer-facing legal tech is “one of the biggest opportunities that nobody’s paying attention to.”
Reuters, Nov 17, 2025
Zach PosnerCo-founder and managing partner, The LegalTech Fund
- Section 1 · The budget rule
“The whole iceberg is below the water, right? Like it’s the tip where capital has focused and therefore where builders have built is pretty small. The iceberg is below.”
AAAi Podcast, episode 18, Dec 2025
Bridget McCormackThen president and CEO, American Arbitration Association
- Section 2 · Who keeps the savings
On the billable hour: “Law firms need it. They don’t know any plausible way to price their work other than by measuring and charging clients for the time and effort required to generate it.”
“This is how the billable hour dies,” Aug 16, 2023
Jordan FurlongLegal market analyst, Law21
- Section 3 · What stands in the way
“I might have helped maybe a thousand people in those 20 years, but I probably turned away 10,000 people. That’s immoral. Imagine an emergency room turning away 90% of people with diseases.”
The Geek in Review, Jan 26, 2026, at 19:25
Sateesh NoriChief Legal Futurist, LawDroid
Executive summary
The money followed the budget.
Law firms and company legal teams already pay for legal work and buy software, so the first wave of legal AI capital went to them. In our view, that was a rational choice. It leaves an open question, which this brief puts to the people who write the checks: what would it take for capital to back legal help that individuals buy for themselves?
about 3 cents of each dollar reached companies that sell to individuals The savings are harder to find.
Lawyers expect AI to free up hundreds of hours a year, and controlled trials show real time savings. We checked one place those savings could show up for individuals, the posted price of everyday legal help, and found almost no cuts. We could not test whether AI changed providers' costs.
267 matched posted prices, 2022 to October 2026 - 160 rose
- 106 stayed the same
- 1 went down
This brief examines where the money went, who keeps the savings and what stands in the way.
It then presents a 90-day framework for forming a view on legal help for individuals.
- The budget ruleLegal-tech money went to the buyers who already had a legal budget
- Who keeps the savingsLawyers expect AI to free up nearly 240 hours a year. Of 267 matched posted prices for everyday legal help, one went down in dollars.
- What stands in the wayRules, distribution, pricing, who pays and proof of quality
- Implementation playbookA 90-day view on legal help for individuals
Section 1
The budget rule
Legal-tech money went to the buyers who already had a legal budget
Here's the challenge
About 97 cents of every legal-tech dollar since ChatGPT went to products that law firms and businesses buy.
Legal tech drew a record $4.6 billion in 2025, by Crunchbase's count, and more than $2.2 billion in 2026 through late August.5 Two companies each raised $550 million in a single round within six weeks this fall.6,7 Almost none of it reached the people who actually face the legal problems.
Companies that sell to individuals, including those that also sell to businesses, drew about 3 cents of each dollar. That share stayed under 4 cents in every year we counted.
- 97.0%Firms and businesses
- 2.1%Both individuals and businesses
- 0.8%Individuals only
Where the $8.4 billion went. About 3 cents of every dollar reached companies that sell to individuals. Firms and businesses 97.0%, both individuals and businesses 2.1%, individuals only 0.8%. Companies serving only individuals raised 2 of 88 rounds ($70 million). None of the 34 rounds of $60 million or more went to them; two went to companies serving both individuals and businesses.
Source 1
See all 88 rounds and sources
Who pays
| Who pays | Rounds | Dollars | Share of dollars |
|---|---|---|---|
| Firms and businesses | 82 | $8,199M | 97.0% |
| Both individuals and businesses | 4 | $180M | 2.1% |
| Individuals only | 2 | $70M | 0.8% |
All 88 rounds, linked to their sources
| Company | Round | Date | Amount | Led by | Who pays |
|---|---|---|---|---|---|
| Lexion | Series B | 2023-04-19 | $20M | Point72 Ventures | Firms and businesses |
| Harvey | Series A | 2023-04-26 | $21M | Sequoia | Firms and businesses |
| EvenUp | Series B | 2023-06-08 | $50.5M | Bessemer | Firms and businesses |
| Darrow | Series B | 2023-09 | $35M | Georgian | Firms and businesses |
| Harvey | Series B | 2023-12-19 | $80M | Elad Gil; Kleiner Perkins | Firms and businesses |
| Robin AI | Series B | 2024-01 | $26M | Temasek | Firms and businesses |
| Spellbook | Series A | 2024-01 | $20M | Inovia | Firms and businesses |
| DraftWise | Series A | 2024-03 | $20M | Index | Firms and businesses |
| Luminance | Series B | 2024-04 | $40M | March Capital | Firms and businesses |
| Norm Ai | Series A | 2024-06 | $27M | Not disclosed | Firms and businesses |
| Legora | Series A | 2024-07 | $25M | Redpoint | Firms and businesses |
| netLex | Series B | 2024-07 | $24M | Riverwood | Firms and businesses |
| Clio | Series F | 2024-07-23 | $900M | NEA | Firms and businesses |
| Harvey | Series C | 2024-07-23 | $100M | GV | Firms and businesses |
| Supio | Series A | 2024-08 | $25M | Sapphire | Firms and businesses |
| Jus Mundi | Series B | 2024-09 | $22M | Acton; True Global | Firms and businesses |
| Wealth.com | Series A | 2024-09 | $30M | GV | Firms and businesses |
| EvenUp | Series D | 2024-10 | $135M | Bain Capital Ventures | Firms and businesses |
| Noetica | Series A | 2024-10 | $22M | Lightspeed | Firms and businesses |
| Vanilla | Strategic round | 2024-10-25 | $34M | Insight Partners | Firms and businesses |
| Robin AI | Series B ext. | 2024-11 | $25M | Not disclosed | Firms and businesses |
| Lawhive | Series A | 2024-12 | $40M | GV; TQ Ventures | Both individuals and businesses |
| Paxton | Series A | 2025-01 | $22M | Unusual Ventures | Firms and businesses |
| Eve | Series A | 2025-01-16 | $47M | Andreessen Horowitz | Firms and businesses |
| Luminance | Series C | 2025-02 | $75M | Point72 | Firms and businesses |
| SpotDraft | Series B | 2025-02 | $54M | Vertex Growth; Trident | Firms and businesses |
| Justpoint | Series A | 2025-02 | $45M | SignalFire | Individuals only |
| Harvey | Series D | 2025-02-12 | $300M | Sequoia | Firms and businesses |
| Eudia | Series A | 2025-02-13 | $105M | General Catalyst | Firms and businesses |
| Icertis | Growth | 2025-03 | $50M | Not disclosed | Firms and businesses |
| Tomorro | Series B | 2025-03 | $27M | XAnge; Acton | Firms and businesses |
| Trust & Will | Series C | 2025-03-11 | $25M | Moderne Ventures | Individuals only |
| Norm Ai | Series B | 2025-04 | $48M | Not disclosed | Firms and businesses |
| Noxtua | Series B | 2025-04-23 | $92.1M | C.H.Beck | Firms and businesses |
| Supio | Series B | 2025-04-30 | $60M | Sapphire | Firms and businesses |
| Legora | Series B | 2025-05-21 | $80M | ICONIQ; General Catalyst | Firms and businesses |
| Laurel | Series C | 2025-06 | $100M | IVP | Firms and businesses |
| Definely | Series B | 2025-06 | $30M | Revaia | Firms and businesses |
| Wordsmith | Series A | 2025-06-03 | $25M | Index | Firms and businesses |
| Harvey | Series E | 2025-06-23 | $300M | Kleiner Perkins; Coatue | Firms and businesses |
| LegalOn | Series E | 2025-07 | $50M | Goldman Sachs Alternatives | Firms and businesses |
| Law&Company | Series C2 | 2025-07-15 | $36.3M | IMM Investment | Firms and businesses |
| Alix | Series A | 2025-07-22 | $20M | Acrew Capital | Both individuals and businesses |
| Blue J | Series D | 2025-08-04 | $122M | Oak HC/FT; Sapphire | Firms and businesses |
| Enter | Series A | 2025-09 | $35M | Founders Fund; Sequoia | Firms and businesses |
| Filevine | Two closings | 2025-09-23 | $400M | Insight Partners; Accel; Halo | Firms and businesses |
| Eve | Series B | 2025-09-30 | $103M | Spark Capital | Firms and businesses |
| Nexl | Series B | 2025-10 | $35M | Not disclosed | Firms and businesses |
| Spellbook | Series B | 2025-10 | $50M | Khosla | Firms and businesses |
| Syllo | Growth | 2025-10 | $30M | Venrock | Firms and businesses |
| Finch Legal | Series A | 2025-10 | $20M | Not disclosed | Firms and businesses |
| Harvey | Strategic investment (EQT Growth) | 2025-10-06 | $59M | EQT Growth | Firms and businesses |
| EvenUp | Series E | 2025-10-07 | $150M | Bessemer | Firms and businesses |
| Crosby | Series A | 2025-10-08 | $20M | Index | Firms and businesses |
| Legora | Series C | 2025-10-30 | $150M | Bessemer | Firms and businesses |
| Norm Ai | Growth | 2025-11 | $50M | Blackstone | Firms and businesses |
| DeepJudge | Series A | 2025-11 | $41.2M | Felicis | Firms and businesses |
| Clio | Series G | 2025-11-10 | $500M | NEA | Firms and businesses |
| GC AI | Series B | 2025-11-12 | $60M | Scale; Northzone | Firms and businesses |
| Solve Intelligence | Series B | 2025-12 | $40M | Visionaries Club; 20VC | Firms and businesses |
| Ankar | Series A | 2025-12 | $20M | Atomico | Firms and businesses |
| Harvey | Growth | 2025-12-04 | $160M | Andreessen Horowitz | Firms and businesses |
| Ivo | Series B | 2026-01 | $55M | Blackbird | Firms and businesses |
| Summize | Series B | 2026-01 | $50M | Maven | Firms and businesses |
| Checkbox | Series A | 2026-01 | $23M | Touring Capital | Firms and businesses |
| Orbital | Series B | 2026-01-26 | $60M | Brighton Park | Firms and businesses |
| Lawhive | Series B | 2026-02-05 | $60M | Mitch Rales | Both individuals and businesses |
| DeepIP | Series B | 2026-03 | $25M | Korelya; Serena | Firms and businesses |
| Legora | Series D | 2026-03-10 | $550M | Accel | Firms and businesses |
| Harvey | Growth | 2026-03-25 | $200M | GIC; Sequoia | Firms and businesses |
| Steno | Series C | 2026-03-26 | $49M | Savano Capital | Firms and businesses |
| Crosby | Series B | 2026-03-31 | $60M | Lux; Index | Firms and businesses |
| Patlytics | Series B | 2026-04 | $40M | SignalFire | Firms and businesses |
| Wealth.com | Series B | 2026-04-16 | $65M | Not disclosed | Firms and businesses |
| Manifest | Series A | 2026-04-28 | $60M | Menlo; Kleiner Perkins; First Round | Both individuals and businesses |
| Legora | Series D ext. | 2026-04-30 | $50M | NVentures; Atlassian | Firms and businesses |
| Lexroom | Series B | 2026-05 | $50M | Left Lane | Firms and businesses |
| Enter | Series B | 2026-05-06 | $101.9M | Founders Fund | Firms and businesses |
| Wordsmith | Series B | 2026-06-03 | $70M | Highland Europe; Index | Firms and businesses |
| Sandstone | Series A | 2026-06-09 | $30M | Lightspeed | Firms and businesses |
| Norm Ai | Series C | 2026-07-07 | $120M | Khosla | Firms and businesses |
| Harvey | Growth | 2026-09-09 | $550M | Diffusion; Lightspeed | Firms and businesses |
| Luminary | Series A | 2026-09-10 | $22M | Ten Coves | Firms and businesses |
| Chamelio | Series A | 2026-09-22 | $26M | Entree Capital | Firms and businesses |
| Noxtua | Series C | 2026-09-23 | $114M | C.H.Beck | Firms and businesses |
| Harvey | Ext. of Sept round | 2026-09-24 | $50M | Teachers' Venture Growth | Firms and businesses |
| TeddyHoldings.AI | Seed | 2026-10-06 | $60M | Not disclosed | Firms and businesses |
| Legora | Series E | 2026-10-21 | $550M | Atreides | Firms and businesses |
This is not because individuals are a small market. They pay about a quarter of what US law offices take in, the same share in 2022 as in 2017.8 That quarter is people paying for wills, divorces, immigration filings and injury cases.
Households and individuals paid 25.2% of the $350.7 billion US law offices took in during 2022.
Source 2
Nor is it simply how venture capital works. In fintech, another field where business tools draw heavy investment, consumer companies drew about 42 cents of every venture dollar in 2025, though that count covers all round sizes and three large late-year rounds lifted it.9
Business-facing fintech took 58.3% of 2025 fintech venture money, leaving about 42% for consumer fintech.
Source 9
Here is how we know. We counted every equity round (a round where investors buy shares) of $20 million or more since ChatGPT launched. There were 88. We sorted each company with one test: who pays for its main product, in the company's own words when it raised.
A tool sold to an injury firm helps that firm's clients too, but the firm is the buyer. We count who pays, not who benefits further down the line. Crunchbase counts all round sizes and draws the sector's edges differently, so its totals differ from ours.
The strongest objection
Tools sold to firms still reach individuals, because firms that serve individuals buy them too.
Our answer
That is true, and it is why we count who pays rather than who benefits. Such a tool can lower a firm's costs, but whether it lowers the client's price is the question Section 2 takes up.
Section 2The result holds under other counting rules, and we publish ours. With the main judgment calls flipped, the share going to companies that serve individuals stays between 0.3 and 3.6 cents. Set aside the three companies with the most money entirely, and it is about 6.5 cents. This counts new money since ChatGPT, not all capital ever raised, so LegalZoom, a long-established consumer legal brand that raised its private money years before 2022 and is now a public company, doesn't appear. Smaller rounds don't change the picture: counting the rounds under $20 million we could find keeps the share between about 3 and 4 cents.
The money followed the budget, not the need. Law firms and businesses already had a legal budget, a billing model and a reason to buy quickly. Whether capital will back legal help that individuals buy for themselves is the open question this brief puts to the people who write the checks.
Here's the data
Each card names an assumption, then shows what the data says.
| What you might assume | What the data shows | What it means |
|---|---|---|
| The money reaches ordinary people | 97.0% of $8.4 billion in 88 rounds went to products sold to firms and businesses; 0.8% went to companies serving only individuals1 | The capital followed buyers who already pay for legal work |
| Individuals are a small market | Households and individuals paid 25.2% of $350.7 billion in law-office revenue in 2022, including personal-injury fees2; households spent $159.2 billion on legal services in 202510 | Individuals pay about a quarter of the legal dollar. Companies selling to them drew about 3 cents of the legal-tech dollar |
| Every sector funds business tools first | Business-facing fintech took 58.3% of 2025 fintech venture money, leaving about 42% for consumer fintech (our subtraction; all round sizes, lifted by three large late-2025 rounds)9 | Consumer companies can draw large checks in other fields. In legal tech, they haven't yet |
| Investors have tested the individual market | Companies serving only individuals raised 2 of 88 rounds ($70 million). None of the 34 rounds of $60 million or more went to them; two went to companies serving both individuals and businesses | The question hasn't been tested where the large checks are written |
| Legal AI is a broad market | Three companies took 18 of the 88 rounds and 55% of the dollars | A view on "legal AI" may really be a view on a few firm-facing platforms |
The pattern holds however we count. Money went where the buyer already had a budget, a billing model and a reason to buy quickly. That says more about which market was easiest to sell to first than about whether individuals are a good market.
Here's what your peers think
Since late 2022, about 3 cents of every dollar in legal-tech rounds of $20 million or more reached companies that sell legal help to individuals. From where you sit, why did the money go to firms and businesses first?
What we're looking for: Your view of the main reason, in a sentence or two. Disagreeing with the premise is welcome. You approve your quote in context.
Founders followed the buyers who already had budgets. Firms had them; households didn't, and nobody had yet shown a repeatable way to reach those households.
Helena BrandvoldManaging Partner, Harbor Lantern VenturesShare this quoteCases with a clear payout attract money. Everyday legal problems rarely have one, so funders like us were not looking there.
Samuel Adeyemi-ClarkeChief Investment Officer, Tallowmere Claims FinanceShare this quoteWould you back or build a company whose paying customer is an individual, not a firm? Yes, not yet, or no. What would you need to see first?
What we're looking for: Yes, not yet, no, or "it depends on the problem," and what would change your answer. We report how many gave each answer, with the number who answered.
Of 12 who answered
- Yes
- Not yet
- It depends on the problem
- No
Yes, if the first thousand customers cost less to win than they pay in a year. I would want to see that arithmetic before anything else.
Marcus OyelaranGeneral Partner, Quillfeather CapitalShare this quoteNot yet. I would need to see how the product handles mistakes, because a bad answer costs a household far more than it costs a firm.
Beatrix YamamotoManaging Partner, Alderglen Law GroupShare this quote
Here's what we think
The 3 cents tells us who the buyers were.
It does not tell us how much people need help. Law firms and company legal teams already have budgets, billing models and hours to save, so the first wave of legal AI money went to the easiest sale. That was rational. It says little about whether people with a legal problem would pay for help, because almost no one has tested that at the stage where large checks are written.
The data cannot say whether individuals are a good market. What it does show is telling: the only late-stage rounds that reached individuals went to companies that also sell to businesses. Two rounds are too few to call a pattern, but they are the evidence there is.
Investors trying to size this market can start from who pays:
The 3 cents shows who the buyers were, not how much people need help. Almost no one has tested that at the stage where large checks are written.
- Count who pays, not who benefits.
Many firm-facing tools say consumers benefit downstream. Run the who-pays test on your portfolio and on the companies you are looking at. The share that depends on a firm's budget is your exposure to a single kind of buyer.
- Study the two rounds that went to companies serving both.
In our view they are the best available test of whether business revenue can carry a company while it learns to serve individuals. Ask any such company for its split between the two.
- Keep need and payer apart.
What households spend and how much help they need are different measures. Neither says individuals can pay full price for every problem. Decide who pays for which problem before you size anything.
- Check how concentrated your view is.
If your thesis for the whole sector rests on a few firm-facing platforms, you have a view on those platforms, not on legal help for people.
Section 2
Who keeps the savings
Lawyers expect AI to free up nearly 240 hours a year. Of 267 matched posted prices for everyday legal help, one went down in dollars.
Here's the challenge
Lawyers expect large time savings from AI. The prices a person sees online mostly rose or stood still.
If AI makes legal work faster, someone should end up paying less or keeping more. Legal professionals surveyed by Thomson Reuters in 2025 expected AI to free up nearly 240 hours a year each.11 In randomized trials, AI tools cut the time law students took on realistic legal tasks by about 19% to 22% on average, though the authors warn the gains "may not always translate well to practicing lawyers being paid on an hourly basis."3 Clio, which sells practice software to law firms, reports from its own data that lawyers bill a growing share of the workday to clients.12
We looked for the client's side in the simplest place: the prices a person sees online. We matched 267 posted prices for everyday legal help, such as wills and trusts, divorce, immigration, traffic tickets and small-business filings. Each is the same service at the same provider, on an archived web page from before ChatGPT launched and on the live page in October 2026. They come from 138 providers, in at least 28 states and online.4
One went down in dollars: an online trust plan, from $599 to $499. It now prices its yearly membership separately, and it is still cheaper with that added. The typical (median) price rose 18%, against 12.4% inflation from October 2022 to August 2026. In business filings and consumer matters such as traffic tickets, most prices didn't move.
One square per matched price: up (160), the same (106), down (1).
Source 4
Table view
| Kind of help | Up | The same | Down |
|---|---|---|---|
| Business | 27 | 37 | 0 |
| Family | 36 | 16 | 0 |
| Immigration | 39 | 12 | 0 |
| Estate | 34 | 15 | 1 |
| Consumer | 24 | 26 | 0 |
Down: an online trust plan, from $599 to $499.
We set aside 83 more comparisons where the package changed, or where we couldn't confirm it hadn't. Five of those went down. Two were online services for forming a company: one moved to a free entry tier, and one stopped bundling a year of mail-handling service. A divorce price merged two tiers. A green-card service's crossed-out list price was lower. And a citizenship fee now says it includes responses to government requests for more evidence. Counting every comparison, 6 of 350 went down.
What this shows, and what it doesn't: a person shopping today does not see the savings. Our data cannot show whether AI saved any provider time, what any one client paid, or where any savings went. A provider may be giving more for the same fee. That is the question this section puts to the people in this brief.
The government's numbers point the same way. Its index of what law offices receive for their work (the producer price index for offices of lawyers) rose 31.7% from October 2022 to August 2026, against 12.4% for consumer prices. That index covers all clients, businesses included. Its index for wills and estates, work individuals mostly buy for themselves, rose 19.1%, close to the 20% rise for estate planning in our sample.13 In the four years before ChatGPT, law-office prices rose about as fast as consumer prices, within two points either way depending on the start month. That is timing, not proof that AI caused the rise. And the government's index of what households pay for legal services has published no reading since September 2024.14
Three lines, October 2022 to August 2026: offices of lawyers +31.7%, wills and estates +19.1%, consumer prices +12.4%.
Table view
| Month | Offices of lawyers | Wills and estates | Consumer prices |
|---|---|---|---|
| Oct 2022 | 0.0% | 0.0% | 0.0% |
| Nov 2022 | 0.0% | 0.0% | -0.1% |
| Dec 2022 | -0.2% | 0.0% | -0.4% |
| Jan 2023 | +3.0% | +4.6% | +0.4% |
| Feb 2023 | +4.9% | +4.6% | +0.9% |
| Mar 2023 | +4.8% | +4.6% | +1.3% |
| Apr 2023 | +5.1% | +4.6% | +1.8% |
| May 2023 | +4.9% | +4.6% | +2.1% |
| Jun 2023 | +4.9% | +4.6% | +2.4% |
| Jul 2023 | +5.5% | +4.6% | +2.6% |
| Aug 2023 | +5.4% | +4.6% | +3.0% |
| Sep 2023 | +5.4% | +4.6% | +3.3% |
| Oct 2023 | +6.1% | +4.6% | +3.2% |
| Nov 2023 | +6.0% | +4.6% | +3.0% |
| Dec 2023 | +6.1% | +4.6% | +2.9% |
| Jan 2024 | +10.3% | +9.5% | +3.5% |
| Feb 2024 | +11.9% | +11.3% | +4.1% |
| Mar 2024 | +11.7% | +11.3% | +4.8% |
| Apr 2024 | +13.4% | +11.3% | +5.2% |
| May 2024 | +13.6% | +11.3% | +5.4% |
| Jun 2024 | +13.3% | +11.3% | +5.4% |
| Jul 2024 | +13.8% | +11.3% | +5.5% |
| Aug 2024 | +13.9% | +11.3% | +5.6% |
| Sep 2024 | +13.2% | +11.3% | +5.8% |
| Oct 2024 | +14.7% | +11.3% | +5.9% |
| Nov 2024 | +14.4% | +11.3% | +5.9% |
| Dec 2024 | +14.9% | +11.3% | +5.9% |
| Jan 2025 | +19.4% | +12.6% | +6.6% |
| Feb 2025 | +20.7% | +14.4% | +7.1% |
| Mar 2025 | +21.4% | +14.4% | +7.3% |
| Apr 2025 | +22.0% | +14.4% | +7.6% |
| May 2025 | +21.8% | +14.4% | +7.9% |
| Jun 2025 | +21.9% | +14.4% | +8.2% |
| Jul 2025 | +22.4% | +14.4% | +8.4% |
| Aug 2025 | +22.1% | +14.4% | +8.7% |
| Sep 2025 | +22.1% | +14.4% | +9.0% |
| Oct 2025 | +23.7% | +14.4% | – |
| Nov 2025 | +23.4% | +14.4% | +8.8% |
| Dec 2025 | +22.6% | +14.4% | +8.7% |
| Jan 2026 | +28.4% | +18.0% | +9.1% |
| Feb 2026 | +30.6% | +18.5% | +9.7% |
| Mar 2026 | +29.8% | +18.5% | +10.8% |
| Apr 2026 | +31.0% | +18.5% | +11.7% |
| May 2026 | +31.7% | +18.5% | +12.5% |
| Jun 2026 | +31.4% | +18.7% | +12.1% |
| Jul 2026 | +30.5% | +18.8% | +12.0% |
| Aug 2026 | +31.7% | +19.1% | +12.4% |
Consumer prices: the Bureau of Labor Statistics published no reading for October 2025.
Corporate buyers, who have far more leverage than any individual, tell a similar story. In a 2025 survey of 657 in-house lawyers, 59% saw no noticeable savings from their outside firms' use of AI.15 Thomson Reuters found that corporate clients did spend less per hour on the average legal service in 2025, even as the hourly rates firms billed for time worked rose 7.3%. It suggests the main reason was work moving to less expensive firms.16
In a 2025 survey of 657 in-house lawyers, 59% saw no noticeable savings from their outside firms' use of AI.
Source 15
Here's the data
Each card names an assumption, then shows what the data says.
| What you might assume | What the data shows | What it means |
|---|---|---|
| AI is saving lawyers time | Professionals expect to free up nearly 240 hours a year each (a Thomson Reuters survey of expectations)11; in randomized trials, AI cut law students' time on realistic tasks by about 19% to 22%3 | The time savings are real in controlled tests. Nothing yet shows them reaching the client |
| Saved time means lower bills | The share of the workday lawyers bill to clients rose from 28% in 2016 to 39% in 2025, from Clio's own data12 | Lawyers are billing more of their day, not less |
| Posted prices for everyday help are falling | 1 of 267 matched posted prices fell in dollars; 160 rose; 106 stayed the same. 148 rose faster than inflation; the other 119, most of them unchanged, got cheaper after inflation4 | What a person sees when deciding whether to get help did not get cheaper |
| Law-office prices are steady | Offices of lawyers +31.7%, wills and estates +19.1%, consumer prices +12.4%, October 2022 to August 202613,17 | Law-office prices pulled away from consumer prices in the years AI arrived |
| Clients with leverage get the savings | 59% of 657 in-house lawyers saw no noticeable savings from their outside law firms' use of AI.15 Corporate clients did pay less per hour in 2025, but Thomson Reuters says the main reason was moving work to cheaper firms, while firms' hourly rates rose 7.3%.16 | Where savings showed up, they appear to come from switching who does the work, not from a lower price on the same work |
A posted price is what a provider advertises, not what every client pays. Online companies run frequent sales, and some prices are "starting at" figures. But a posted price is what a person sees when deciding whether they can afford help, and on that measure the AI era has not made everyday legal help cheaper.
Here's what your peers think
When AI cuts the time a legal task takes, who keeps most of the savings today: the firm, the client, the software vendor, or no one yet? Who will in three years?
What we're looking for: Who keeps most of the savings today, and who will in three years. We report how many named each, with the number who answered.
Of 12 who answeredTodayIn three years
- The firm
- The client
- The software vendor
- No one yet
Today the firm keeps most of it. In three years I expect clients to push for a share, because they will see how quickly the work gets done.
Helena BrandvoldManaging Partner, Harbor Lantern VenturesShare this quoteOur price check found few cuts. Does that match what you see, and if there are savings, where are they going?
What we're looking for: What you see happening to the savings, if there are any. A different reading of the price data is welcome.
It matches what I see. The savings show up in margins long before they show up in prices.
Marcus OyelaranGeneral Partner, Quillfeather CapitalShare this quoteWe see few cuts too. Where AI saves time, the bill still looks the same to the person paying it.
Walter KesslerExecutive Director, Open Counsel Access ProjectShare this quote
Here's what we think
A lack of price cuts does not mean a lack of savings.
It means that any savings are not visible where a customer looks. Under hourly billing, a task that takes less time either costs the client less or frees the firm to bill other work, and the bill alone cannot tell you which. Our data cannot settle that. Posted prices only tell you what a customer sees, and what a customer sees did not fall.
That makes price history one of the few checkable facts in this market. Claims about productivity are easy to make and hard to verify. A posted price is public and repeatable, and a company can be asked what it charged two years ago. Five of the six cuts we found came with a change in what was being sold, and we couldn't confirm the sixth either way, so even the cuts need a second look.
Investors can use that:
AI may be saving lawyers time, but the prices a person sees have not fallen. Ask any company what it charged two years ago.
- Ask for the price history.
Ask any company serving individuals what its main product cost two years ago and what it costs now, in dollars, for the same package. A company that cannot answer has not measured the one number its customers see.
- Check the package behind every cut.
A cut that comes with a smaller or different product, such as a free entry tier or a dropped bundle, is not savings passed on. Apply the same test to any "we lowered prices" claim in a pitch.
- Ask where the hours went.
Corporate clients cut their cost per hour while firms' rates rose. Savings may arrive through who does the work, not through a lower price on the same work. Ask which one a company is claiming.
- Use price data in your checks before investing.
The government stopped publishing its household index for legal services in 2024. The law-office index, which covers all clients, is the main official gauge left. Our sample is another. Neither is a household price index. Publish what you collect, with its limits.
Section 3
What stands in the way
Rules, distribution, pricing, who pays and proof of quality
Here's the challenge
The need is broad and well measured. A business that serves it at scale has not yet been shown.
In a national survey of 10,058 Americans, 66% had at least one legal problem in four years, and only 49% of those problems were fully resolved, by their own account.18 Among low-income Americans, 92% of the civil legal problems that substantially affected them got no legal help, or not enough.19 In state courts, cases where at least one side has no lawyer rose from 4% in the 1990s to 55%.20 For the person holding the letter, the question is simple: who can help, and what will it cost? What is in doubt is whether a company can serve that need at scale and stay in business. Five things stand in the way.
Among low-income Americans, 92% of the civil legal problems that substantially affected them got no legal help, or not enough.
Source 19
Rules. Most states follow the American Bar Association's Model Rule 5.4, which bars lawyers from sharing legal fees with non-lawyers or practicing in a firm a non-lawyer owns.21 Arizona removed that rule in 2021. Utah opened a regulatory sandbox: a supervised pilot where approved companies may offer legal services the usual rules bar. Since 2022, Arizona's program grew from 19 to 136 entities, while Utah cut its sandbox from 39 to 11. Utah recorded 20 consumer complaints by April 2025, against 117,370 legal services delivered by September 2024, though there is no comparison for traditional practice. In Arizona, 66 of the 136 entities target accident and injury work. And 13 of the 16 owned by investment funds or by firms that finance lawsuits do contingency-fee work, where the lawyer is paid only if the client wins.22 Opening the rules moved capital first toward work that already pays.
Distribution. In Georgia, Google estimates an advertiser would need to bid $100 to $450 a click to top the search results for "car accident attorney," a search people make when hiring a lawyer for a case that pays. For "how to break a lease," a search about an everyday problem, the estimate is 3 to 15 cents.23 These are different kinds of searches, and a click price is not the cost of winning a customer. The gap still suggests the ad market prices a problem by what a lawyer can earn from it, not by how many people need help.
For "how to break a lease," a search about an everyday problem, the estimate is 3 to 15 cents.
Source 23
Pricing. Individuals usually pay out of pocket, one matter at a time, and legal work is still mostly billed by the hour. Of the corporate legal spend Thomson Reuters tracks, 90% is billed hourly.16 About a third of firms are billing more of their work other ways.11
Of the corporate legal spend Thomson Reuters tracks, 90% is billed hourly.
Source 16
Who pays. Other payers have been tried. In a 1994 American Bar Association survey, the most recent national figure we found, 7% of moderate-income families and 4% of low-income families had a legal plan paid for in advance, like insurance.24
In 1994, 7% of moderate-income families and 4% of low-income families had a legal plan paid for in advance.
Source 24
Proof of quality. In February 2025, the Federal Trade Commission finalized an order against DoNotPay, which had claimed its chatbot could replace a human lawyer. The FTC said the company had not tested whether the service performed like a human lawyer. The order required $193,000 in relief and bars claims of lawyer-level performance without evidence.25
The FTC's order required $193,000 in relief and bars claims of lawyer-level performance without evidence.
Source 25
Here's the data
| The barrier | What the data shows | What it means for builders and backers |
|---|---|---|
| Need | 66% of Americans had a legal problem in four years; 49% of problems were fully resolved18. Low-income Americans got no or not enough help for 92% of their substantial civil legal problems19 | Demand isn't the constraint. Serving it profitably is |
| Rules | Arizona: 19 to 136 entities since 2022, and 66 of them target accident and injury work. Utah: 39 to 11 entities, with 20 complaints (to April 2025) against 117,370 services (to September 2024)22 | Reform has drawn capital toward work that already pays. Recorded harm is small; benefit is not yet measured |
| Pricing | 90% of the corporate legal spend Thomson Reuters tracks is billed hourly16; about a third of firms are billing more work other ways11 | Change is under way, from a base where almost everything is hourly |
| Who pays | In 1994, 7% of moderate-income and 4% of low-income families had a prepaid legal plan24 | Payers beyond the individual have been tried for decades and stayed small |
| Proof of quality | The FTC's final order against DoNotPay: $193,000 in relief, and no claims of lawyer-level performance without evidence25 | The FTC has acted against performance claims made without evidence |
None of these barriers is new, and none is permanent. Rules have moved in two states. Clicks for everyday problems are cheap. The open questions are whether a company can price for individuals, find a payer for what they can't cover, and prove its quality, and what evidence investors would need before backing one.
Here's what your peers think
Rules, distribution, pricing, who pays or proof of quality: which one has to change first before a large US company serving individuals can emerge?
What we're looking for: The one you'd put first, and why. We report how many picked each, with the number who answered.
Of 16 who answered
- Who pays
- Distribution
- Proof of quality
- Rules
- Pricing
Distribution. A product can be good and still never reach the person who needs it that week.
Dana WhitcombeVenture Partner, Ironbark Legal VenturesShare this quoteRules. In most states, who may give legal advice is settled before the product is designed, and that shapes everything after.
Lucía MarchettiProfessor of Law, Eastbrook University School of LawShare this quoteA founder building legal help for individuals asks what to prove in year one. What do you tell them?
What we're looking for: Something specific a founder could show, not general advice.
Show me fifty paying customers who came back with a second problem. That tells you more than any demo.
Ravi SoundararajanHead of Strategic Investments, Pellucid Data GroupShare this quoteStart with one common problem and show that the answers are correct. Trust is what everyone else will ask you about.
Deborah Quinlan-ReyesChief Legal Officer, Stonemere Insurance GroupShare this quoteBesides the person with the problem, who could pay for everyday legal help at scale: employers, insurers, governments or someone else? What would make them pay?
What we're looking for: The payer you think is most likely, and what would make it work. We report how many named each, with the number who answered.
Of 12 who answered
- Employers
- Insurers
- Governments
- Someone else
Employers. They already pay for benefits people barely use, and legal trouble is a quiet cause of missed work.
Tomás EcheverríaManaging Director, Larkspur PartnersShare this quoteInsurers, where a fast legal answer lowers their later claim costs. The data would have to show that plainly.
Samuel Adeyemi-ClarkeChief Investment Officer, Tallowmere Claims FinanceShare this quote
Here's what we think
In our view, the barrier is the business model.
The technology exists, and so does the need. The ad data hints at why the model is missing: everyday problems draw bids of a few cents a click, and some draw no bids at all. Cheap clicks look like an opening. They may also be a warning that, under the old model, no one earns much from these problems. That is a hypothesis, and it is the right one to test.
Three things have not yet been shown together: a price individuals will pay, a payer for the problems they cannot cover, and proof of quality a regulator would accept. A click price is not a customer cost, so the real question is what it costs to reach and keep one paying customer.
The pieces to test are visible:
The need is broad and well measured. A company that serves it at scale has not been shown yet, and in our view the barrier is the business model.
- Name the first payer.
For each problem a company targets, ask who pays: the individual, an employer, an insurer, a legal plan or a public program. Legal plans have reached few families, so a company that names its payer for each problem has a better plan than one that assumes someone else will cover it.
- Ask for cost per customer, not cost per click.
Ad bids show what it costs to appear at the top of a search, not what it costs to win a client. Ask for the cost to win a customer, how often customers come back and how often they refer others, by problem.
- Look for the evidence before the claim.
The FTC's order against DoNotPay barred claims of lawyer-level performance without evidence. In our view, publishing how quality is measured is the surest way for a company to earn trust from regulators, partners and customers.
- Read both halves of the rules data.
The reform data shows small recorded harm and a strong tilt toward personal-injury work. Rules differ by state, and the new models there look different from consumer help so far. Match each target problem to a state where the rules allow the model.
Implementation playbook
A 90-day view on legal help for individuals
Many investors call legal help for individuals a large, underserved market. This framework gives an investment team 90 days to test that view against public data and company conversations. A "pass" is a useful result.
Phase 1, Weeks 1-4; Phase 2, Weeks 5-8; Phase 3, Weeks 9-12; Phase 4, Continuous. Day 1 to Day 90.
Phase 1
Map the money, the need and the prices
Goal: a one-page baseline of the market.
Weeks1–4
- Week 1:Sort your portfolio and the companies you are looking at by who pays: firms and businesses, individuals, or both. Use the published list of rounds behind this brief as a comparison set.1
- Week 2:List the everyday problems you want to understand, such as housing, debt, family, immigration and wills, and record how common each is and how often people get help.
- Week 3:Collect posted prices for each problem, today and from archived pages two to four years ago. Set aside any comparison where the package changed.
- Week 4:For each problem and state, record who may legally offer help and which states allow new ownership or delivery models.
Deliverable: a one-page map of funding, need, prices and rules, by problem.
Phase 2
Define the proof
Goal: write down what would make a company worth backing, before you meet any.
Weeks5–8
- Week 5:For each problem, set the money test: the price a person pays against the cost to win them, serve them and keep them.
- Week 6:Set the quality bar: how outcomes are measured, how claims are tested and who is accountable for errors.
- Week 7:List everyone who could pay for each problem, and which of them already buy legal help.
- Week 8:Write a two-page case for or against investing, with the conditions that would make you drop it.
Deliverable: a written thesis with proof points and drop conditions.
Phase 3
Test the thesis
Goal: test the thesis against real companies.
Weeks9–12
- Week 9:Meet at least ten companies: some serving individuals, some serving both, some firm-facing companies that claim consumer benefit.
- Week 10:Check each company's distribution claims against public data, and ask for its cost to win a customer.
- Week 11:Check its quality evidence against your bar, and its price history on the same package.
- Week 12:For each problem area, choose to back now, wait for specific proof, or pass, and record why.
Deliverable: a decision record for each problem area, with the proof that would change it.
Phase 4
Keep it current
Goal: keep the view from going stale.
Continuous
- Quarterly:Re-sort new rounds by who pays, re-collect prices and check rule changes.
- Annually:Compare the thesis with what happened, and publish what you can.
Metrics
Four measures show whether the 90 days worked: where each one starts, where it should be by day 90, and where it should be a year in.
| Metric | Day 1 | Day 90 | Month 12 |
|---|---|---|---|
| Your portfolio and prospects sorted by who pays | Not done | 100% | Re-checked quarterly |
| Target problems with need, price and rules mapped | 0 | Full target list | Refreshed quarterly |
| Companies met, by type | 0 | 10 or more | 25 or more |
| Problem areas with a recorded decision | 0 | Every target area | Revisited against results |
Appendix
Method and data
- 88rounds
- 267like-for-like
- 83set aside
Funding.
Crunchbase
We counted 88 equity rounds of $20 million or more and sorted each company by who pays for its main product.
Of the 88 rounds, 63 cite a company announcement, news story or wire release; 24 cite a deal tracker and one a data aggregator.
Source 1
- Equity rounds of $20 million or more announced from December 1, 2022 through October 27, 2026, worldwide, for companies whose main product is legal software or tech-enabled legal services, as covered by legal-tech trackers or the legal trade press.
- We left out debt and credit lines, acquisitions, private-equity buyouts, rounds we couldn't confirm from a named source, and general wealth-data platforms.
- Each company is classified by who pays for its main product, as the company described it when it raised: law firms, legal teams and other businesses; individuals directly (a law firm that represents individuals counts here); or both, when the company names individuals and businesses as main customers.
- We report the "both" group separately, then count it both ways.
- The three companies with the most money are counted with their earlier rounds, including one company's rounds under a previous name.
- Of the 88 rounds, 63 cite a company announcement, news story or wire release; 24 cite a deal tracker and one a data aggregator.
- Funding is worldwide; the comparisons with spending and prices are US only.
- The reported rounds we couldn't confirm are a $57 million round for Atticus reported by PitchBook, and an $86.1 million figure for Jusbrasil that the company never disclosed (its SEC filing for the same date shows $8.6 million).
Crunchbase's yearly totals count all round sizes under its own rules, so they are not comparable to our count.
A strip from 0 to 4 cents, marking each way of counting in the table below.
Source 1
Table view
| If you count… | Share of dollars |
|---|---|
| Individuals only, minus one borderline company | 0.3% |
| Individuals only | 0.8% |
| Individuals plus companies serving both (the headline) | 3.0% |
| The same, plus one reported round we couldn't confirm | 3.6% |
| If you count… | Share of dollars |
|---|---|
| Individuals only | 0.8% |
| Individuals only, minus one borderline company | 0.3% |
| Individuals plus companies serving both (the headline) | 3.0% |
| The same, plus one reported round we couldn't confirm | 3.6% |
| Excluding the three companies with the most money | 6.5% |
| Rounds of $60 million or more, individuals plus both | 1.8% |
| Rounds of $60 million or more, individuals only | 0% |
Does leaving out rounds under $20 million hide money for individuals?
Smaller rounds don't change the picture: the share stays between about 3 and 4 cents.
- We checked about 180 companies that sell legal help to individuals, and 3,441 SEC filings from companies with a legal word in their name, for rounds of $1 million to under $20 million in the same window.
- We found 21 rounds to companies serving individuals, about $131 million in all.
- Adding them, with an estimated $1.2 billion to $3.4 billion for all legal-tech rounds that size, keeps the share between about 3 and 4 cents.
- We left out two companies outside legal tech: Turnout, a borderline case that raised $56 million to help people claim disability and veterans benefits, and Empathy, which sells bereavement support to employers.26
Paid databases such as Crunchbase and PitchBook would find more, but nothing we found suggests a hidden wave of consumer funding.
| Biggest rounds under $20 million | Serves | Amount |
|---|---|---|
| Alma, immigration (Series A, 2026) | Individuals and businesses | $17 million |
| Trust & Will, wills (2023) | Individuals | $15 million |
| Lawhive, legal services (seed, 2024) | Individuals and businesses | $11.8 million |
| Safewill, wills, Australia (Series B, 2024) | Individuals | $11.1 million |
| Chariot Claims, consumer claims (Series A, 2026) | Individuals | $10 million |
| Rasa Legal, record clearing (2026) | Individuals | $9 million |
| All 16 rounds to companies serving only individuals | $90 million | |
| All 5 rounds to companies serving both | $40 million | |
| All 21 rounds | $131 million |
Who pays for legal services.
2022 Economic CensusBureau of Economic Analysis
Households and individuals pay about a quarter of what US law offices take in: 25.2% in 2022, against 25.4% in 2017.
- Household consumers and individuals25.2%about $88 billion (25.2% × $350.7 billion)
- Business firms and farms69.7%
- Other5.1%
201725.4%
202225.2%
2022 Economic Census
Law-office revenue from households and individuals
25.2%of $350.7 billion in receipts
Bureau of Economic Analysis
What households spend on legal services
$159.2 billion2025
The two measures use different methods, and we don't combine them.
- The 25.2% comes from the 2022 Economic Census (the Census Bureau's count of US businesses every five years), offices of lawyers (code NAICS 54111), establishments subject to federal income tax: "household consumers and individuals" 25.2%, "business firms and farms" 69.7%, of $350.7 billion in receipts.
- The 2017 figure was 25.4%.
- Individuals include personal-injury clients.
- The $159.2 billion is the Bureau of Economic Analysis's 2025 figure for what households spend on legal services.
Comparison with fintech.
PitchBook
Consumer fintech companies drew about 42 cents of every venture dollar in 2025. Legal tech companies serving individuals drew about 3 cents.
Venture dollars that went to consumers, per $1
- PitchBook reports that business-facing fintech took 58.3% of fintech venture deal value in 2025.
- Our legal count covers rounds of $20 million or more.
The consumer share of about 42% is our subtraction.
PitchBook counts all round sizes, and three large consumer rounds late in 2025 lifted the consumer share.
AI time savings.
randomized trials
In two randomized trials, AI cut law students' time on realistic tasks by roughly a fifth: 19% to 22%.
Time saved on the task, three averages from two trials
- The 19% to 22% are three averages from two randomized trials with law students: about 22% for GPT-4 (60 students, four tasks) and 21% for Vincent AI and 19% for o1-preview (127 students, six tasks).
The tasks were set by the researchers, and the participants were not practicing lawyers.
Need.
Legal Services Corporation
Two in three Americans had a legal problem in four years, and only about half of those problems were fully resolved.
- 66of 100had a legal problem in four years
- 49%of thosefully resolved, by their own account (about 32 of the 66)
- 34 had none
- The 92% comes from the Legal Services Corporation's 2022 study of low-income Americans.
The 66% and 49% come from a 2021 national survey of 10,058 people (fielded in 2020); "resolved" is the respondents' own judgment.
Prices.
We matched 267 posted prices, the same service at the same provider in 2022 and October 2026, and set aside 83 comparisons where the package changed or we couldn't confirm it hadn't.
267 like-for-like and 83 set-aside comparisons, 350 in all.
Source 4
- A matched price is the same named service at the same provider, with the same inclusions, on an archived page from 2022 and the live page on October 9, 2026.
- Government filing fees are excluded.
- We set a comparison aside when the package changed or when we couldn't confirm it hadn't, which left 267 like-for-like prices and 83 set aside.
- The typical change is the median.
- Inflation is the change in the consumer price index from October 2022, the last full month before ChatGPT launched, to August 2026.
- Matching each price to its own starting month gives the same count of prices that beat inflation.
- We re-checked 15 randomly chosen rows against their archived and live pages, and all 15 matched.
- The one like-for-like cut comes from a company that also appears in our funding count among those serving individuals.
- The government price indexes use the same October 2022 to August 2026 window.
A posted price is what a provider advertises, not what every client pays.
Search data.
Google Ads Keyword Planner
In Georgia, a click on an everyday problem like "how to break a lease" costs an advertiser a few cents. A click on "car accident attorney" costs $100 to $450.
Estimated top-of-page bid per click, Georgia (log scale: each step is 10 times the last)
- A top-of-page bid is Google's estimate of what an advertiser pays per click to appear at the top of search results.
- Figures come from Google Ads Keyword Planner, Google's tool for estimating ad prices, pulled October 20, 2026, for Georgia.
It is not a price paid.
Volumes are rounded by Google, and "no bid estimate" usually means few advertisers compete.
Interviews.
The investors and legal leaders in this brief answer the same core questions, and each approves every quote before it is published.
- The investors and legal leaders featured were chosen for their role in funding or building legal services.
- Each answers the same core questions by call or in writing and approves every quote before publication.
They are a small group, not a survey.
Who paid for this.
Legal Price Check
Scribe Smart Inc., which works in the market this brief covers, commissioned it. Just Badge, Inc. researched and published it.
- Scribe Smart Inc., which works in the market this brief covers, commissioned this brief.
- Just Badge, Inc. researched and published it.
- The price data comes from the Legal Price Check, a 2026 study by Kyle Moore Law, corrected for this brief as described above; Kyle Moore co-founded Scribe Smart Inc.
- The search data was pulled through Kyle Moore Law's Google Ads account; the account does not change Google's estimates.
Published December 2026 by Just Badge, Inc. Commissioned by Scribe Smart Inc. Data as of October 27, 2026.
Appendix: Sources
Each numbered note links to its source, in the order it first appears. Sources were read October 27, 2026.
- The 88 legal-tech rounds of $20 million or more, December 1, 2022 to October 27, 2026, with a source for each round.data file↓
- U.S. Census Bureau, 2022 Economic Census, class of customer, offices of lawyers.EC2200CLCUST↗
- Schwarcz and others, "AI-Powered Lawyering: AI Reasoning Models, Retrieval Augmented Generation, and the Future of Legal Practice," 2025, a randomized trial with 127 law students.PDF↗Choi, Monahan and Schwarcz, "Lawyering in the Age of Artificial Intelligence," 109 Minnesota Law Review 147 (2024), with 60 law studentsarticle↗
- The price data: 267 like-for-like and 83 set-aside comparisons, with archive and live links.data file↓
- Crunchbase News, "Sector Snapshot: Legal Tech Funding Down Slightly From All-Time High," August 26, 2026.article↗
- Harvey, $550 million round, September 9, 2026.announcement↗
- TechCrunch, Legora $550 million Series E, October 21, 2026.article↗
- U.S. Census Bureau, Economic Census class-of-customer files for offices of lawyers.2022↗(25.2%) and2017↗(25.4%)
- PitchBook, Fintech VC Trends, Q4 2025 (preview).PDF↗
- Bureau of Economic Analysis via FRED, personal consumption expenditures on legal services.series DGALRC1A027NBEA↗
- Thomson Reuters, Future of Professionals Report 2025.PDF↗
- Clio, Legal Trends Report.report page↗
- U.S. Bureau of Labor Statistics, Producer Price Index.offices of lawyers↗andoffices of lawyers, wills and estates↗
- U.S. Bureau of Labor Statistics, Consumer Price Index, legal services; Bureau of Economic Analysis, on the legal-services price series.
- Association of Corporate Counsel and Everlaw, "Generative AI's Growing Strategic Value for Corporate Law Departments," October 2025.PDF↗
- Thomson Reuters, 2026 Report on the State of the US Legal Market.PDF↗
- U.S. Bureau of Labor Statistics, Consumer Price Index, all items.series CUUR0000SA0↗
- IAALS and HiiL, "Justice Needs and Satisfaction in the United States of America," 2021.PDF↗
- Legal Services Corporation, "The Justice Gap," 2022.executive summary↗
- National Center for State Courts, Trends in State Courts 2025.PDF↗
- American Bar Association, Model Rule 5.4, Professional Independence of a Lawyer.rule text↗
- Stanford Law School, Rhode Center, "Legal Innovation After Reform: Five Years of Data on Regulatory Change," June 2, 2025.summary↗andfull report↗
- Google Ads Keyword Planner, top-of-page bid estimates for Georgia, pulled October 20, 2026.
- Nora Freeman Engstrom, "Legal Insurance and Its Limits," Michigan Law Review, 2025, citing the 1994 ABA legal needs survey.article↗
- Federal Trade Commission, final order against DoNotPay, February 2025.press release↗
- The 21 rounds of $1 million to under $20 million, December 1, 2022 to October 27, 2026, to companies serving individuals, with a source for each round.data file↓The estimate for all legal-tech rounds that size comes from Crunchbase, PitchBook, Law360 and Legalcomplex totals less our own count