How much does AI cost for law firms and legal teams?
The typical AI build for law firms and legal teams costs $3,000, and half of 334 priced posts fall between $740 and $8,000. That ranks 11th of 36 industries on median cost.
What stands out
Legal builds put confidentiality first. Privileged documents need strict access controls, answers need citations, and a lawyer stays responsible for anything sent to a client or court.
- Demand leans towards document extraction: 3.8% of posts here against 1.0% across industries.
- Compliance comes up in 16.0% of posts, 2.3 times the usual share, so plan for it in scope and budget.
- Buyers here ask for evaluation or guardrails in 12.6% of posts, more than most sectors.
- The median build in legal is $3,000, 1.2 times the $2,500 market median.
How Legal ranks
How legal ranks
Each tick is a ranked industry, lowest on the left. Pink is this one.
- Posts459#13 of 36
- Median cost$3,000#11 of 36
- Hourly rate$30/hr#5 of 36
- Applicants15#4 of 36
- Expert requests44%#8 of 36
- Compliance16.0%#4 of 36
- Production17.4%#14 of 36
- Seasoned buyers48%#3 of 36
- Momentum-12%#16 of 24
What a build costs
Half of priced posts fall between $740 and $8,000, and one in ten reaches $15,840.
Against the closest sectors
Median build for Legal and the sectors nearest in price.
- Healthcare$4,000
- Science and biotech$4,000
- Recruiting and HR$3,100
- Legal$3,000
- Financial services$3,000
- Fitness and wellness$2,900
- Government$2,650
How buyers structure the work
Fixed-price and hourly posts, by count.
$500median fixed budget
$6,200median hourly estimate
Posted rates: $21.75/hr to $42.50/hr, median $30/hr.
What is being built
Compared with other sectors, this shows what is distinctive here, not only what is common.
Most requested builds
Share of posts here against all sectors.
- AI SaaS and MVPs21.9%
- Back-office automation17.9%
- RAG and document search7.0%
- Make and Zapier7.0%
- n8n workflows5.1%
- Custom agents4.9%
- Document extraction3.8%
- Voice agents3.6%
See the numbers
| Build | Posts | Share here | Across industries |
|---|---|---|---|
| AI SaaS and MVPs | 103 | 21.9% | 21.4% |
| Back-office automation | 84 | 17.9% | 14.2% |
| RAG and document search | 33 | 7.0% | 2.3% |
| Make and Zapier | 33 | 7.0% | 3.9% |
| n8n workflows | 24 | 5.1% | 6.2% |
| Custom agents | 23 | 4.9% | 7.3% |
| Document extraction | 18 | 3.8% | 1.0% |
| Voice agents | 17 | 3.6% | 2.8% |
| CRM automation | 16 | 3.4% | 4.6% |
| API integrations | 16 | 3.4% | 5.4% |
| SEO content | 11 | 2.3% | 1.7% |
| Email automation | 7 | 1.5% | 1.6% |
| Support chatbots | 7 | 1.5% | 3.3% |
| AI scraping | 6 | 1.3% | 0.6% |
| Text to SQL | 5 | 1.1% | 1.3% |
Most distinctive here
How many times the usual share.
Tools and scope
What buyers name shows the systems a build has to work with and how close it is to production.
Tools and systems named
Share of posts. Names under five posts are hidden.
- “Agent”8.5%
- AWS7.4%
- Claude6.8%
- GoHighLevel5.1%
- n8n5.0%
- Google Sheets4.7%
- Twilio3.4%
- HubSpot3.0%
- WhatsApp2.8%
How serious the scope is
Share of descriptions asking for each.
- Production17.4%
- Evaluation or guardrails12.6%
- Compliance16.0%
- Security13.6%
Where the buyers are
Buyers around the world
Countries with five or more posts. Click a country to open it.
Top countries
Share of this sector's posts.
- United States63.6%
- Canada5.3%
- United Kingdom4.5%
- India3.4%
- Australia3.4%
- Germany1.7%
- Saudi Arabia1.7%
- Pakistan1.5%
If you are buying
Plan around the range
Half of priced posts fall between $740 and $8,000, and one in ten reaches $15,840. Scope decides where you land.
Start where peers start
After general products and back-office work, RAG and document search is the most common request here. A narrow first build lets you prove value before you widen scope.
Budget for compliance early
16.0% of posts here name a compliance need. Ask who is responsible for it before you compare prices.
Compare with similar sectors
Similar demand
Also in regulated and public
Price your own build
See the median, range and scope for your use case. If you would rather talk it through, VIZIO AI builds and runs these systems.
Questions
How much does an AI build cost for law firms and legal teams?
The median across 334 priced posts is $3,000. Half fall between $740 and $8,000, and one in ten reaches $15,840 or more. That ranks 11th of 36 industries on median cost.
What are law firms and legal teams building with AI?
The most common requests are AI SaaS and MVPs, back-office automation, RAG and document search.
What do AI developers charge in legal?
Posted rates centre on $30 an hour, with most between $21.75 and $42.50. These are open-market rates; agencies usually charge more.
Where are the buyers in legal?
The United States is the largest market, with 64% of posts.
How do you decide a post's industry?
From the post title where it names a sector, otherwise from the buyer's stated industry. About 45% of posts can be placed, so this describes those posts, not every buyer in the sector.
How to read this
A post's industry comes from its title where that names a sector, otherwise from the buyer's stated industry. About 45% of posts can be placed. Figures come from public job posts from December 2025 to November 2026 and show what posts offered, not what was paid. Hourly posts are estimated from rate, length and workload. Industries need 30 priced posts to be ranked, and are left out of rankings when one account makes up over a quarter of posts. Counts under 5 are hidden. Momentum compares January to March with May to July, before collection widened, and is left out where one account is over 12% of posts. Read the method
Cite this page. The AI Build Index. "How much does AI cost for law firms and legal teams?" Published by VIZIO AI. Updated 2026-11-04. https://aibuildindex.com/industries/legal
Get the data as JSON or the page as Markdown. See all industries.
| Measure | Value | Rank |
|---|---|---|
| AI build posts | 459 | 13 of 36 |
| Median build cost | $3,000 | 11 of 36 |
| Median hourly rate | $30/hr | 5 of 36 |
| Applicants per post | 15 | 4 of 36 |
| Expert-level requests | 44% | 8 of 36 |
| Compliance named | 16.0% | 4 of 36 |
| Production named | 17.4% | 14 of 36 |
| Buyers with $10k+ past spend | 48% | 3 of 36 |
| Change in share of posts | -12% | 16 of 24 |