New Data: Businesses draft legal documents with AI and seek professional review

A new survey of 304 startup workers and business developers reveal how they use AI to produce legal documents and seek professional verification.

DoubleCheck Market Research · August 2026

Key stats: 83% of those who use AI for legal drafting would pay for professional review. 70% draft with AI at least weekly. 90% are worried about document accuracy.

Key findings

  • Legal ranks #1 for willingness to pay for review compared to accounting, financial modeling, etc.
  • 70% of business who generate AI legal documents do so at least once a week.
  • 83% of those who use AI for legal drafting would pay for professional review.
  • The typical business would pay $120 per document review.

Key findings continued

  1. Almost 1 in 4 would pay $400 or more for a single document review (23 of 99).
  2. 44% have never paid for review but would consider it (44 of 99).
  3. Cost is the top barrier: 45 of 99 name it, and only 10 say they always get review.
  4. 83% of legal-document selectors would pay for review in that area; tax is 79%, accounting is 75%.
  5. Median willingness is $125 across all 99 retained completes.
  6. 74% of legal-document selectors also picked finance or HR (73 of 99).
  7. 31% have already paid for attorney review at least once (31 of 99); 9 more tried but could not find a good option.

Executive summary

AI is now a core part of how businesses generate internal documents. Next to accounting, financial modeling, and HR & employment, legal is one of the top purposes for AI use. 70% of those who generate AI legal documents do so at least once a week. The most common documents are contractor and freelance agreements, employment and offer letters, vendor agreements, NDAs, and privacy policies.

Yet businesses are worried about the accuracy of these documents. 90% of respondents expressed some level of concern about errors in AI-generated legal documents. Just under a third have already purchased an attorney review of AI-drafted work at least once, 44% never have but would consider it, and 9% went looking and could not find a workable option.

Attorneys have a significant opportunity in AI-document review. Compared to all other kinds of AI business documents, businesses express the highest willingness to pay for professional review of legal documents at 83%, outranking accounting at 75% and tax filings at 79%. While cost remains the biggest barrier to seeking such services, the median willingness to pay is $125 per document review.

Methodology

Two waves of survey data fielded through one panel provider.

Panel provider — Prolific

Field dates — Wave 1, general sample: 18–28 July 2026 (144 entrants). Wave 2, startup-only sample: 28 July – 21 August 2026 (160 entrants).

Screener question — “Which of these areas have you or your company used AI to generate documents? (select all that apply)” Respondents whose answer included Legal documents continued into the full survey.

Screen-out compensation — $0.14 per screened-out respondent

Sample — 304 entrants. 193 were screened out and compensated and 7 abandoned during the screener itself. The remaining 104 all selected legal documents and completed the full survey, of which 99 were retained after 5 were rejected on answer quality. Respondents identified as business developers or business executives, startup workers, or startup founders and entrepreneurs.

Median duration — 3 minutes 50 seconds among retained completes; 53 seconds across all entrants, most of whom were screened out inside a minute.

01. Adoption: AI has become the norm for internal document creation

What businesses use AI for

Respondents were screened on which areas their company uses AI to generate documents in, then asked which of those areas they would pay a qualified expert to verify. Legal documents were identified as having the strongest “would pay for review” conversion rate out of all areas.

83% of legal-document selectors would pay a qualified expert to verify that work, the highest conversion of any area.

Radar chart comparing areas where businesses generate AI documents against willingness to pay a qualified expert to verify each area. Legal documents show the highest conversion at 83%.

Table of areas by number who use AI there, number who would pay for verification, and share of that area’s users: Financial models 124, 85, 69%; HR policies 122, 70, 57%; Accounting 114, 85, 75%; Legal documents 104, 86, 83%; Regulatory 82, 62, 76%; Tax filings 52, 41, 79%.

What is being drafted

Among respondents who continued into the full survey, the most common AI-drafted legal documents are the high-volume agreements a growing company produces repeatedly.

Contractor and freelance agreements are the most common AI-drafted legal document, at 57%.

Bar chart of AI-drafted legal document types: contractor or freelance agreements 57%, employment agreements or offer letters 51%, service or vendor agreements 51%, NDAs 49%, privacy policies or website terms of service 47%, regulatory or compliance documents 36%, incorporation documents 26%, dispute or demand letters 26%, IP documents 23%, equity documents 15%, other 4%. n = 99, multiple selections permitted.

How often

AI is being used at a consistent rate within growing companies, becoming intertwined within the document creation process.

70% of teams draft legal-weight documents with AI at least weekly.

Bar chart of how often teams draft legal documents with AI: multiple times a day 24%, daily 15%, weekly 30%, monthly 25%, rarely 5%. n = 99.

02. Review barriers: Most of this work reaches use without a lawyer

What happens before the document is used

Respondents were asked about the most recent AI-drafted legal document their company actually relied on. Fewer than one in four had it reviewed by an outside attorney.

Half relied on their most recent AI-drafted legal document with no attorney involved.

Bar chart of what happened with the most recent AI-drafted legal document: reviewed it ourselves (non-lawyer) 45%, in-house counsel reviewed it 27%, paid an outside attorney to review it 22%, used it as-is with no review 5%. n = 99.

Companies are worried about AI-generated accuracy

The same respondents report widespread unease about the documents they are relying on. Only 10 of 99 are untroubled.

89 of 99 report some level of concern about errors in the documents they rely on.

Bar chart of concern about errors in AI-generated legal documents: extremely worried 11%, very worried 16%, somewhat worried 30%, slightly worried 32%, not at all worried 10%. n = 99.

What stops them

Asked what most prevents them from seeking attorney review today, cost leads by a wide margin.

Only 10 of 99 say they always obtain review today, a contrast from 83% of respondents saying they would be willing to pay for review.

Bar chart of barriers to seeking attorney review: cost 45%, documents too small to justify it 18%, turnaround time 12%, nothing we always get review 10%, we don’t need review 6%, unable to find a suitable attorney 6%, other 2%. n = 99, single choice.

03. Demand: Companies are already seeking review

Whether they have ever paid

Just under a third of the market has already bought this service, while the largest group says it would consider it.

44% have never paid for review but would consider it. A further 9% tried to buy and could not find a good option.

Bar chart of whether companies have ever paid for attorney review of AI-drafted documents: no but would consider it 44%, yes paid for review 31%, no never needed it 15%, tried but couldn’t find a good option 9%. n = 99, single choice.

What a review is worth

Respondents named the most their company would pay for a licensed attorney to review one AI-generated document and return a memo flagging issues.

Median willingness to pay is $125 across all retained completes.

Bar chart of the most companies would pay for one document review: under $50 19%, $50-99 18%, $100-199 17%, $200-299 15%, $300-499 9%, $500-999 11%, $1,000-1,999 4%, $2,000+ 6%. n = 99, all named a figure, none coded zero.

Who pays the most

Six respondents named $2,000 or more. The highest figures came from company heads in data and development.

Profiles of the highest bidders with quoted roles and the most they would pay, ranging from $2,000 to $11,000.

Screened-out demand

Respondents who did not qualify for the full survey were still asked which areas they would pay a qualified expert to verify. 128 of 193 named at least one.

Two thirds of screened-out respondents named at least one area they would pay to have verified.

Bar chart of areas screened-out respondents would pay to have verified: financial models or investor materials 27%, HR policies and employment compliance 24%, accounting and bookkeeping 22%, regulatory or data compliance 16%, tax filings 9%. n = 193 screened-out respondents.

The funnel

The study screened widely and paid for every screen-out, which is what makes the qualified sample a qualified one.

304 entrants produced 99 retained completes and 193 compensated screen-outs.

Funnel chart: 304 entrants, 193 screened out and compensated, 7 abandoned during the screener, 104 completed the full survey, 99 retained after data-quality review.

Commissioned by DoubleCheck Legal, fielded by Prolific.

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