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AI Contract Review & Redlining Adoption Survey
Measures legal professionals' adoption levels, satisfaction, barriers, and safeguard requirements for AI-assisted contract review and redlining. Designed for legal operations, in-house teams, and law firm practitioners.
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AI Contract Review & Redlining Adoption Survey
Welcome and thank you for participating in this survey about contract-review practices and AI tools. This survey is voluntary and confidential — you may stop at any time. There are no right or wrong answers; we are interested in your honest opinions and experiences from the last 3–6 months. Your responses will be anonymized and reported only in aggregate for internal research purposes. Estimated time: 11 minutes.
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Sample questions
A preview of what’s in the template. Every question is editable before you launch.
23 questions · ~11 min
Q01
Multiple Choice
Does your current role involve reviewing, drafting, or redlining contracts?
- Yes
- No
Q02
Dropdown
How many contracts have you personally reviewed or redlined in the last 3 months?
- 0
- 1–5
- 6–20
- 21–50
- 51+
Q03
Opinion Scale
How familiar are you with AI tools for contract review?
Scale: 1 – 7
Min:Not at all familiarMax:Extremely familiar
Q04
Multiple Choice
In the last 6 months, have you used AI to assist with contract review or redlines?
- Yes
- No
Q05
Multiple Choice
Which AI-assisted capabilities have you used for contract work in the last 6 months? Select all that apply.
- Clause extraction
- Risk/issue flagging
- Drafting suggested redlines
- Playbook/policy alignment checks
- Summarizing changes
- Document triage or routing
- Tested in pilots only (not live matters)
- Other (please specify)
Q06
Opinion Scale
Based on your experience using AI for contract review, how satisfied are you with the AI assistance you received?
Scale: 1 – 7
Min:Not at all satisfiedMax:Extremely satisfied
Q07
Opinion Scale
How likely are you to continue using AI tools for contract review in the next 12 months?
Scale: 1 – 7
Min:Not at all likelyMax:Extremely likely
Q08
Multiple Choice
What are the biggest barriers preventing you from using AI for contract review? Please select up to 3.
- Data privacy/confidentiality risks
- Quality/accuracy concerns
- Lack of approval from leadership/IT
- Client or counterparty restrictions
- Cost/budget constraints
- Unclear ROI or metrics
- Ethical or professional responsibility concerns
- Other (please specify)
Q09
Opinion Scale
How acceptable is it for your team to use AI to assist with contract redlines?
Scale: 1 – 7
Min:Not at all acceptableMax:Completely acceptable
Q10
Opinion Scale
How much would you support AI drafting initial redlines for standard/boilerplate clauses?
Scale: 1 – 7
Min:Strongly opposeMax:Strongly support
Q11
Opinion Scale
How much would you support AI flagging non-standard or high-risk terms for human review?
Scale: 1 – 7
Min:Strongly opposeMax:Strongly support
Q12
Opinion Scale
How much would you support AI automatically applying playbook-aligned redlines without human pre-approval?
Scale: 1 – 7
Min:Strongly opposeMax:Strongly support
Q13
Opinion Scale
How much would you support AI summarizing counterparty changes and generating comparison reports?
Scale: 1 – 7
Min:Strongly opposeMax:Strongly support
Q14
Multiple Choice
Which safeguards would you require before adopting AI for contract redlines? Select all that apply.
- Data residency and confidentiality controls
- Clear audit trail of AI changes
- Explainable outputs with citations
- Alignment with our playbooks/policy
- Human-in-the-loop approval workflow
- Vendor security certifications (e.g., ISO/SOC 2)
- Indemnity or liability terms
- Cost controls and usage limits
- Ability to disable training on our data
- Integration with DMS/CLM
- Other (please specify)
Q15
Dropdown
What minimum accuracy rate would you require before allowing AI to auto-apply standard redlines?
- Below 85%
- 85–89%
- 90–94%
- 95–97%
- 98–99%
- 100% (no errors acceptable)
Q16
Long Text
Based on your responses in this survey, please share any additional thoughts or feelings about AI in your contract review workflow.
Q17
AI Interview
We'd like to explore your thoughts on AI in contract review a bit further. An AI moderator will ask a couple of follow-up questions based on your earlier responses.
Q18
Dropdown
What is your primary role?
- In-house counsel
- Law firm attorney
- Contract manager/paralegal
- Procurement/sourcing
- Legal operations
- Other (please specify)
Q19
Dropdown
How many years have you worked with contracts or practiced law?
- 0–1
- 2–5
- 6–10
- 11–20
- 21+
Q20
Dropdown
Which best describes your organization type?
- Company/in-house legal
- Law firm
- Alternative legal service provider
- Government/public sector
- Nonprofit/NGO
- Other
Q21
Dropdown
Approximately how many employees does your organization have?
- 1–49
- 50–249
- 250–999
- 1,000–4,999
- 5,000+
Q22
Dropdown
In which region are you primarily based?
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East & Africa
Q23
Dropdown
Which contract domain represents most of your work?
- Commercial/Sales
- Procurement/Vendor
- Corporate/Transactions
- Privacy/Data protection
- Intellectual property
- Employment
- Other
Message
Thank you for completing this survey! Your insights will help shape how AI tools are developed and adopted for contract review. Your responses are confidential and will be reported only in aggregate.
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Combines closed-ended adoption metrics (usage frequency, familiarity, satisfaction, likelihood to continue) with an AI follow-up interview that lets respondents elaborate in their own words on AI in contract review
- Goes beyond a single satisfaction score by measuring support levels for specific AI use cases separately — drafting boilerplate redlines, flagging high-risk terms, auto-applying playbook redlines, and summarizing counterparty changes
- Captures concrete adoption barriers and required safeguards (including a minimum accuracy threshold before AI can auto-apply redlines), giving legal ops teams actionable guardrail data, not just sentiment
- Segments results by role, experience, organization type, size, region, and contract domain so findings can be cut by practice area or seniority, then rolled into an auto-generated report
Jotform
Contract Review Form TemplateThis is a static intake/request form for routing a contract to a reviewer, not a research survey measuring AI adoption, satisfaction, or safeguard preferences. It's useful for operational contract workflows but doesn't collect attitudinal or adoption data at all. Fielding-ready as a form, but it isn't designed to study perceptions of AI-assisted review.
What it does well
- Purpose-built for the contract domain, so field labels and workflow match legal document intake
- Drag-and-drop customization typical of Jotform's form builder
- Likely integrates with e-signature and file upload fields common to contract handling
Where it falls short
- No adaptive AI follow-up interviewing or voice interview option to probe why respondents feel a certain way
- Not designed to measure adoption levels, barriers, or safeguard requirements — it's a routing form, not a research instrument
- No automated response quality scoring or auto-generated analysis report
Frequently asked questions
What questions are in the “AI Contract Review & Redlining Adoption Survey” template?
The template includes 23 ready-to-use questions, starting with: “Does your current role involve reviewing, drafting, or redlining contracts?” · “How many contracts have you personally reviewed or redlined in the last 3 months?” · “How familiar are you with AI tools for contract review?”. The full set is previewed above, and every question is editable.
How long does this survey take to complete?
Respondents typically finish the 23 questions in about 11 minutes.
Can I customize this template?
Yes — every question, answer option, and the ordering is editable before you launch. You can add or remove questions, or ask the AI editor to rework the survey around your research goal.
Is this template free to use?
Yes. Open it in the editor and start customizing right away — no account required to try it, and the free plan covers launching your survey.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
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