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.
What's Included
AI-Powered Questions
Intelligent follow-up questions based on responses
Automated Analysis
Real-time sentiment and insight detection
Smart Distribution
Target the right audience automatically
Detailed Reports
Comprehensive insights and recommendations
Template Overview
25
Questions
AI-Powered
Smart Analysis
Ready-to-Use
Launch in Minutes
This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.
Sample Survey Items
Q1
Chat Message
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: 5–7 minutes.
Q2
Multiple Choice
Does your current role involve reviewing, drafting, or redlining contracts?
Yes
No
Q3
Dropdown
How many contracts have you personally reviewed or redlined in the last 3 months?
0
1–5
6–20
21–50
51+
Q4
Opinion Scale
How familiar are you with AI tools for contract review?
Range: 1 – 7
Min: Not at all familiarMid: NeutralMax: Extremely familiar
Q5
Multiple Choice
In the last 6 months, have you used AI to assist with contract review or redlines?
Yes
No
Q6
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)
Q7
Opinion Scale
Based on your experience using AI for contract review, how satisfied are you with the AI assistance you received?
Range: 1 – 7
Min: Not at all satisfiedMid: NeutralMax: Extremely satisfied
Q8
Opinion Scale
How likely are you to continue using AI tools for contract review in the next 12 months?
Range: 1 – 7
Min: Not at all likelyMid: NeutralMax: Extremely likely
Q9
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)
Q10
Opinion Scale
How acceptable is it for your team to use AI to assist with contract redlines?
Range: 1 – 7
Min: Not at all acceptableMid: NeutralMax: Completely acceptable
Q11
Opinion Scale
How much would you support AI drafting initial redlines for standard/boilerplate clauses?
Range: 1 – 7
Min: Strongly opposeMid: NeutralMax: Strongly support
Q12
Opinion Scale
How much would you support AI flagging non-standard or high-risk terms for human review?
Range: 1 – 7
Min: Strongly opposeMid: NeutralMax: Strongly support
Q13
Opinion Scale
How much would you support AI automatically applying playbook-aligned redlines without human pre-approval?
Range: 1 – 7
Min: Strongly opposeMid: NeutralMax: Strongly support
Q14
Opinion Scale
How much would you support AI summarizing counterparty changes and generating comparison reports?
Range: 1 – 7
Min: Strongly opposeMid: NeutralMax: Strongly support
Q15
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)
Q16
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)
Q17
Long Text
Based on your responses in this survey, please share any additional thoughts or feelings about AI in your contract review workflow.
Max chars
Q18
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.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 7
Q19
Dropdown
What is your primary role?
In-house counsel
Law firm attorney
Contract manager/paralegal
Procurement/sourcing
Legal operations
Other (please specify)
Q20
Dropdown
How many years have you worked with contracts or practiced law?
0–1
2–5
6–10
11–20
21+
Q21
Dropdown
Which best describes your organization type?
Company/in-house legal
Law firm
Alternative legal service provider
Government/public sector
Nonprofit/NGO
Other
Q22
Dropdown
Approximately how many employees does your organization have?
1–49
50–249
250–999
1,000–4,999
5,000+
Q23
Dropdown
In which region are you primarily based?
North America
Europe
Asia-Pacific
Latin America
Middle East & Africa
Q24
Dropdown
Which contract domain represents most of your work?
Commercial/Sales
Procurement/Vendor
Corporate/Transactions
Privacy/Data protection
Intellectual property
Employment
Other
Q25
Chat 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.
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