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.
設問の例
テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。
Does your current role involve reviewing, drafting, or redlining contracts?
- Yes
- No
How many contracts have you personally reviewed or redlined in the last 3 months?
- 0
- 1–5
- 6–20
- 21–50
- 51+
In the last 6 months, have you used AI to assist with contract review or redlines?
- Yes
- No
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)
How acceptable is it for your team to use AI to assist with contract redlines?
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)
Based on your responses in this survey, please share any additional thoughts or feelings about AI in your contract review workflow.
What is your primary role?
- In-house counsel
- Law firm attorney
- Contract manager/paralegal
- Procurement/sourcing
- Legal operations
- Other (please specify)
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.
How familiar are you with AI tools for contract review?
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)
How much would you support AI drafting initial redlines for standard/boilerplate clauses?
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)
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.
How many years have you worked with contracts or practiced law?
- 0–1
- 2–5
- 6–10
- 11–20
- 21+
Based on your experience using AI for contract review, how satisfied are you with the AI assistance you received?
How much would you support AI flagging non-standard or high-risk terms for human review?
Which best describes your organization type?
- Company/in-house legal
- Law firm
- Alternative legal service provider
- Government/public sector
- Nonprofit/NGO
- Other
How likely are you to continue using AI tools for contract review in the next 12 months?
How much would you support AI automatically applying playbook-aligned redlines without human pre-approval?
Approximately how many employees does your organization have?
- 1–49
- 50–249
- 250–999
- 1,000–4,999
- 5,000+
How much would you support AI summarizing counterparty changes and generating comparison reports?
In which region are you primarily based?
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East & Africa
Which contract domain represents most of your work?
- Commercial/Sales
- Procurement/Vendor
- Corporate/Transactions
- Privacy/Data protection
- Intellectual property
- Employment
- Other
含まれる機能
AIによる深掘り
自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。
注意確認設問
急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。
AIが作成する設問文
文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。
自動レポート
回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。
他ツールとの比較
ほかのアンケートツールで最も近いテンプレートを調べました。それぞれの優れている点と、このテンプレートがさらに踏み込んでいる点をまとめています。
このテンプレートを選ぶ理由
- 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.
優れている点
- 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
物足りない点
- 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
よくあるご質問
「AI Contract Review & Redlining Adoption Survey」テンプレートにはどのような設問が含まれていますか?
すぐに使える設問が25問含まれており、最初の設問は次のとおりです:「Welcome and thank you for participating in this survey about contract-review practices and AI tools. This survey is volu…」・「Does your current role involve reviewing, drafting, or redlining contracts?」・「How many contracts have you personally reviewed or redlined in the last 3 months?」。すべての設問は上でプレビューでき、自由に編集できます。
このアンケートの回答にはどのくらい時間がかかりますか?
回答者は通常、25問を約11分で回答し終えます。
テンプレートは編集できますか?
はい。公開前であれば、すべての設問、選択肢、順序を編集できます。設問の追加や削除のほか、調査の目的に合わせた作り直しをAIエディターに依頼することもできます。
このテンプレートは無料で使えますか?
はい。エディターで開けば、すぐに編集を始められます。お試しにアカウントは不要で、無料プランでアンケートを公開できます。
公開の準備はできましたか?
このテンプレートをエディターで開いてみてください。最初の回答者が目にする前に、すべてを自由に変更できます。
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