Legal Prompt Examples
AI prompts designed for legal professionals — contract review, due diligence, compliance analysis, and legal research. Always use with professional legal judgment.
Contract Review and Risk Identification Prompt
intermediateA comprehensive prompt for reviewing commercial contracts that identifies key clauses, flags risks, and highlights terms that deviate from standard market practice.
You are an experienced commercial lawyer reviewing a contract. Analyse the following contract text and provide:
1. **Key Terms Summary**: Extract and summarise:
- Parties and effective date
- Term and renewal provisions
- Payment terms and pricing
- Scope of services/deliverables
- Key obligations of each party
2. **Risk Analysis**: For each risk identified:
- Clause reference
- Risk description
- Severity: High / Medium / Low
- Market standard comparison (is this typical or unusual?)
- Recommended negotiation position
3. **Missing Clauses**: Identify any standard clauses that are absent but should be included (e.g., limitation of liability, data protection, force majeure).
4. **Plain English Summary**: A 3-paragraph summary suitable for a non-legal business stakeholder.
Focus particularly on: indemnification, liability caps, IP ownership, termination rights, and data handling provisions.
IMPORTANT: This analysis is for review purposes. All findings should be verified by qualified legal counsel before acting.
Contract text:
[PASTE CONTRACT TEXT]Key takeaway: AI contract review is most effective when you specify your organisation's risk appetite and standard positions for comparison.
Legal Research Summary Prompt
advancedStructures legal research questions to get well-organised summaries of legal positions, relevant precedents, and practical implications for a given jurisdiction.
Research the following legal question:
Question: [LEGAL QUESTION]
Jurisdiction: [JURISDICTION, e.g., England and Wales]
Context: [BUSINESS CONTEXT FOR THE QUESTION]
Client type: [e.g., SME, large corporation, individual]
Provide your analysis in this structure:
1. **Short Answer** (2-3 sentences)
2. **Legal Position**: Explain the current law, citing relevant:
- Primary legislation
- Key case law (with case names and brief holdings)
- Regulatory guidance (if applicable)
3. **Practical Implications**: What this means in practice for [CLIENT TYPE]
4. **Key Risks**: What could go wrong and how to mitigate
5. **Recommended Actions**: Specific steps the client should take
6. **Caveats**: Areas of uncertainty or where specialist advice is needed
NOTE: This is a research summary, not legal advice. Verify all citations and consult qualified legal counsel for specific matters.Key takeaway: Specifying the jurisdiction and context upfront prevents the AI from mixing legal positions across different legal systems.
Privacy Policy Analysis Prompt
intermediateAnalyses a privacy policy against GDPR requirements, identifying gaps, unclear language, and missing disclosures that need to be addressed.
Analyse this privacy policy against GDPR requirements.
For each GDPR requirement below, assess whether the policy adequately addresses it:
1. Identity of the data controller (Article 13(1)(a))
2. Contact details of DPO if applicable (Article 13(1)(b))
3. Purposes of processing and legal basis (Article 13(1)(c))
4. Legitimate interests relied upon (Article 13(1)(d))
5. Categories of recipients (Article 13(1)(e))
6. International transfers and safeguards (Article 13(1)(f))
7. Retention periods (Article 13(2)(a))
8. Data subject rights (Article 13(2)(b-f))
9. Right to withdraw consent (Article 13(2)(c))
10. Right to lodge a complaint (Article 13(2)(d))
11. Whether provision of data is required (Article 13(2)(e))
12. Automated decision-making and profiling (Article 13(2)(f))
For each requirement, state:
- Status: Compliant / Partially Compliant / Missing / Not Applicable
- Current wording (if any)
- Recommended improvement (if needed)
Also flag any language that is unclear, overly broad, or potentially misleading to data subjects.
Privacy policy text:
[PASTE POLICY TEXT]Key takeaway: AI privacy policy analysis catches common gaps faster than manual review but should always be validated by a data protection specialist.
NDA Comparison Prompt
beginnerCompares your standard NDA template against a counterparty's proposed NDA, highlighting all material differences and their practical implications.
Compare these two NDAs and identify all material differences.
**Our Standard NDA:**
[PASTE YOUR NDA]
**Counterparty's Proposed NDA:**
[PASTE THEIR NDA]
For each difference found, provide:
| Clause | Our Position | Their Position | Risk Level | Recommendation |
|--------|-------------|----------------|------------|----------------|
Focus particularly on:
- Definition of confidential information (breadth)
- Duration of obligations
- Permitted disclosures and carve-outs
- Return/destruction obligations
- Remedies and jurisdiction
- Residuals clause (if any)
Conclude with:
1. Top 3 points to negotiate (ranked by importance)
2. Points that are acceptable as-is
3. Any missing protections we should requestKey takeaway: Side-by-side NDA comparison with AI dramatically speeds up negotiation by surfacing only the material differences that need discussion.
Regulatory Compliance Checklist Prompt
advancedGenerates a compliance checklist for a specific regulation and business activity, with actionable items and evidence requirements.
Create a compliance checklist for [REGULATION, e.g., UK Consumer Rights Act 2015] as it applies to [BUSINESS ACTIVITY, e.g., online retail of physical goods].
Business context: [BRIEF DESCRIPTION OF THE BUSINESS]
For each requirement, provide:
1. **Requirement**: What the regulation requires
2. **Section/Article reference**: Specific provision
3. **Applicability**: Does this apply to our business? (Yes/No/Conditional)
4. **Current compliance actions needed**:
- What needs to be in place
- Evidence/documentation required
- Responsible role
5. **Risk of non-compliance**: What happens if not met
6. **Priority**: High / Medium / Low
Group requirements by theme (e.g., pre-contract information, delivery, returns, remedies).
Add a section on upcoming regulatory changes that may affect compliance in the next 12 months.
IMPORTANT: This checklist is a starting point for compliance planning. It must be reviewed and validated by qualified legal counsel familiar with the specific regulation and business context.Key takeaway: AI-generated compliance checklists serve as excellent starting points but must be validated against the actual regulatory text by qualified professionals.
Legal Letter Drafting Prompt
intermediateDrafts formal legal correspondence with appropriate tone, structure, and legal precision for common business situations like breach notices, demand letters, and responses.
Draft a formal legal letter for the following situation:
Type: [BREACH NOTICE / DEMAND LETTER / RESPONSE TO CLAIM / CEASE AND DESIST]
From: [SENDER DETAILS]
To: [RECIPIENT DETAILS]
Subject matter: [BRIEF DESCRIPTION]
Key facts:
- [FACT 1]
- [FACT 2]
- [FACT 3]
Relevant contract/agreement: [REFERENCE]
Desired outcome: [WHAT WE WANT TO ACHIEVE]
Deadline for response: [TIMEFRAME]
The letter should:
1. State the issue clearly and factually
2. Reference specific contractual or legal provisions
3. Set out our position and the basis for it
4. State what action we require
5. Include a reasonable deadline for response
6. Note consequences of non-compliance (without being threatening)
7. Preserve the business relationship where possible
Tone: firm but professional. Avoid aggressive language.
Jurisdiction: [JURISDICTION]
NOTE: This draft must be reviewed by qualified legal counsel before sending.Key takeaway: AI-drafted legal letters save significant time on routine correspondence while maintaining professional standards — but always have a lawyer review before sending.
Patterns
Key patterns to follow
- Always include jurisdiction context — legal positions vary dramatically between legal systems
- Specify the audience (lawyer, business stakeholder, regulator) to get appropriate level of detail and language
- Include disclaimers about AI limitations and the need for professional legal review
- Structured output formats (tables, checklists) make legal analysis more actionable
- Comparison prompts (our version vs theirs) are among the highest-value legal AI use cases
FAQ
Frequently asked questions
No. AI accelerates legal work — research, drafting, review — but cannot replace professional legal judgment, client relationships, or courtroom advocacy. Think of AI as a highly capable junior associate that needs supervision.
Use enterprise AI solutions with data processing agreements and confidentiality protections. Never use consumer AI tools for client-confidential material. Some law firms run AI models on-premises for maximum security.
AI provides good structural analysis and identifies common issues reliably. However, it may miss nuances, cite outdated or non-existent cases, and struggle with novel legal questions. Always verify AI legal output against primary sources.
Document review and comparison, contract analysis, legal research synthesis, drafting routine correspondence, and compliance checklist creation. High-volume, structured tasks see the biggest time savings.
Key considerations include: duty of competence (understanding AI limitations), confidentiality (data protection), candour (not presenting AI output as your own analysis without review), and supervision (human oversight of AI output). Check your jurisdiction's bar association guidance.
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