Solve complex legal tasks with surprising accuracy. With Spellbook you get:
A lawyer sits late at night scrolling through a dense 40-page agreement, manually trying to review, analyze, and identify risks clause by clause. Hours pass.
Now imagine using a structured AI prompt that quickly identifies high-risk provisions, extracts critical commercial terms, and surfaces red flags in minutes.
That contrast is why AI-assisted contract review is more than a “nice-to-have.” Today, lawyers are turning to ChatGPT, Claude, Gemini, and other AI-powered contract analysis tools.
However, the quality of their results depends largely on the prompts they use. Generic prompts lead to shallow answers. Well-designed prompts deliver comprehensive and risk-focused reviews that mirror how experienced lawyers review contracts.
This article provides transactional lawyers, general counsel, and contract managers with ready-to-use AI prompts to implement immediately during in-depth contract review.
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These actionable prompts work with ChatGPT, Claude, Gemimi, and similar contract analysis AI tools. Each prompt targets particular aspects of contract negotiation and risk management.
GPT Prompt 1: Comprehensive Contract Overview
GPT Prompt 2: Risk and Exposure Analysis
GPT Prompt 3: Missing Provisions and Gaps Identification
GPT Prompt 4: Non-Standard and Unusual Language Detection
Learn more about clause benchmarking to ensure your contracts conform to industry standards.
Using a contract review checklist helps ensure no item is overlooked. This prompt produces a structured report that covers all major contract elements.
Complete Contract Review Checklist Prompt
Perform a thorough contract review using this checklist with findings for each category:
For each category, flag issues requiring attention and provide recommendations.
Breaking the contract review into steps allows you to analyze each element more thoroughly. You get more extensive results than single prompts. For Step 6 through 10, start the prompt with: "Building on the previous analysis of [Party A] and [Party B], evaluate..." to help the AI maintain the relevant context.
Examine the following contract sections: (1) Identify all parties, their legal status, and authority to contract, (2) Review recitals for purpose and context, (3) Extract all defined terms and assess clarity, (4) Flag ambiguous definitions or missing key terms, (5) Flag capitalized terms that are not defined, (6) Spot potential interpretation issues.
Analyze termination and exit provisions in this contract: (1) contract term and commencement date, (2) termination rights for each party (cause vs. convenience), (3) notice requirements, (4) automatic renewal provisions, (5) post-termination obligations, (6) survival clauses. Track critical dates and renewal terms and flag unfavorable provisions.
Extract and analyze all financial clauses: (1) pricing structure and amounts, (2) payment schedule and milestones, (3) late payment penalties and interest, (4) expense reimbursement, (5) fee adjustment mechanisms, (6) financial caps or limits. Assess financial obligations and liabilities and highlight risk factors.
Review performance provisions: (1) scope of work or deliverables, (2) performance standards and metrics, (3) timelines and deadlines, (4) acceptance criteria, (5) change order procedures, (6) performance warranties, (7) consequences of non-performance. Identify unclear or unenforceable terms.
Analyze representations and warranties: (1) representations made by each party, (2) express and implied warranties, (3) disclaimer language and scope, (4) warranty duration and remedies, (5) 'as is' provisions, (6) compliance representations. Flag one-sided or unusually broad disclaimers.
Evaluate indemnification and liability: (1) indemnification obligations for each party, (2) scope of indemnity coverage, (3) indemnification procedures and notice, (4) limitation of liability clauses, (5) liability caps and exclusions, (6) consequential damages waivers, (7) insurance requirements. Detect unfavorable indemnification language and produce comprehensive risk matrices. Compare the Indemnity section against the Limitation of Liability section.
Evaluate IP ownership and licensing terms: (1) ownership of deliverables and work product, (2) IP licenses granted, (3) license scope and limitations, (4) IP warranties and indemnification, (5) confidentiality obligations, (6) restrictions on use, (7) IP developed during term. Identify unclear ownership or excessively broad licenses.
Review data privacy and security obligations: (1) confidentiality definitions and scope, (2) obligations of the receiving party, (3) exclusions from confidentiality, (4) duration of obligations, (5) data protection and privacy requirements, (6) permitted disclosures, (7) return or destruction of information. Flag gaps in protection.
Identify jurisdiction and governing law issues: (1) applicable law and jurisdiction, (2) dispute resolution method (litigation, arbitration, mediation), (3) arbitration provisions and rules, (4) venue selection, (5) waiver of jury trial, (6) attorney's fees provisions, (7) pre-litigation requirements. Assess favorability to the client. Check for Equitable Relief.
Analyze general provisions: (1) assignment and change of control, (2) amendment procedures, (3) notice provisions, (4) force majeure, (5) severability, (6) entire agreement clause, (7) compliance with laws, (8) export control, (9) sanctions, (10) anti-corruption provisions. Flag missing protections.
These specialized prompts help lawyers perform sophisticated analysis beyond basic contract review. This supports the development of a negotiation strategy with more impactful insights.
Explore contract term precedents and tools to strengthen your negotiation position with proven alternative language.
AI works best when paired with human expertise. Make sure to:
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Avoid relying on one prompt only. Avoid generic prompts for specialized contracts, and instead add specific (though anonymized) details to help the AI understand the context.
Accepting AI output without careful lawyer review is another frequent error. AI can surface risks, but it cannot judge their legal or commercial significance.
Also, don’t skip documenting the review process because it helps maintain quality control.
General AI tools require iterative prompt engineering to deliver high-quality results. Spellbook does not. Spellbook is a legal-specific AI tool that comes pre-trained to perform contract review tasks automatically. Lawyers get overviews, risk reviews, gap analyses, and compliance checks, all while continuing to work in Microsoft Word.
For legal operations professionals managing multi-contract review workflows, Spellbook optimizes the process through scalable, playbook-aligned automation.
Request a demo with Spellbook today to see instant, thorough contract analysis in action.
No. AI assists but doesn't replace lawyer review. Transactional lawyers must still assess legal meaning and make decisions based on client needs and relevant business settings.
Standard agreements such as NDAs, vendor contracts, employment agreements, and service contracts work best with AI review prompts.
AI analysis takes seconds to minutes. Afterward, a lawyer reviews the contract for 10 to 30 minutes, depending on contract complexity.
Yes. Customization improves accuracy and relevance. Many prompts are adaptable. However, the best results come from tailoring prompts to the contract type.
Read clauses in context, confirm legal accuracy, assess client impact, and determine the appropriate measures. Lawyers should always manually review AI findings to ensure the analysis aligns with applicable law and client objectives.
ChatGPT | Claude | Perplexity | Grok | Google AI Mode




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