GitHub Copilot Prompt for Contract Analysis
Contract analysis is a time-consuming task that requires meticulous attention to legal details. GitHub Copilot, with its natural language understanding capabilities, can assist you in quickly identifying key clauses, contractual obligations, and potential risk areas. Whether you are a developer dealing with software license agreements, a freelancer reviewing a service contract, or an entrepreneur evaluating a business agreement, Copilot can structure your analysis and highlight points requiring special attention. This prompt is designed to methodically extract essential information from a contract: stakeholders, reciprocal obligations, termination clauses, penalties, intellectual property, and financial conditions. It does not replace professional legal advice but serves as an effective first filter to save time and ensure nothing is overlooked. By combining precise instructions with a defined output structure, you get an actionable summary in seconds.
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Analyze the following contract comprehensively and in a structured manner. For each section identified, extract information according to this framework:
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Parties and Identification: Identify all stakeholders, their respective roles, and key dates (signature, effective date, expiration).
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Contractual Obligations: List each party's obligations in table format (Party | Obligation | Deadline | Consequence of Breach).
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Financial Clauses: Detail amounts, payment terms, late penalties, price revisions, and billing conditions.
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Risk Clauses: Identify potentially unfavorable clauses, limitations of liability, possible unfair terms, and areas of legal ambiguity. Assign a risk level (low/medium/high) to each.
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Intellectual Property and Confidentiality: Analyze provisions related to IP, data, confidentiality, and non-competition.
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Termination and Exit: Detail termination conditions, notice periods, termination indemnities, and survival clauses.
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Summary and Recommendations: Provide a 5-point executive summary and a list of questions to ask before signing.
Contract to analyze:
[PASTE_CONTRACT_HERE]
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Why this prompt works
This prompt leverages a 7-dimension analysis structure covering all critical contractual aspects, forcing the model to omit nothing. The use of explicit output formats (tables, risk levels, numbered lists) channels the response into a directly usable deliverable. The request for final recommendations activates the model's critical reasoning beyond mere information extraction.
Use Cases
Variants
Expected Output
You get a complete structured analysis of the contract with a table of obligations by party, a risk map classified by severity, and a decision-making summary. The result includes concrete questions to ask the counterparty or your lawyer before signing, transforming a dense legal document into a clear action plan.
Frequently Asked Questions
Can GitHub Copilot replace a lawyer for contract analysis?
No, GitHub Copilot is in no way a substitute for professional legal advice. It is a first-pass aid that helps quickly identify key points and potential risk areas. Its analysis can contain legal interpretation errors, particularly on points of law specific to your jurisdiction. Use it to structure your understanding of the contract and prepare relevant questions for your lawyer, but always have the conclusions validated by a legal professional before making a decision.
How do you handle long contracts that exceed Copilot's context limit?
For large contracts, break the document down into logical sections (preamble, general conditions, appendices) and analyze each part separately while maintaining the same analytical framework. Start by requesting an overview of the full document, then dive deeper section by section. You can also ask Copilot to focus solely on risk clauses in a first pass, then analyze detailed obligations in a second step. Remember to include context from previously analyzed sections to maintain consistency.
What types of contracts can be effectively analyzed with this prompt?
This prompt works particularly well for service agreements, software licensing agreements, commercial leases, non-disclosure agreements (NDAs), employment contracts, and general terms and conditions of sale. It is less suited to complex financial instruments (derivatives, bank guarantees) or highly specialized contracts (maritime law, mining law) that require in-depth sector expertise. For those cases, use the prompt as a foundation and enrich it with analysis criteria specific to your field.
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Gemini Prompt for Analyzing a Contract
Contract analysis is a time-consuming task that requires careful attention to legal details. Gemini, thanks to its ability to process long and complex documents, proves to be a valuable ally for dissecting contractual clauses. Whether you are an entrepreneur, freelancer, or legal manager, using Gemini to analyze a contract allows you to quickly identify critical points: unfair clauses, hidden obligations, unfavorable termination conditions, or ambiguity zones that could lead to disputes. AI does not replace a lawyer, but it constitutes a remarkably effective first filter to understand the scope of a commitment before signing. By structuring your prompt precisely, you will obtain a clear, hierarchical, and actionable analysis that highlights risks and priority negotiation points. This guide provides optimized prompts to get the most out of Gemini in contract analysis, from a simple rental lease to a complex service agreement.
DALL-E Prompt for Analyzing a Contract
DALL-E, OpenAI's image generation model, offers a unique visual approach to support contract analysis. Although DALL-E does not directly read legal documents, it allows you to create striking visual representations of contractual clauses, responsibility flowcharts, obligation flow diagrams, and infographics summarizing the key points of a contract. This visual approach facilitates quick understanding of complex contractual structures, especially for non-legal teams who need to grasp the stakes of an agreement without mastering technical jargon. By combining DALL-E with a text analysis tool like ChatGPT, you can transform a dense contract into clear visual materials: stakeholder mapping, obligation timelines, illustrated risk matrices, or diagrams of conditions precedent. This method is particularly effective for presentations to the executive committee, internal training on contractual commitments, or archiving a visual summary accessible to all collaborators involved in contract execution.