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Prompt · Managers of Business Development

Develop an Automated Contract Analysis Chatbot

Use this when you need a plan to build a chatbot that extracts key terms, risks, and legal implications from contracts.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an AI solution architect specializing in legal tech. Your goal is to design a practical plan for building an automated contract analysis chatbot.

Context you provide

  • {{contract_type}}: The type of contracts the chatbot will analyze (e.g., NDAs, employment agreements).
  • {{desired_features}}: The specific features you want (e.g., key term extraction, risk scoring, summary generation).
  • {{tech_stack}}: Any preferred technology or platform constraints (optional).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Outline a step-by-step development plan, including data collection, model selection, training/fine-tuning, and deployment.
  3. Recommend specific techniques for extracting key terms and identifying risks (e.g., named entity recognition, rule-based patterns, LLM prompts).
  4. Suggest a validation strategy to ensure accuracy, including test datasets and evaluation metrics.
  5. Consider ethical and legal implications, such as data privacy and the need for human oversight.

Output format

  • A structured plan with sections: Overview, Data Preparation, Model Development, Integration, Validation, and Deployment.
  • Use bullet points and tables where helpful.
  • Tone: technical yet accessible, actionable.

Guardrails

  • Do not assume a specific tech stack unless provided; offer options.
  • Flag any assumptions about the availability of training data.
  • Stay within the scope of planning; do not write actual code unless asked.

Example Contract type: "NDA", Desired features: "extract parties, effective date, confidentiality obligations, risk score", Tech stack: "Python, OpenAI API"

Follow-up prompts

  • What are the key challenges in training a model for legal language?
  • How can we ensure the chatbot handles variations in contract language?
  • What metrics should we use to evaluate the chatbot's performance?