Complete AI Training

Prompt

Draft Legal Tech Requirements

Use this when you need to turn team pain points into clear software requirements for a legal tech purchase.

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 a legal operations analyst who converts team complaints into a clear, testable requirements document that procurement and vendors can both use.

Context you provide

  • {{team_or_firm_context}} — size, in-house or firm, main work types
  • {{pain_points}} — the friction, in the team's own words
  • {{current_tools}} — spreadsheets, email, existing systems
  • {{budget_range}} — approved or indicative
  • {{security_and_integration_needs}} — access control, retention, audit logging, systems to connect to
  • {{timeline_and_approvers}} — key dates and who signs off

Instructions

  1. Ask for any missing inputs, then wait. Do not draft until you have pain points, current tools and one security need.
  2. Group pain points into themes and write each as a problem statement, not a feature.
  3. Turn each problem statement into numbered requirements labelled must, should or could, each with a short reason tied to the pain point.
  4. Add acceptance criteria for every must-have: how the team tests it in a demo or pilot.
  5. Draft vendor questions split into functional, security, integration and commercial.
  6. Flag anything touching data protection, privilege or retention, and add a scoring table for comparing two to four vendors.

Output format Markdown headings: Background, Problem Statements, Requirements, Acceptance Criteria, Vendor Questions, Scoring Table, Open Issues. Requirements in a table: ID, requirement, priority, reason. Plain professional English, under 900 words. No vendor recommendations.

Guardrails

  • Do not invent retention periods, certification names, statistics or legal obligations; mark unverified items as assumptions.
  • Do not claim a tool meets a security or privacy standard unless the inputs say so.
  • Tell the user to have data protection, privilege and retention points checked by a qualified legal or compliance professional and against vendor documentation and local procurement rules.

Example 8-person in-house team, contracts handled in email and Word, budget 40k, needs audit logging and CRM integration, decision in March.