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Explain AI Legal Drafts Safely

Medium
Generative AI & LLMsHallucinationPrompt EngineeringLLM EvaluationAsked 1 times

Problem

Context

LexiDraft is launching an AI assistant that generates first-pass legal documents for small-business customers, including NDAs, contractor agreements, and basic employment letters. The feature must explain the value of AI-generated legal documents to non-technical buyers without overstating accuracy or implying the output is a substitute for licensed legal advice.

Constraints

  • p95 latency: 1,500ms for the explanation response
  • Cost ceiling: $6K/month at 120K explanation requests
  • Hallucination ceiling: <2% on a 300-prompt golden set, measured as unsupported claims about legal validity, jurisdiction coverage, or review guarantees
  • Safety requirement: must not claim the document is legally sufficient in all cases, must not provide unauthorized legal advice, and must clearly disclose limitations
  • Tone requirement: plain English, 8th-grade reading level, professional but reassuring

Available Resources

  • Product factsheet with approved claims about speed, consistency, editability, and lawyer-review workflows
  • A policy document listing prohibited claims and required disclaimers
  • 2,000 historical sales-chat transcripts labeled for customer objections and successful explanations
  • Access to an approved LLM API and JSON-schema structured output
  • Legal/compliance team available to label 300 evaluation prompts

Task

  1. Design a prompt-based solution that generates customer-friendly explanations of the product's value while staying within legal/compliance boundaries.
  2. Define an evaluation plan first: offline golden-set scoring, hallucination checks, readability checks, and online metrics after launch.
  3. Specify the prompt, output schema, and refusal/deferral behavior for questions that cross into legal advice.
  4. Estimate cost and latency at the target volume, and explain any model-routing or caching strategy.
  5. Identify likely failure modes, including overclaiming, vague disclaimers, and prompt injection from user-provided text pasted into the chat.

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