技能 人工智能 法律AI输出简洁性与安全审计

法律AI输出简洁性与安全审计

v20260804
legal-mdl-audit-ignacio-adrian-lerer
本技能用于审计法律AI生成的各类文本和工作流,评估其是否达到了“最小描述长度”原则。它旨在识别过度复杂的表述、不必要的限制性声明或隐藏的法律不确定性,确保输出在保持法律严谨性的前提下,达到最简洁、最高效的专业程度。
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概览

Legal MDL Audit

What this skill does

This skill reviews whether a legal AI answer, prompt, workflow, benchmark result, contract review, memo, compliance report, or agent chain is as simple as it can safely be.

It is inspired by Minimum Description Length: good legal reasoning should explain more with less structure, but never by hiding material uncertainty.

Audit categories

Classify the material as:

  • APPROVE: lean and still legally safe.
  • APPROVE WITH CONSTRAINTS: complexity is justified, but reliance needs stated limits.
  • REWRITE: the output is too complex, repetitive, expensive, or hard to audit.
  • QUARANTINE: the output is falsely simple and hides material uncertainty.

Checklist

Review:

  1. Rules: how many legal propositions are needed?
  2. Exceptions: how many carve-outs or qualifications are doing real work?
  3. Conditions: what facts, dates, forums, sources or procedural states must hold?
  4. Sources: are citations enough, excessive, or missing?
  5. Uncertainty: what must remain visible?
  6. Workflow cost: how many model/tool/human steps were needed?
  7. Output value: did added complexity improve legal acceptability?

Output format

Return:

  1. Verdict.
  2. Complexity drivers.
  3. Hidden uncertainty or omitted hard cases.
  4. What can be simplified.
  5. What must not be removed.
  6. Safer shorter version, if requested.

Rules

  • Do not reward short answers that erase legal uncertainty.
  • Do not reward long answers that add caveats without improving reliance.
  • Prefer cost per legally acceptable output over cost per token or API call.
  • Preserve source gaps, authority boundaries and human-review gates.
信息
Category 人工智能
Name legal-mdl-audit-ignacio-adrian-lerer
版本 v20260804
大小 1.5KB
更新时间 2026-09-06
语言