mcpbeat

Legal Mdl Audit Ignacio Adrian Lerer

lawve-ai/legal-mdl-audit-ignacio-adrian-lerer

Audits legal AI outputs and workflows for honest compression: unnecessary complexity, false simplicity, excessive caveats, hidden uncertainty and poor cost per legally acceptable output.

550 tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
616
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/lawve-ai/awesome-legal-skills --skill legal-mdl-audit-ignacio-adrian-lerer

What comes with it

186 bytes besides the instruction
README.md

The instruction itself

6 sections, as written by the author

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:

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

Output format

Return:

  • Verdict.
  • Complexity drivers.
  • Hidden uncertainty or omitted hard cases.
  • What can be simplified.
  • What must not be removed.
  • 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.

How to use it

Copy the folder

Take lawve-ai/legal-mdl-audit-ignacio-adrian-lerer from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.