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Get Started Free →Audits legal AI outputs, prompts, skills, workflows and MCP/tool instructions for fluent but unsupported reasoning, missing evidence, overconfidence, hidden assumptions, weak causal links and absent human-review gates.
.claude/skills/lawve-ai-epistemic-fault-line-audit-ignacio-adrian-lerer/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-08 | ✗→✓ | ▲ Improved | -15% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 43% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 4% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 14% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -6% | 0% |
This skill reviews legal AI material before it is trusted, installed, published, cited, or used with a client. It does not decide the legal issue. It checks whether the output is grounded enough to rely on, or whether it is merely fluent.
Use it for legal memos, contract reviews, litigation drafts, compliance reports, prompts, third-party skills, MCP/tool instructions, agent workflows, or benchmark answers.
Assess seven fault lines:
Then check the authority boundary: even if the output is well-grounded, does the AI system or user have authority to act on it, or must the matter be escalated to a lawyer, court, regulator, board, compliance officer, client decision-maker, or other competent authority?
Return:
Other measured skills in the registry, with their headline benchmark lift.