adversarial-legal-review-enlisted
Install: claude install-skill matematicsolutions/awesome-matematic-skills-en
# Adversarial Legal Review (English) - a red team for a high-stakes deliverable
## Philosophy
**Better your own agent finds the weakness in your thesis than your opponent finds it in the hearing.**
A single LLM pass produces an argument that sounds confident - because the model is trained to sound confident. That is an illusion of competence. The real value of an expert is to foresee the counter-argument, the contrary authority, and the gap in reasoning before the other side does. This skill institutionalises the adversarial move: one agent defends, one attacks, one reconciles, one verifies.
This is NOT writing a deliverable from scratch. It is a stress-test of a finished deliverable.
## Cost gate (read BEFORE running)
The full cycle is token-expensive. Run it **only for high-stakes** work:
| Run (high-stakes) | Do NOT run (routine) |
|---|---|
| A legal opinion going to a client | An internal note |
| Due diligence / an M&A memo | A summary of a judgment |
| A court submission before a deadline | A working draft |
| A recommendation to a board | FAQ, marketing content |
| A position carrying material financial or reputational risk | A routine query |
If the matter is not high-stakes, say so plainly and offer an ordinary single-pass review instead of the full debate. Do not burn tokens on routine work.
## Workflow (4 roles + verification)
Each role is a separate pass with a clean mandate. Pseudonymise the input (e.g. with a humaniser/anonymiser step) if the document