lawve-ai/decision-ownership-audit-ignacio-adrian-lerer
Audits AI-assisted legal, compliance, governance, and institutional decisions before reliance to determine whether the responsible human or institution has enough access to the evidence, reasoning basis, uncertainty, authority, and review path to genuinely own the decision rather than merely approve, sign, or transmit it.
npx skills add https://github.com/lawve-ai/awesome-legal-skills --skill decision-ownership-audit-ignacio-adrian-lerer
This skill audits whether a person or institution can responsibly rely on an AI-assisted legal or governance output before approving, signing, filing, sending, enforcing, or otherwise acting on it.
It does not ask only whether the output is correct, plausible, well written, or formally reviewed. It asks whether the responsible actor has enough access to the basis of the decision to stand behind it as a professional or institutional judgment.
Use it for legal memos, litigation strategy, contract review, compliance decisions, regulatory responses, board materials, risk approvals, due diligence conclusions, policy determinations, and other outputs that may move from analysis into reliance.
Can the responsible human or institution genuinely own this decision, or are they merely ratifying an output whose basis they cannot inspect, contest, or correct?
Identify who is expected to own the decision.
Classify the actor as:
If no responsible actor is identifiable, the output is not ready for reliance.
State what the actor is being asked to do with the output:
Higher-consequence uses require stronger ownership conditions.
Check whether the actor can inspect the evidence supporting each material conclusion.
The output should expose:
If the evidence cannot be inspected, mark the decision as ownership-deficient.
Check whether the actor can reconstruct the reasoning path at the level required for the decision.
The output should show:
Do not treat a post-hoc explanation, summary, confidence score, or fluent conclusion as sufficient by itself.
Identify uncertainty that affects ownership:
Uncertainty must be visible enough to influence the decision before reliance occurs.
Check whether the actor has authority and competence for the specific decision.
Ask:
Formal responsibility is not enough if the actor lacks authority or practical competence.
Check whether the actor can challenge and correct the output before action.
The workflow should allow:
If the workflow allows only accept/send/execute, ownership is weak.
Use one of these states:
PASS: the responsible actor can inspect evidence, reasoning, uncertainty, authority, and review path before reliance.REVIEW: minor gaps exist, but the output is not yet being used for consequential action.ESCALATE: specialist, supervisory, client, institutional, or procedural review is required before reliance.BLOCK: the output is being used for consequential action while the responsible actor cannot inspect or contest its material basis.## Decision Ownership Audit
Verdict: PASS | REVIEW | ESCALATE | BLOCK
### Responsible Actor
| Actor | Expected role | Decision surface | Status |
|---|---|---|---|
### Ownership Conditions
| Condition | Finding | Status |
|---|---|---|
| Evidence access | | |
| Reasoning access | | |
| Uncertainty visibility | | |
| Authority and competence | | |
| Contestability and correction | | |
### Ownership Gaps
| Gap | Why it matters | Required fix |
|---|---|---|
### Reliance State
- What can be relied on now:
- What cannot be relied on yet:
- What must be reviewed or escalated:
### Required Next Step
Take lawve-ai/decision-ownership-audit-ignacio-adrian-lerer from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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.