Use GOVENANT and an AI legal workflow together — govern the AI legal & contract agents, not the framework. In legal work, “I reviewed it” has to be provable.
A mid-size firm uses agents to review inbound contracts and draft first-pass redlines; associates review the output before it goes out.
When a clause is missed, there’s no record of what the agent actually checked versus what it claimed — and no enforced guarantee that a human authorized anything that left the building. “The AI reviewed it” has to be provable, and right now it isn’t.
Every redline, flag, and draft becomes a verified action row against the document; filing and sending are pinned to human approval in code. The record shows one matter type where a required clause check silently never ran — caught by coverage math, not by a missed deadline.
The substrate: The matter and document record: redlines applied, clauses flagged, documents generated, filings prepared — verifiable artifacts, checked against what the agent claims it did.
The path — Instrumented boundary: Add a thin hook at the action boundary — no access to prompts, reasoning, or models — so every action and its outcome is recorded.
| GOVENANT shape | an AI legal workflow source |
|---|---|
| Action row | Each document edit, clause flag, and generated draft against the matter record |
| Ownership gate (pinned to human) | Filing, sending, and client-binding actions — pinned to human approval, permanently |
| Verified outcome | The artifact: redline applied, clause flagged, draft generated — checked against the document, not the summary |
| Miss | A required clause check that silently never ran; a deadline never docketed |
The substrate shapes and acceptance tests are open (CC BY 4.0): developer integration · the portable schema.
A real integration wears the Built-on badge; levels are self-assessed against the open standard and published with probe logs — never “certified,” and never a substitute for professional responsibility. What it gives a legal team is an inspectable record that the agent-assisted work happened as claimed.
It will never say “supported” or “certified” before a working example lands and its record is public — progress lives in the GitHub issue. Holding our own examples to the standard’s claims discipline is the product.
All sample projects · Govern AI legal & contract agents · All integrations · Run the audit