1 Contract Lifecycle AI Agent, Live in Production.
1 live agent automates contract lifecycle within legal. It runs on demand. It publishes the inputs it needs, the steps it works through and what it hands back.
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Contract Drafting
Draft an agreement from your own clause library, then check it against a completeness checklist and repair anything missing.
Drafting from your clause library, then repairing what the checklist finds missing
First-draft production is where legal time is spent least usefully and where the most risk enters. When legal has capacity, a lawyer assembles the draft, which works and does not scale. When it does not, a commercial team assembles one from the most recent similar agreement — which carries forward whatever was negotiated into that specific deal, including concessions that were acceptable once and are now the starting position. Either way, completeness is checked by reading, and reading is the wrong instrument for detecting an absence. A missing clause does not appear on the page; nothing draws the eye to it, so the omission survives review and is discovered when the situation it covered arises.
Contract Drafting drafts an agreement from your own clause library, then checks it against a completeness checklist and repairs anything missing. Both halves matter. Drafting from the library rather than generating language means the output uses wording that has already been approved, which is what makes it reviewable quickly. The checklist pass addresses the absence problem directly, because a systematic comparison against a required set will find a gap that a human reading the document straight through will not. One agent covers this process, and it produces a draft for legal review — the agreement of terms and the decision to send remain a lawyer’s.
What this moves
- Drafts containing approved wording
- The agreement is assembled from your own clause library rather than generated, so the language in it is language your legal function has already accepted.
- Agreements sent with a clause missing
- The draft is tested against a completeness checklist and the gaps repaired before it leaves, catching the omission that a read-through does not.
Legal
How AI agents handle contract lifecycle
Drawn from the 1 agent above — what they require, how they run, and what comes back.
What they need
- Deal terms
- Anything else
What comes back
- Draft validation
- Draft agreement
- Completeness checklist
- Clauses drawn from your library
How they run
- Run on demand
- 1
- Steps per run
- 5
- Credits per run
- 7
- Use a knowledge base
- 1
Where contract lifecycle fits in legal
Clauses are extracted and checked against your own playbook, so the queue stops being the reason a deal waits.
Next Step
Deploying contract lifecycle agents
These run as-is against the inputs listed above. Most deployments adapt one — a different source system, a different tolerance, a different approval path. The first call establishes which.