AI contract review in Teams + SharePoint
VELA reads new contracts in your SharePoint legal-review folder, marks deviations against your written playbook, and posts a redline summary in the legal Teams channel.
The work that needs an owner
Legal teams review hundreds of contracts a year. Most are mostly the same. The deviations: the indemnity clause that flips, the auto-renewal that changes from 30 to 90 days: hide in 40-page documents nobody has time to read line by line. The first-pass review work is recurring and pattern-based. The judgment work is what actually needs the lawyer.
This route fits when
General Counsel, contracts managers, and legal-ops leads at companies with active vendor and customer contract pipelines. Especially useful when contracts already land in a SharePoint folder for review and the team operates out of Microsoft Teams.
What gets finished each week
- · Watches the SharePoint legal-review folder for new contracts
- · Reads each contract against your written playbook: standard terms, redlines you accept, redlines you don't
- · Marks deviations clause-by-clause in a redline document
- · Posts a one-paragraph summary in the legal Teams channel: what's standard, what's flagged, what needs lawyer judgment
- · Files the redline back to SharePoint linked from the original contract
- · Tracks the playbook over time: surfaces clauses your team always edits, suggests they become standard
First useful output
A redline summary in the legal Teams channel for the most recent contract in the review folder, with the clause-by-clause deviations highlighted.
Time to first output
Same day
How the work moves
| Trigger | Action | Outcome |
|---|---|---|
| New contract lands in the SharePoint legal-review folder | VELA reads the contract against your playbook, marks deviations clause-by-clause | Redline document filed in the same folder; summary posted in the legal Teams channel |
| A clause appears that doesn't match the playbook and isn't an accepted redline | VELA highlights the clause and tags the legal-ops owner in the channel thread | Lawyer's review starts on the flagged clauses, not the whole contract |
| VELA sees the same redline pattern across multiple contracts this quarter | Posts a pattern note: 'These three customer MSAs all changed the auto-renewal to 90 days. Should we update the playbook?' | Playbook stays current with the deals you're actually closing, not the playbook you wrote two years ago |
| Contract gets executed | VELA logs the final terms back to your contract management system and tags the deal owner | Deal team sees the final terms; legal sees the executed clauses for next time's playbook update |
Connections this work requires
Wire Teams channels and chats
How the agent listens for @-mentions, posts threaded replies, and uses adaptive cards. Base wiring every other use case depends on.
Wire SharePoint and OneDrive
Start with the finished Microsoft 365 work product, then approve only the SharePoint or OneDrive records and operations needed to produce it.
Recommended fidelic agent
AI Contract Review
What the work costs
VELA costs a small fraction of what a mid-market contracts manager costs. The agent does the parts of contract review that scale: the side-by-side comparison, the deviation-marking, the playbook-pattern tracking. A contracts manager runs $8 to 12K/month fully loaded; the negotiation and the judgment calls stay with them. VELA cannot replace a senior lawyer; it makes one's first pass dramatically faster. See the math on /pricing.
The boundary around this connection
VELA currently does not:
- Make legal judgment calls. The agent flags deviations against your playbook; the lawyer decides whether to fight, accept, or escalate. The constitution forbids the agent from advising on legal strategy.
- Sign contracts. The agent reads and reviews; humans sign.
- Replace specialized contract review platforms. Evisort, Kira, and Ironclad are great at the deep-feature contract-AI job. VELA is the Teams-native first-pass surface for teams that want a Teams thread, not a separate platform.
- Read contracts protected by Microsoft Information Protection labels that block external apps. The agent skips and surfaces the skip; the team handles those manually.
Choose what to inspect next
- → Back to Microsoft Teams Review the complete connection and its related work.
- → See the Agents directory Compare the roles available to hire.
- → All integrations
Follow the connected questions
Start and work together includes this decision and the questions that usually change it.
Which systems should an AI agent connect to?
Connect the smallest set of systems needed to read the source, write the work product, and preserve the record the business already uses.
Inspect supported integrations →What data should an AI agent be allowed to access?
Grant only the systems and records required for the role. Keep credentials, customer boundaries, logs, and approval rules explicit.
Where should an AI agent’s work appear?
Use the environment where the right people can see the result, inspect the source trail, correct it, and make the next decision.