Contract review. Cited, not just skimmed.
Extracts obligations, key dates, and risk clauses from every contract in the file — every finding cited to the exact clause it came from. Built for legal and procurement teams managing hundreds of active agreements who need every finding traceable back to the source document.
18 cited fields per contract. Built on Sphere AI Foundry.
Manual contract review doesn't scale with the file
Answering "what does this contract actually say" means a lawyer or contract manager opening a PDF, scrolling to the indemnification section, re-reading the renewal clause, and cross-checking it against three amendments — every time the question comes up. At ten active contracts that's manageable. Across a portfolio of hundreds, it's the reason obligation tracking, renewal deadlines, and risk exposure live in someone's memory instead of a system.
Question in, cited clause out
Four steps, every one logged and citable back to the source agreement.
Reads the contract directly from your systems
MSA, SOW, NDA, vendor agreement, lease, or licensing agreement — read from your CLM platform, document repository, or e-signature system, amendments included. No separate upload step.
Every obligation and clause pulled and typed
Payment terms, deliverable dates, renewal and termination triggers, indemnification, liability caps, and assignment restrictions — each extracted and classified against your risk taxonomy, not a generic summary.
No finding without a citation
Each obligation, date, or risk clause links back to the exact section and page in the source agreement — the citation travels with the finding, not as a separate lookup.
One risk rating, one consolidated log
The agent returns Low, Moderate, or High risk, with a consolidated obligation and deadline log routed to legal, procurement, or the business owner for sign-off.
18 fields, every one cited
What the agent extracts from every contract it reviews.
Typical inputs
What the agent reads, and what it connects to.
Documents
- Master service agreements (MSAs) and statements of work (SOWs)
- NDAs, vendor and supplier agreements, and licensing agreements
- Commercial leases and amendments
- Prior redlines, side letters, and amendment history
- Internal playbook or standard-position clause library
Systems
- Contract lifecycle management (CLM) platform
- Document repository or e-signature system
- Procurement or vendor management system
Is this the right fit?
Built for a live portfolio — not a one-off read.
✓ Works best for
- Legal and procurement teams managing 100+ active contracts
- Teams standardizing on a fixed risk-clause taxonomy
- Operations wanting every obligation traceable to source
Too small for
- A single one-off contract counsel can read end to end faster than configuring the review
- Replacing attorney judgment on negotiation strategy or final sign-off
- Highly bespoke agreements with no comparable clause structure to check against
Grounded in the contract, not a black box
Compliance-first, the same standard every Sphere agent is held to.
The agent requires the complete executed agreement, including amendments, before it will return a risk rating, and every review sits between your intake queue and the attorney or contract manager's sign-off — never past it. A human reviewer confirms every risk classification before it drives a negotiation position or business decision.
Findings reference your internal playbook and standard-position clause library directly. Because it runs on Sphere AI Foundry, the same access controls and audit-trail approach carry across other regulated deployments your organization runs on the platform — legal, procurement, or otherwise.
Prerequisites complete file
Complete executed agreement and amendment history required before a risk rating is returned.
Human review required
An attorney or contract manager confirms every risk classification before it drives a decision — never fully autonomous.
Regulatory grounding playbook-aligned
Findings reference your internal playbook and standard-position clause library directly in every review.
Foundation Sphere AI Foundry
Access controls and audit trail configured here carry forward to every other agent you deploy.
Frequently asked
Does the Contract Intelligence Agent replace outside counsel or in-house review?
No. It replaces the manual first pass of reading a contract and logging its obligations, dates, and risk clauses. An attorney or contract manager still confirms any finding before it drives a business decision.
What contract types does it support?
MSAs, SOWs, NDAs, vendor and supplier agreements, leases, licensing agreements, and amendments. Additional contract types and clause libraries can be added during onboarding.
How does it integrate with our existing CLM or document repository?
It reads directly from your contract lifecycle management (CLM) system, document repository, or e-signature platform — no separate upload step required. Integration scope is confirmed during deployment planning.
Is every finding actually traceable to the source document?
Yes. Every obligation, date, and risk clause cites the specific section and page of the source contract — there's no finding without a citation back to the agreement.
How is this different from a generic document AI tool?
It's built specifically around the obligation, date, and risk-clause fields a legal and procurement team tracks — not a general-purpose summarizer. It runs on Sphere AI Foundry, so the access controls and audit trail you set up here carry forward to other agents you deploy.
See it on your own contracts
Bring three real agreements to the demo. We'll show the extraction output live — obligations, dates, risk clauses, and citations, on your own documents.
Talk to a solutions architect
Direct to a senior architect — never a sales queue. Replies within one business day.
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