AI Vendor Contracting & SLA Negotiation
Most enterprise AI agreements are drafted to protect the vendor. Closing that liability gap is a contracting problem, not a technology problem.
Core services
Closing the liability gap in third-party AI procurement.
The questions that matter are rarely on the pricing page: who owns the inputs, who owns the outputs, what happens when the model is wrong, and who pays when a third party claims infringement.
Vendor Contract Review
Specialized review of SaaS and AI vendor agreements focused on data training rights, input ownership and liability caps.
IP Indemnification Riders
Addenda classifying AI vendors as passive technology utilities, shifting third-party IP infringement liability back to the vendor.
Third-Party Risk Audits
Evaluating vendor training-data practices, model hallucination SLAs and enterprise data retention.
Data Processing Terms
Where your data goes, how long it lives, and whether it trains the next model version.
Service Levels That Bind
Accuracy, availability and escalation commitments written so they are actually enforceable.
Exit & Portability
Getting your data and your workflows back when the relationship ends.
Talk to Steve.
A short, confidential conversation is usually all it takes to know your next step.
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