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How to Draft a SaaS Agreement for AI-Powered Tools to Limit Data Privacy and IP Liability Under U.S. Law

A well-drafted SaaS agreement for AI tools can reduce exposure under at least four recurring U.S. legal risk buckets: data privacy, security, IP ownership, and third‑party claims. AI-powered SaaS adds unique issues (model training, prompts/outputs, and vendor subprocessors) that traditional templates often miss. This article outlines the key U.S.-law clauses, negotiation positions, and sample drafting […]

How to Draft an Enforceable AI Vendor Contract in California: Key Clauses for Data Use, Model Training, and Indemnity

AI & Technology Law / Jack Gilbert

An enforceable California AI vendor contract typically needs 10–15 core clauses covering data rights, model training limits, security, IP, compliance, auditability, and indemnity. Because AI systems can reuse customer data in ways traditional SaaS tools do not, “standard” templates often leave major gaps. This article flags the contract terms California counsel should negotiate for data

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