AI & Technology Law

Colorado’s AI Act (SB 24-205) creates enforceable duties for “developers” and “deployers” of high-risk AI systems, including in employment decisions, with key obligations taking effect in 2026. The law targets discriminatory outcomes from AI used in consequential decisions like hiring, firing, promotion, and pay. This article explains how HR teams, in-house counsel, and employment attorneys […]

Colorado’s AI Act (SB 24-205) becomes enforceable on February 1, 2026, and AI vendor contracts should be revised now to allocate “developer” and “deployer” duties, risk controls, and incident-response timelines. The statute targets “high-risk” AI systems used in consequential decisions (e.g., employment, housing, credit, education, insurance). This article provides practical contract clauses and a drafting […]

U.S. companies selling into the EU must align AI vendor contracts with the EU AI Act’s risk-based duties—especially for high-risk systems with mandatory compliance controls. The Act reaches many U.S. providers and deployers through its extraterritorial scope when AI outputs are used in the EU. This article explains how to draft enforceable AI vendor agreements […]

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 […]

This lawsuit highlights 5 recurring legal risk areas for AI startups: training-data IP, privacy, consumer deception, contract warranties, and fundraising disclosures. Founders should audit data sourcing, model outputs, and marketing claims before raising capital to avoid injunctions and valuation damage. This article explains what happened, why it matters to investors, and a checklist to reduce […]