California’s 2025 AI compliance wave makes AI vendor contracts the fastest way to reduce civil exposure—by shifting, capping, and insuring key risks before deployment. New state AI rules and enforcement attention are forcing companies to prove governance, testing, and consumer protections across the vendor stack. This article explains the contract clauses California attorneys should draft […]
California law firms using AI chatbots must provide at least 3 core disclosures in 2026: clear notice of AI use, CCPA/CPRA privacy notice access, and “Do Not Sell/Share” rights where applicable. The CPRA expanded consumer rights and tightened rules around sensitive personal information and sharing for cross-context behavioral advertising. This article explains how to draft
California AI vendor deals in 2026 should include at least 10 core clauses covering privacy, IP, security, audit rights, and liability allocation. California’s privacy regime (CPRA) and fast-evolving AI laws make “standard SaaS terms” risky for both buyers and vendors. This guide explains the contract provisions attorneys should draft and negotiate for data privacy, IP
California businesses using AI must comply with the CPRA’s notice, purpose-limitation, and vendor-contract rules—especially when AI touches personal information and sensitive personal information. In practice, the highest risk comes from training, prompting, and sharing data with AI vendors in ways that expand “use” and “disclosure” beyond what was disclosed to consumers and employees. This article
California businesses using AI vendors in 2026 must contract for consumer-facing transparency, notices, and verifiable compliance—especially where AI interacts with the public. California’s evolving AI disclosure expectations, alongside privacy and unfair competition enforcement risk, make “standard” SaaS terms inadequate. This article explains how to draft and enforce an AI vendor agreement under California’s new AI
California law firms can build a defensible AI governance program in 30–90 days by combining a written CPRA compliance layer, ABA ethics controls, and SOC 2-style security evidence. The CPRA raises stakes for vendor risk, sensitive personal information, and data minimization, while ABA Model Rules require competence, confidentiality, supervision, and candid communications. This article provides
