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How to Draft and Enforce an AI Vendor Contract Under California’s New AI Transparency and Consumer Notice Rules (2026)

Artificial Intelligence and Automation / Jack Gilbert

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 […]

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How to Build an AI Governance Program for California Law Firms Under the CPRA, ABA Model Rules, and SOC 2 Requirements

AI Governance & Risk Management / Jack Gilbert

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

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How to Draft Enforceable AI Vendor Contracts for SMBs: Data Ownership, IP Indemnity, and Audit Rights Explained

Business Technology / Jack Gilbert

Most SMB AI vendor contracts fail on three enforceability points: clear data ownership, robust IP indemnity, and usable audit rights. As generative AI tools move from experimentation to core operations, vague “standard terms” can leave small businesses exposed. This article explains the contract clauses attorneys should draft (and negotiate) to protect SMB clients and reduce

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How to Use AI Contract Review Tools in California Without Violating Attorney-Client Privilege or State Bar Ethics Rules

AI in Law / Jack Gilbert

California lawyers can use AI contract review tools ethically if they follow at least 6 core safeguards: competence, confidentiality, supervision, informed consent when needed, vendor due diligence, and careful output review. AI is increasingly embedded in contract workflows, but it can expose client data and create malpractice and disciplinary risk if used casually. This article

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How to Draft an AI Acceptable Use Policy for California Law Firms to Reduce Confidentiality and Malpractice Risk

Artificial Intelligence / Jack Gilbert

California law firms can cut AI-related confidentiality and malpractice exposure by adopting an AI Acceptable Use Policy built around 6 core controls: scope, approvals, vendor due diligence, client-data rules, supervision, and logging. California’s ethical duties of competence and confidentiality apply even when lawyers use generative AI tools. This article explains how to draft a compliant

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