Covers the legal and regulatory issues of developing and deploying AI, including governance and accountability, transparency and explainability, bias and discrimination risks, privacy and data protection, and security. Includes compliance guidance on emerging AI laws and standards, audits and impact assessments, third‑party/vendor oversight, and contract and policy requirements for responsible AI use.
Colorado’s AI Act (SB 24-205) requires Colorado employers using AI to screen applicants in 2026 to implement documented risk management, provide applicant notices, enable certain opt-out/human-review paths, and monitor for discrimination. The law targets “high-risk” AI systems used in consequential decisions like employment and will be enforced by the Colorado Attorney General. This article explains […]
German law firms using generative AI for document review must comply with the EU AI Act’s obligations for deployers and, in some cases, providers—especially when the tool qualifies as “high-risk” or uses a GPAI model. In Germany, this sits alongside strict GDPR, professional secrecy (Verschwiegenheit), and client confidentiality expectations. This article explains how to classify […]
Colorado’s AI Act (SB 24-205) requires deployers of “high-risk” AI systems to implement risk management and transparency measures, and vendor contracts are the fastest way to operationalize those duties. For Colorado attorneys advising businesses buying AI, contract language is the control point for documentation, testing, and incident response. This article provides a clause-by-clause drafting roadmap […]
More state bars are moving toward requiring at least 1 hour of AI-focused CLE to address lawyer competence and ethics with AI tools. As AI becomes routine in research, drafting, eDiscovery, and client communications, regulators want training on risks like confidentiality, bias, and supervision. This article explains what “AI CLE” covers, who may be affected, […]
