Connecticut has enacted one of the most wide-ranging state AI laws to date. Companies that develop or deploy automated tools affecting Connecticut employees, consumers, or minors should begin assessing whether the new law applies to them, since obligations start phasing in on October 1, 2026.
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Artificial intelligence is rapidly transforming how government contractors develop proposals, manage contracts, write software, analyze data, and perform countless other functions. Tools such as ChatGPT, Claude, Microsoft Copilot, and Google Gemini promise significant gains in efficiency and productivity, but they also raise complex legal, contractual, and cybersecurity questions. As federal agencies continue to develop agency-specific
The Alabama State Bar recently released updated guidance on the ethical use of artificial intelligence. While the guidance does not create any new ethics rules, it explains how lawyers’ existing professional responsibilities apply to AI tools that are now part of everyday legal practice. Here are a few key takeaways.
In the second half of 2026, one of California’s most significant artificial intelligence laws takes effect, with additional provisions becoming effective in 2027 and 2028. The California AI Transparency Act (CAITA), established by SB 942 and amended by AB 853, imposes new requirements on generative AI platforms, large online platforms, generative AI hosting platforms, and
On January 1, 2026, California’s SB 53 imposed groundbreaking new requirements on developers of the most advanced artificial intelligence systems, known as “frontier models.” Companies that develop or deploy frontier models should conduct a threshold analysis to determine whether SB 53 applies and begin building the internal governance infrastructure the law requires. Following up on
In 2026, a wide range of California laws regulating the development, marketing, and use of artificial intelligence (AI) go into effect. Together, these bills impose new requirements on generative AI developers, frontier-model companies, healthcare-related AI tools, platforms distributing AI-generated content, and businesses that rely on algorithmic pricing. With the deadline to comply coming up quickly