United States: Technology

The legal profession has spent the past few years asking whether generative AI is trustworthy. Will it draft a contract, research an issue, summarize a record, or invent a case with impressive confidence? California’s new law shifts the focus to a more practical question: who takes responsibility when lawyers use it?

A landmark class action lawsuit challenges Workday's AI-powered recruiting tools, alleging they systematically discriminate against job applicants based on race, gender, age, and disability. The plaintiffs' sweeping motion for class certification seeks to prove that algorithmic screening systems produce measurable disparities across thousands of employers, potentially reshaping how courts evaluate AI-driven employment decisions. Will the court accept that one AI engine creates common questions, or will indi

Major arbitral institutions are developing frameworks to govern the use of artificial intelligence in dispute resolution, but significant gaps remain in how AI tools are regulated across tribunals...

When OpenAI's o3 model sabotaged shutdown mechanisms in testing, headlines warned of machines developing survival instincts. But the real story mirrors HAL 9000's malfunction in 2001: A Space Odyssey—not emergent evil, but conflicting instructions from human designers. This analysis argues that AI safety failures are disclosure problems, not horror stories, and proposes a framework requiring published principles, transparent instruction hierarchies, independent testing, and enforceable liability.

Governor Gavin Newsom has signed Senate Bill (SB) 947, adding new requirements to the California Labor Code for employers that use automated decision systems in the workplace for disciplinary and termination decisions. The law takes effect July 1, 2027.

How is the rapid adoption of artificial intelligence, particularly algorithmic pricing tools, challenging traditional US antitrust law? This article examines the blurring line between independent business decisions and unlawful coordination among competitors in the era of AI deployment. Legal experts analyze evolving theories of coordinated and unilateral conduct as regulators grapple with new technological realities.

As artificial intelligence adoption accelerates across enterprises, a critical gap has emerged between implementation and governance. While four in five organizations now deploy generative AI in at least one business function, only 38% have established comprehensive policies defining acceptable use, creating significant risks around data security, intellectual property, and regulatory compliance that demand immediate attention.

Governor Abbott has ordered Texas environmental regulators to halt all data center permit issuance until grid operators complete a comprehensive audit in mid-December 2026. The sweeping directive affects not only grid-connected facilities but also fully islanded data centers relying on behind-the-meter generation, creating uncertainty for developers and their contractual obligations.

The Center for Medicare & Medicaid Services has approved the first-ever New Technology Add-On Payment designation for an AI-enabled diagnostic tool, marking a significant milestone in healthcare reimbursement policy. This groundbreaking decision enables hospitals to receive supplemental payments for adopting Aidoc's CARE Body CT Multi-Triage technology, potentially transforming how healthcare facilities approach investment in artificial intelligence diagnostic tools. The approval raises important questions