United States: New Technology

Companies face significant legal, compliance and operational risks when contracting for AI technologies. This discussion explores the AI-specific provisions that organizations should address during vendor contracting, from disclosure obligations and data use to liability, audit rights and human oversight.

Explore cutting-edge insights on construction scheduling techniques, AI governance strategies, cybersecurity threats, and retail transformation. Discover how maintenance drives manufacturing value, pharmaceutical companies navigate uncertainty, and stablecoin issuers make critical regulatory decisions in an evolving business landscape.

Federal courts are increasingly scrutinizing AI-based patent claims with skepticism, invalidating patents that merely apply machine learning to specific domains without demonstrating genuine technical innovation. Recent decisions like Recentive Analytics v. Fox Corp. and In re Brian McFadden reveal that investors and counsel must now look beyond standard IP diligence to assess whether AI patent portfolios capture protectable technical improvements in model training, architecture

As artificial intelligence becomes embedded across virtually every business function, legal, privacy, and compliance professionals face an unprecedented challenge: governance models designed for a different era must now evolve at the same relentless pace as the technology they oversee.

Foreign operatives from North Korea are increasingly using stolen identities, AI technology, and facilitator networks to fraudulently obtain remote IT positions at U.S. companies, creating significant cybersecurity, sanctions, and workforce risks. This emerging threat requires employers to implement robust screening controls while carefully balancing fraud detection with antidiscrimination, immigration, and data privacy obligations.

The Federal Trade Commission has proposed a new policy statement targeting personalized pricing practices that use consumer surveillance data. This episode explores the agency's disclosure-based enforcement framework and examines how businesses can distinguish between lawful dynamic pricing and potentially problematic individualized pricing algorithms before the September 2026 comment deadline.

As artificial intelligence moves from contract documents onto construction sites, questions of liability, data privacy, and professional responsibility are becoming increasingly urgent. From autonomous equipment and biometric monitoring to AI-driven project administration, the construction industry faces a new frontier of legal risk that existing frameworks may not adequately address.

The Five Eyes intelligence alliance has issued an urgent warning that AI is fundamentally transforming the cyber threat landscape, with increasingly capable models enabling both rapid vulnerability detection and exploitation by malicious actors. Business leaders are being called upon to treat cyber resilience as a core strategic priority, with recommendations spanning attack surface reduction, accelerated patching, legacy system remediation, strengthened access controls, and incident preparedness. With the

Courts have escalated from warnings to enforcement on AI hallucinations in legal filings, with seven sanctions issued in the first six days of August 2026 alone. IP litigators face heightened exposure due to citation-heavy briefs, complex multi-factor tests, and cross-jurisdictional AI disclosure requirements that now include bar referrals for unverified AI-generated content.