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The FTC's settlement with OkCupid reveals critical enforcement patterns around data privacy compliance, particularly when companies share user information with AI vendors in ways that contradict their published...

AI contracts provisions are business-critical. Ownership, training rights, and data use terms can shape, or sink, your competitive edge.

Courts are taking a closer look at holding company structures when evaluating veil-piercing claims.

We've been coming across a common scenario. Your company just rolled out an AI-powered feature. It's fast. It's scalable. It's doing great in demos.

As artificial intelligence becomes embedded in healthcare systems—from patient portals to back-end documentation—organizations face critical questions about how HIPAA applies to AI-driven data flows. When AI features access protected health information, can vendors use that data to train models? Do business associate agreements actually reflect how these tools work? Understanding the full AI stack, from model providers to subprocessors, is essential for healthcare compliance in 2026.

Artificial intelligence regulation reached an inflection point in 2026. What was once a patchwork of voluntary frameworks, agency guidance, and sector-specific rules is rapidly evolving into a more structured...

State legislatures are changing data privacy laws quickly while the federal framework is still unsettled. One thing is clear, which is that businesses are expected to understand which AI systems they use at any given moment, what data those systems rely on, how AI decisions impact people, and whether the appropriate legal safeguards are in place.

There often comes a point in a company's trajectory when the structure it was built on, which was practical in the earlier days, no longer reflects the scale of the business.

Termination for convenience clauses in vendor contracts appear straightforward until someone wants to exit. What happens to data migration, AI outputs, implementation costs, and IP rights when the relationship ends? Understanding these exit mechanics can mean the difference between a clean departure and an expensive operational dispute.

The Mobley v. Workday case reveals critical gaps between AI vendor contracts and actual liability exposure when algorithmic tools make high-stakes business decisions. As courts examine whether AI vendors can be held responsible for discrimination in hiring, companies face a dangerous mismatch: traditional SaaS contract terms that cap liability at subscription fees while the technology influences decisions that could trigger millions in regulatory penalties and litigation costs.