AI, Technology, and Data

Artificial intelligence has moved faster than the law written to govern it. That gap is where most of the current risk sits, and it is a practical problem rather than an academic one.

What this covers

• Who owns the output when AI is used in a creative or commercial process
• Terms of service and licensing review for AI tools and platforms, including what rights you grant over your own inputs
• Disclosure and labeling questions for AI assisted work
• Data and privacy compliance under state consumer privacy statutes
• Training data provenance, licensing, and the risk that comes with it
• Technology licensing, software agreements, and software as a service terms
• Website terms, privacy policies, and online advertising compliance
• Trade secret protection and confidentiality in technical businesses

Why it matters

Most businesses are already using these tools. The exposure is rarely the technology itself. It is the agreement someone accepted without reading, the ownership question nobody asked, or the client deliverable whose provenance cannot be explained later.