Technology companies are adopting AI across product development, customer support, internal operations, code generation, analytics, security, and platform functionality. For many of these businesses, AI is not just an internal tool, it is embedded directly into a product or service offering. That raises complex questions around data rights, model restrictions, customer commitments, output reliability, and downstream liability.

Key issues include:

• Ownership and permitted use of inputs, outputs, and customer data
• Restrictions on model training, fine-tuning, and downstream use
• Contract terms for AI-enabled products, APIs, and third-party tools
• Accuracy, explainability, and human review for customer-facing functionality
• Alignment of AI deployment with privacy, security, IP, and product compliance obligations

Building or selling AI-enabled products or services?

We help technology clients build AI governance into their product and service offerings and contracting lifecycle, enabling them to innovate quickly while preserving flexibility, reducing liability exposure, and protecting enterprise value.