When organizations face hard decisions about technology and data—novel issues, or situations where something has already gone wrong—I’m the person they call. They trust me to be direct and to never lose sight of the people facing the problem.
Kate’s practice sits at the intersection of law, data, and technology — advising organizations on how to govern, protect, commercialize, and build with data and AI across the full arc of their operations.
She represents a wide range of clients on matters spanning AI governance and strategy, data law, privacy, cybersecurity, commercial technology transactions, and information governance. Her practice covers the full spectrum of regulated and sensitive data: from personal information governed by U.S. and E.U. privacy frameworks, to financial data, trade secrets and other intellectual property, proprietary business information, export-controlled technical data, protected health information, and critical infrastructure information such as CEII. A key part of her value to clients is recognizing when a transaction or issue implicates specialized regulatory requirements — and ensuring they have the right expertise to address them.
She works closely with clients to understand their objectives and identify risk — always keeping an eye on both the evolving regulatory landscape and the client’s broader strategic goals. The aim is to deliver solutions that are legally sound, commercially sensible, and built to hold up as the law and technology continue to change.
Her engagement with AI is not new. Well before generative AI entered the mainstream conversation, she was advising clients on the legal and commercial dimensions of machine learning, predictive analytics, facial recognition, and IoT — at a time when these technologies were just beginning to move from research into enterprise deals and real-world deployments. That foundation shapes how she thinks about the AI and data questions businesses face today.