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Tate has spent over two decades advising organizations, much of that time inside the organization. He has served as outside counsel and as Chief Legal Officer to several technology companies. Privacy law, AI governance, and general business matters are his focus. This includes predictive systems and automated decision-making, which are critical to understand for regulatory frameworks such as the EU AI Act, FTC Act, state privacy laws, and other emerging AI-specific requirements.
"Privacy and trust are accelerators for business. The questions we need to be asking ourselves around privacy are: what did our systems predict, and what did we do with it?"
In February 2026, Tate published Privacy After Prediction: Redefining Privacy for a Post-Human Speed World ( https://www.amazon.com/dp/B0GQLFHGMB) - a book for executives, policymakers, and technologists on why the legal infrastructure built around check-the-box consent and data collection was never designed for systems that predict behavior rather than observe it, and what that shift requires from compliance, governance, and policy.
Tate speaks on predictive harm, data minimalism, and AI governance for legal, policy, and executive audiences, including university programs. He has served as guest lecturer for MBA programs at both Cal State San Bernardino and Pepperdine.
Outside the office, he prioritizes family time, sails a Hobie whenever the wind cooperates, and maintains strong opinions about local taquerias.
Tate graduated from the University of Minnesota with a B.A. in Economics. He received his J.D. from Thomas Jefferson School of Law on scholarship and during that time was a visiting student at Pepperdine University School of Law, Malibu, CA.
Tate received his Privacy Law and Data Protection Certification from the University of Pennsylvania.

In an era where your smartphone tracks every step, quantum computers shatter unbreakable codes, and AI predicts your next move before you do, privacy isn't just eroding, it's being redefined. "Privacy After Prediction" by Tate Hilmoe exposes the fragile illusions of our digital defenses: encryption that's time limited, consent that performative, and data ownership that's a myth. As quantum computing and artificial intelligence converge, surveillance shifts from observation to omnipresent prediction, turning free lives into managed patterns.
But this isn't a tale of inevitable surrender. Hilmoe champions a bold path forward: data minimalism to collect less, self-custody to reclaim control, and decentralization via blockchain to dismantle centralized power. Drawing on real-world examples, from Hong Kong protests to everyday breaches, this book equips policymakers, technologists, and everyday users to forge a "post-human speed" world where privacy endures as a human right, not a relic.
Provocative, urgent, and empowering, "Privacy After Prediction" is your guide to defending autonomy in an accelerating age. If we don't shape privacy now, algorithms will decide for us. Are you ready to reclaim what's yours?
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