AI & Machine Learning

AI Practical Education Series: Translating Legal Policy into Engineering Code

October 8, 2026 @ 12:00PM ET
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Overview
Speakers

Overview

Join us for the next session in the AI Practical Education series—a free member benefit featuring short, actionable sessions with ready-to-use AI techniques for privacy professionals. Register today for the session on Bridging the Gap: Translating Legal Policy into Engineering Code, taking place Thursday, October 8 from 12:00pm – 12:45pm ET. 

This webinar explores how legal teams and engineers can work together more effectively when building AI systems. As AI systems start taking real-world actions, like making financial changes or modifying customer data, the gap between legal policy and engineering code becomes a real risk. Traditional approval checklists and static policies are no longer enough– companies need new ways to manage risk. 

During this session you will learn practical methods to translate legal requirements into everyday product development, avoid common pitfalls (like AI tests that miss hidden bias or generate false alarms), and leave with easy-to-use tools that help legal, engineering, and business teams speak the same language. Join us to discover how to keep AI safe and compliant without slowing down innovation.

Register here to attend this live training webinar for FPF members. For questions, email [email protected].

Speakers

Maggie Rutz

Head, Account Management, Luminos.AI

Maggie Rutz leads account management at Luminos.AI, where she helps corporate legal and engineering teams replace slow, manual risk reviews with automated evaluation frameworks. With a background in executive consulting and process transformation at Gartner and The Hackett Group, Maggie focuses on helping organizations scale AI safely without sacrificing speed. She holds a B.A. from Vanderbilt University and completed training in Applied Generative AI through Purdue University.

Jameson Spivack

Deputy Director, AI, Future of Privacy Forum

Jameson Spivack is Deputy Director for the Future of Privacy Forum’s Center for Artificial Intelligence, where he focuses on AI governance issues, particularly in the context of privacy and data protection. His work also covers algorithmic/personalized pricing, biometrics, and immersive technologies like neurotechnologies and AR/VR. Previously, Jameson was an Associate with the Center on Privacy & Technology at Georgetown Law, where he worked on research and policy advocacy related to algorithmic technologies like face recognition in the criminal justice system. Jameson received his M.A. from Georgetown University’s Communication, Culture & Technology program, focusing on tech policy, and his B.A. in Government & Politics from the University of Maryland.