Safe AI for Government Legal: How to Choose Gen AI You Can Stake Your Reputation On

Safe AI for Government Legal: How to Choose Gen AI You Can Stake Your Reputation On

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Artificial intelligence is transforming government legal departments — and fast. AI adoption has surged from just 1% in 2024 to 28% in 2026, as state and local governments look to technology to help them tackle mounting workloads. But with that momentum comes a critical question: is the AI your organization is using actually good enough to trust?

For government legal professionals — prosecutors, state attorneys general, city attorneys, county counsel, public defenders and others — the stakes remain high amongst a myriad of existing pressures. Your decisions affect citizens, communities, and the integrity of public institutions. In an environment where AI regulation is still catching up, choosing the right solution isn't just a technology decision. It's a matter of professional and public trust.

Join us for this practical webcast where we'll explore:

The state of government legal work today — key challenges, resource pressures, and what the data tells us about where the profession is heading
The promise and the risks of Gen AI — why hallucinations, privilege concerns, and the lack of regulatory guidance make choosing the right AI partner more important than ever
What fiduciary-grade AI actually looks like — and why trusted legal content, not just technology, is the foundation of a safe Gen AI strategy
A live demo of CoCounsel Next — see how deep research, drafting, and the integration of Westlaw and other trusted content satisfies the real-world needs of state and local government attorneys

AI isn't going away — but not all AI is created equal. When your margin for error is zero, you need a partner who has been working with legal content and technology for more than 100 years, not a newcomer to the space.

Busy at this time? Register anyway! We’ll send you a copy of the webinar recording to watch at your leisure after the event has aired.

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Speakers

Rabihah Butler

Manager Enterprise Content – Risk Fraud and Government

Rabihah Butler is the manager for enterprise content for Risk Fraud and Government.

Before coming to Thomson Reuters, Rabihah worked in the legal and Risk Management area. Immediately following law school, she worked as a litigation attorney at small to medium sized law firms in the Washington, DC Metro Area. During this time she represented both individuals and organizations in many areas of law before the circuit and appellate courts. Later in her career, she worked with major financial institutions in the regulatory and risk management area.

At Thomson Reuters, Rabihah reviews the past present and future of the Government, Regulatory, Compliance, Fraud and Risk Management climate. Rabihah’s work can be found in collaborations over blogs, podcasts, webinars, personal appearances and more.

Rabihah is originally from New Jersey. She graduated from Seton Hall University (with a Bachelors in Political Science and communication) and American University – Washington College of Law (with a juris doctorate).

Zach Ratzman

Director of Product Management for Practical Law

Zach Ratzman is a Director of Product Management for Practical Law, where he focuses on Practical Law for U.S. law firm, corporate in-house, government, and law school users. Zach joined Practical Law in 2015 from the Office of the General Counsel at the U.S. Department of Homeland Security in Washington, D.C., where he advised senior department leadership on privacy, information sharing, and congressional oversight matters. Before that, Zach worked for nearly a decade at several major law firms in New York City, where his practice focused on securities fraud and commercial litigation. He began his legal career as a law clerk to the late Honorable Harold Baer, Jr. in the U.S. District Court for the Southern District of New York in Manhattan. Zach received his law degree, magna cum laude, from the University of Michigan Law School, where he was elected to Order of the Coif.