We believe Artificial Intelligence (AI) is only as trustworthy as the systems it’s built on. Before we build AI into our products, we make sure the fundamentals (sound governance and the confidentiality, integrity, and availability of data) are solid. Everything we do with AI starts there.
AI is built to support the people using our products, not replace their judgment. Every workflow that touches case or client data keeps a person in the loop.
We align our products and controls with the standards courts already trust, including CJIS and SOC 2, and we hold our AI work to that same bar rather than a separate, looser one.
We’re early in our AI journey, and we’re deliberate about it. We’d rather move carefully on a solid foundation than rush out features before the controls are ready. As we release new AI capabilities, this page will grow with them.
A Practical Guide for Understanding and Using AI in Your Court
Information about AI is coming from every direction, and it’s hard to know what to trust. This guide helps courts cut through the noise with short- and long-term planning steps, secure ways to start exploring AI, and a curated list of reputable resources on AI policy, ethics, and risk.
AI Rules for Justice Are Already Being Written. Is Your Court in the Room?
AI is already showing up in court filings, and states are writing their own rules faster than a single federal standard can emerge. This blog post breaks down the rules and proposals taking shape, the questions to ask any AI vendor about your court’s data, and why now is the time to build a plan.
AI in Courts: Where Are We Really, and What Should You Do Next?
Feeling behind on AI? This Scaling Justice episode gives court leaders an honest look at where courts actually stand on AI adoption. Guidehouse experts share practical first steps, from setting an AI governance policy and getting your data in order to starting with small, high-impact pilots, whatever your court’s size or budget..