FJC AI Toolkit.
A platform teaching AI literacy to federal judges, delivering practical skills that help them navigate the ways that AI has burst into their courtrooms and into their judicial chambers.
The Federal Judicial Center, which is the primary research and education agency of the United States federal court system.
I built the team and led the engagement across three phases of work. The research phase mattered most. Before we designed anything, we had to understand federal judges' actual relationship with AI. What tools were they already using? What were their biggest concerns and what type of training or tools might help to overcome these fears? And most importantly – who did they want to be learning from? The answer that came back consistently to this last question was other federal judges. From there, we designed a curriculum and teaching platform centered on three areas: 1. The ethical use of AI tools, 2. Practical judicial use cases and 3. AI evidence in the courtroom
Because the federal government still uses Drupal, we also really focused on designing a simple and intuitive platform within the constraints of the Drupal CMS.
A teaching platform built around a few key design decisions. We led with practical tools rather than AI theory, producing how-to guides, checklists, and conversation guides that judges could put to use immediately. We used a peer-to-peer format throughout, with short video segments of judges explaining their own AI workflows in their own words. And in a federal-government landscape of information-dump websites no one reads, we designed a site that was minimal, judge-centered, and beautiful, containing only what judges actually needed.
