Building AI literacy with role-based learning
Introduction
Generative AI is transforming how courts automate processes, streamline workflows, and serve the public — creating opportunities for efficiency while raising questions about ethics, accuracy, and fairness. To help courts implement AI responsibly, the TRI/NCSC AI Policy Consortium for Law & Courts developed AI Literacy for Courts. Created by the consortium's workforce readiness workgroup, this role-based learning and offers tailored pathways.
Who is this for?
- Judges
- Administrators
- Staff attorneys
- Court reporters
- Court clerks
- Interpreters
Why this guidance matters
Our role-based training includes more than 20 curated resources — from videos and webinars to guidance documents — tailored to the unique needs of each role. Eight resources apply to all, while others target specific positions with tailored content that addresses their unique responsibilities and challenges.
AI Literacy for Courts covers:
- Ethical principles like fairness, transparency, and human oversight
- Practical applications for HR, translation, chatbots, and legal research
- Guidance on emerging challenges, including deepfakes and AI "hallucinations"
TRI/NCSC AI Policy Consortium for Law & Courts
An intensive examination of the impact of technologies such as generative AI (GenAI), large language models, and other emerging, and yet-to-be developed tools.
Explore more
AI literacy for courts: A new framework for role-specific education
Learn about NCSC's role-based AI literacy tool and how it addresses the unique learning needs of different court roles. Take away practical strategies for implementing AI education within your court system.
Artificial intelligence (AI)
Explore AI use cases, guidelines for courts, and engage in the AI implementers' forum. The TRI/NCSC AI Policy Consortium provides a platform for legal thinkers and tech enthusiasts to discuss AI's impact on the justice system.