PreparedAI course for judges, planned for February 2027
A working-draft binder for the same course: the court system’s AI policy, the two activities faculty proposed, two cases, a federal standing order, the AI Evidence Clinic statute and the national reading. Faculty decided what went in.
The packet
Rebuilt for this portfolio from the packet as sent. The words are the packet’s own: roles stand in for names, A State Judicial Institute for the college, and seasons for exact dates.
What the research says, and where it went
“What the authors report. Limited access to legal sources and official pagination constrained citation verification. The authors identify access barriers for self-represented litigants. These findings do not establish that account price caused differences in output quality. The Free Law Project (April 16, 2026) describes the same pagination gap in free sources.”
Page 6 · Liu, Stammbach & Henderson (arXiv, 2026), on whether AI agents can detect fabricated citations, and the Free Law Project (2026)
“A comparison should not presume the paid answer is better.”
Page 6“Approval of a tool isn’t approval of every input, account, or use. [...] Inputs and outputs (§§ VII to IX). No confidential, sensitive, or nonpublic case information or PII in third-party prompts. Screen even public documents. Verify outputs independently.”
Page 4 · The Judiciary’s Policy for the Acceptable Use of AI Tools and Platforms (Policy 9.7) and its Appendix A
“Build the selected task around the applicable instructions and a visible review step.”
Page 4“Bias. Video 9, Understanding AI Limitations and Flaws (transcript in the appendix), tells employees to verify that content is “completely free from unintended or undesirable bias.” The Judicature primer and NIST sources in §2.4 discuss identifying and managing bias. Is that gap something participants should notice in the critique activity?”
Page 12 · The Judiciary’s AI training, Video 9, Understanding AI Limitations and Flaws, with NIST SP 1270 and a Judicature primer
Page 12“District of Maryland, Standing Order 2026-03, In Re: Use of Generative Artificial Intelligence in Court Filings, filed August 5, 2026, one page. [...] Accuracy in filings by attorneys and unrepresented parties, including fabricated authorities, quotations, and factual representations; possible sanctions and disciplinary consequences. [...] A federal district-court order. Not a Maryland state rule and not the Judiciary’s employee policy.”
Page 8 · U.S. District Court for the District of Maryland, Standing Order 2026-03, In Re: Use of Generative Artificial Intelligence in Court Filings
“Faculty can decide whether a short comparison is useful and which passage deserves attention.”
Page 8“Courts and Judicial Proceedings § 13-101.2 [...] directs the Administrative Office of the Courts to establish the Artificial Intelligence Evidence Clinic Pilot Program: expertise and expert testimony on electronic evidence that may have been created or altered using AI. Subsection (c)(3) prioritizes civil cases where a party lacks representation or reasonable access to expert testimony. Operational status: unconfirmed in the sources reviewed.”
Page 9 · Courts and Judicial Proceedings §13-101.2 (Chapter 17, Senate Bill 655)
“The AI Evidence Clinic statute adds a second access question: what help is available when the authenticity of electronic evidence is disputed?”
Page 9