UNLV Boyd Law launches required AI course for first-year students

Per the Boyd School of Law announcement, the William S. Boyd School of Law at UNLV will require first-year students to take "Introduction to the Responsible Use of Artificial Intelligence" starting in fall 2026. The school describes the course as offering practical, hands-on experience with generative and agentic AI tools while centering ethics and the concept of keeping a human in the loop. The announcement quotes Professor Rapoport: "Artificial intelligence is already changing how legal work gets done," and Professor Regalia: "Lawyers still need to think critically, exercise judgment, and protect their clients' interests." Reporting by the Las Vegas Review-Journal adds that Las Vegas judges and practicing lawyers called the course essential for preparing students but expressed skepticism about AI's future in legal settings.

Per the school announcement, the course will teach students foundational subjects including ethical considerations for AI in legal practice, strengths and weaknesses of AI platforms, prompt engineering and effective AI workflows, AI bias and predictive reasoning challenges, process improvement and innovation thinking, and practical legal applications. The release states the course will demonstrate using AI as a study tool and as a drafting aid within concrete doctrinal classes such as Contracts, Civil Procedure, and Torts.

Editorial analysis - technical context: Law school training that pairs doctrinal instruction with hands-on tooling exposure addresses a growing gap between traditional legal pedagogy and practice-ready technology skills. Law practice workflows commonly involve document review, contract drafting, legal research, and analytics; teaching prompt design, bias awareness, and human-in-the-loop verification maps directly to those workflows. Graduates with structured exposure to prompt engineering and verification workflows can help reduce onboarding friction for practitioners and may lower the initial effort needed to reach baseline competence.

Law schools have begun adding technology and ethics coursework in recent years, but requiring a dedicated course on responsible AI for an entire first-year cohort signals stronger curricular prioritization. For the legal-tech ecosystem, mandatory training at a US law school increases the pool of entry-level lawyers who are conversant in both capabilities and limitations of generative systems, which may accelerate demand for tools that integrate audit trails, explainability, and human-review workflows.

Reporting context: The Las Vegas Review-Journal coverage highlights a mix of endorsement and caution among local judges and lawyers, indicating professional stakeholders expect practical benefits from AI while remaining reserved about courtroom admissibility, reliability, and professional responsibility implications.

For practitioners and observers: gauge whether other US law schools adopt similar required curricula and whether state bar associations publish new guidance tying AI use to ethical rules. Track vendor responses: offerings that embed provenance, red-teaming reports, or built-in verification steps may see stronger uptake in legal settings. Also watch for empirical studies or pilot outcomes from Boyd Law assessing how graduates apply AI tools in internships and early practice, and for any formal statements from Nevada bar authorities or courts clarifying acceptable AI-assisted workflows.

Observed patterns in similar transitions: When professional schools mandate tooling literacy, vendors and employers often converge on shared standards (file formats, audit logs, model provenance) within months. For legal teams, the near-term focus typically centers on integrating AI as an assistive drafting and review layer with clear human oversight, rather than as an autonomous decision-maker.