Good to see someone thinking about this…

https://ojs.stanford.edu/ojs/index.php/grace/article/view/4337

Regulating LLMs in Warfare: A U.S. Strategy for Military AI Accountability

Large language models (LLMs) are rapidly entering military workflows that shape intelligence synthesis, operational planning, logistics, cyber operations, and information activities, yet U.S. governance has not kept pace with their distinct risk profile. This memo argues that existing frameworks remain ill-suited to LLM-enabled decision-support: international efforts under the UN Convention on Certain Conventional Weapons focus primarily on lethal autonomous weapons, while U.S. policy relies on high-level ethical principles that have not been operationalized into enforceable requirements for evaluation, monitoring, logging, and lifecycle control. The paper identifies four core risks arising from LLM deployment in high-consequence contexts: inadvertent escalation driven by overconfident or brittle recommendations under uncertainty; scalable information operations and disinformation; expanded security vulnerabilities including data poisoning, prompt-injection, and sensitive-data leakage; and accountability gaps when human actors defer responsibility to opaque model outputs. In response, the memo proposes a U.S. regulatory framework organized around four pillars: (1) human decision rights and escalation controls, including documented authorization for crisis-sensitive uses; (2) mandatory human review and traceability for information-operations content; (3) baseline security, data governance, and continuous adversarial testing for training and deployment pipelines; and (4) accountability mechanisms, including auditable logs and incident reporting overseen by an independent Military AI Oversight Committee. The memo concludes that LLM-specific guardrails complement, rather than displace, existing weapons autonomy policy and would strengthen U.S. credibility in shaping international norms for responsible military AI. This paper was submitted to Dr. Cynthia Bailey's course CS121 Equity and Governance for Artificial Intelligence, Stanford University

More general than this lawyerly orientation.

https://mrquarterly.org/index.php/ojs/article/view/46

Artificial Intelligence and the Transformation of Legal Practice: From Automation to Augmented Lawyering

The rapid rise of artificial intelligence (AI) is transforming the legal profession worldwide. Rather than replacing lawyers, AI reshapes legal workflows, automating routine tasks such as research, document review, and contract analysis, while enhancing human judgment, ethics, and strategic decision-making. This article examines these changes through theoretical and empirical lenses, focusing on the French legal system. It highlights organizational shifts in law firms, including new governance structures, multidisciplinary teams, and AI management practices ensuring ethical compliance and data security. The article concludes that the future of law lies in human–machine collaboration, where AI augments lawyers’ professional values of responsibility, trust, and justice: from Automation to Augmented Lawyering.

Lawyers should have been doing this, right?

https://sd34.senate.ca.gov/news/reuters-california-senate-passes-bill-regulating-lawyers-use-ai

Reuters - California Senate passes bill regulating lawyers' use of AI

A bill passed on Thursday by the California Senate would require lawyers in the state to verify the accuracy of all materials produced using artificial intelligence, including case citations and other information in court filings.

The measure, which appears to be one of the first pending in a state legislature on the use of AI by lawyers, has gone to the State Assembly for consideration.

In addition to governing California lawyers' use of AI, the bill prohibits arbitrators presiding over out-of-court disputes from delegating decision-making to generative AI and from relying on information produced by AI outside case records without first telling the parties involved.

https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202520260SB574