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Large language models could identify exploitable gaps in legal systems
See how this story connectsFelix Ringe, a visiting fellow at Stanford Law School, and collaborator Linus Folkerts argue that large language models have become potent enough to identify exploitable inconsistencies in legal systems at scale. They cite potential gaps in German law that they found with LLMs, including an amendment to the Occupational Diseases Regulation that they say omits a required reference to its statutory authority, and a transit visa rule that may be invalid. Ringe and Folkerts say AI systems could jeopardise the functioning of legal systems, and Ringe contends automated discovery of such gaps risks overwhelming the legal system’s ability to bridge them.
Why it matters
Ringe and Folkerts say lawmakers would need to significantly harden the legislative process, for example by using advanced AI, while Eric Goldman of Santa Clara University School of Law called that idea ambitious in the short term.
- When
- 2 Nov 2026
- ID
WTA-N-2026-0626- Where
- Germany, United States
- Who
- Stanford Law School, Santa Clara University School of Law; Felix Ringe, Linus Folkerts, Eric Goldman, Wendy Musell
Summary written with AI by wheresthe.ai, from The Register. Checked against the source on 2 Nov 2026.
Source copy: saved on 3 Nov 2026 to check this story and not republished, because the text belongs to its publisher. Also held by the Internet Archive.
Cite this story
WTA-N-2026-0626: “Large language models could identify exploitable gaps in legal systems.” wheresthe.ai, 2 Nov 2026. https://wheresthe.ai/d/de-large-language-models-could-identify-exploitable-gaps-in-2026-11/ (source: The Register).
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