# AI Models Risk Destabilizing Legal Systems by Exploiting Statutory Loopholes Large language models could automate the discovery of vulnerabilities in written legal codes. - **Source:** [www.theregister.com - Articles](https://www.theregister.com) - **Published:** 2026-11-02 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/cefa3716-7993-46f1-937d-7779feccf3a3 ## Legal Code as Software Legal scholar Felix Ringe posits that laws function similarly to computer code, containing inherent vulnerabilities that AI can exploit. By treating statutes as programmable logic, large language models can identify inconsistencies at a scale previously impossible for humans. This shift threatens to overwhelm the traditional judicial capacity to bridge these gaps. ## Historical Context of Analogy The comparison between legal and computer code traces back to 1995, notably through the work of William J. Mitchell and Lawrence Lessig. While previous scholars focused on how code governs cyberspace, Ringe reverses this logic. He argues that the legal system itself is a runtime environment susceptible to adversarial exploitation. ## Automated Gap Discovery Ringe and Linus Folkerts demonstrated this risk by uncovering potential flaws in German law using LLMs. One example involves an amendment to the Occupational Diseases Regulation, which allegedly omits a required statutory authority reference. These findings suggest that AI could systematically expose technical failures in the drafting of national legislation. ## Limits of the Analogy The mapping between software and law is imperfect because courts do not function like deterministic runtime environments. Trial outcomes remain inherently non-deterministic, unlike compiled code execution. Despite these discontinuities, the researchers argue that the sheer speed of AI-driven analysis could introduce a level of chaos comparable to software security ecosystems. ## Legislative Hardening Requirements To mitigate these risks, Ringe suggests that lawmakers must adopt advanced AI tools to harden the legislative process. By proactively identifying drafting errors before laws are enacted, governments could prevent the exploitation of statutory gaps. This defensive use of AI is presented as a necessary evolution for maintaining modern social order. ## Practical Legal Implementation Attorney Wendy Musell notes that AI adoption is already expanding within the judicial system, with courts like the LA Superior Court testing AI as law clerks. As AI begins drafting opinions and analyzing motions, litigators must account for potential biases and analytical failures inherent in current models during the judicial process. ## Expert Skepticism and Nuance Professor Eric Goldman acknowledges the logic of using AI to find statutory gaps but emphasizes the necessity of human review. He notes that many identified gaps may lack legal significance or consequence. Furthermore, legislatures often prioritize political goals over technical perfection, making the elimination of all statutory gaps a secondary concern. ## Future of Legislative Cleanup Goldman suggests that legislative counsel could integrate AI into standard cleanup protocols to improve draft quality. While ambitious, this approach could address drafting errors without requiring a total overhaul of the legislative process. The focus remains on using technology to refine legal text rather than relying on automated systems alone. ## Sources covering this story - https://www.theregister.com/ai-and-ml/2026/11/02/ai-could-break-legal-systems-by-finding-previously-hidden-loopholes/5307066 — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._