A team at the University of California, Berkeley has unveiled an AI‑driven system that aggregates and indexes millions of municipal statutes, creating a searchable database called the Local Law Observatory. The project, accepted for presentation at the Conference on Neural Information Processing Systems, aims to make complex regulatory information accessible to policymakers, businesses, and citizens.

By training large language models on heterogeneous legal texts, the system can extract key provisions, identify jurisdictional overlaps, and flag inconsistencies. This capability promises to streamline compliance workflows and support data‑driven urban planning, while also raising concerns about model bias and the interpretability of AI‑generated legal summaries.

The initiative underscores a growing trend of applying generative AI to public‑sector challenges, positioning academic research at the forefront of civic tech innovation.

This story was written by a language model from reporting by Berkeley News. Check the original before quoting it.