Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States
Progress in legal AI increasingly depends on access to authoritative legal text at scale. Yet one of the most consequential layers of American law remains largely absent from existing machine-readable corpora: local ordinances. Local codes govern zoning, housing, business licensing, public health, noise, animal control, and many other domains of everyday regulation, but they are fragmented across vendor platforms designed for human browsing rather than bulk research access. We introduce LOCUS - the Local Ordinance Corpus for the United States - a comprehensive corpus and county-harmonized access layer for U.S. municipal and county ordinance codes. The raw corpus, available for release to ...
| Authors | Denis Peskoff, Joe Barrow, Christopher Vu et al. |
|---|---|
| Primary category | cs.CL |
| Published | 17 June 2026 |
| Last updated at source | 17 June 2026 |
Models and datasets referencing this paper
- incrediblecrab/us-local-lawsDataset
- LocalLaws/LOCUS-v1Dataset
- shubhranshu/LOCUS-v1Dataset
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