Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States
JA title: 法律AIの基盤整備：米国地方条例の大規模データセット LOCUS
What to read for
3 checks before implementation
- 01Article focus
米国の地方自治体の条例（市区町村の細かいルール）は、これまでコンピュータが読みやすい形で整理されていませんでした。
- 02Operational lens
法律系企業・士業事務所、不動産・建設会社の法務部が対象。
- 03Verify in source
arXiv (cs.CL) (Research): check the dataset, evaluation setup, and adoption assumptions for Knowledge Management.
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.…
ゼロビズAX View — How Japanese companies can apply it
法律系企業・士業事務所、不動産・建設会社の法務部が対象。地方条例の自動解析・検索機能の実装、コンプライアンス調査の効率化が可能。導入は既存の法律AI基盤（LLM等）と組み合わせて検討。学術的リソースのため商用化は要確認。費用感は情報不足だが、自社システムへの組み込みには開発コスト必要。
Plain-language glossary
Simple explanations of the technical terms used in this article.
- LLM（大規模言語モデル）
- The 'brain' behind chat AIs — a model trained on huge amounts of text to understand and write language.
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Primary source: https://arxiv.org/abs/2606.19334v1
This article is an AI-generated summary of overseas primary sources. Translations or summaries may be imperfect — always confirm the original before making implementation decisions. The "ゼロビズAX View" is our applied interpretation and does not guarantee any specific outcome.
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