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LOCUS corpus makes U.S. local laws machine-readable

By PulseAugur Editorial · [1 sources] ·

A new machine-readable corpus called LOCUS has been created to address the challenge of accessing and understanding U.S. local ordinances. This corpus contains over 9,000 city and county codes that have been OCR'd and scored for opacity and paternalism. An additional 7,000 codes are held back for future benchmarks to test model memorization versus retrieval of local legal information. AI

IMPACT Enables AI models to better understand and process local legal information, potentially improving access to justice.

RANK_REASON Creation of a new corpus for legal research. [lever_c_demoted from research: ic=1 ai=0.4]

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LOCUS corpus makes U.S. local laws machine-readable

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Creation of a new corpus for legal research. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · BenjaminHan ·

    How much U.S. law is technically public but nearly impossible to read at scale? Local ordinances are the big gap. LOCUS is a machine-readable corpus of them, OC

    How much U.S. law is technically public but nearly impossible to read at scale? Local ordinances are the big gap. LOCUS is a machine-readable corpus of them, OCR'd from 9,239 city and county codes and scored for opacity and paternalism. It also holds back 7,000 more codes behind …

    LINKS benjaminhan.net/…/20260714-locus-local-or…

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