Stanford Uses LLMs to Scan Local Laws, Finding Discriminatory Provisions

Stanford RegLab used an LLM-assisted pipeline to scan local codes across 9,623 US jurisdictions (3 billion words, covering 252 million people), surfacing some 10,000 discriminatory provisions still on the books.

2026-09-08 ~ 2026-09-09 · 2 related posts

• Stanford HAI Uses LLMs to Scan 9,623 Local Legal Codes, Finds Segregation Laws Still on Books — StanfordHAI · 2026-09-08
• Stanford AI review scans 9,600 jurisdictions, flags ~10,000 discriminatory local laws — StanfordHAI · 2026-09-09