Justin Howard
AI Lawyer at legalpdf.io
Justin Howard is a PhD candidate in Legal Informatics at Stanford University, focusing on natural language processing for legal documents and automated contract analysis. His research explores clause extraction and compliance flagging in complex legal PDFs. Deep experience. Intellectual curiosity.
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Recent articles by Justin Howard
- California Confidentiality Termination Rules: 6 Fields, Not a Survival Sentence September 27, 2026
- Scanned Contracts Missing Clauses: 2% to 76.1% Rescan vs Auto-Certify September 24, 2026
- Google Android app distribution: 152-page tie vs comply scorecard September 21, 2026
- The Mike Smyth Show: Illegal street racing taking over the streets of Nanaimo September 18, 2026
- Find Indemnification Clauses in Vendor Contracts: 2% to 94.3% Trust vs Rescan September 15, 2026
- Scanned contracts miss indemnity: 88% vs 98.2% Flag vs Fix-and-Re-Extract September 12, 2026
- Find Indemnity Clauses in Scanned PDFs: 94% vs 61% Recall Test September 9, 2026
- Green Card Evidence Request: 82% Recall-First Hybrid vs Manual-Only September 6, 2026