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
- Green Card Evidence Request: 82% Recall-First Hybrid vs Manual-Only September 6, 2026
- Norm AI Hits 92% Recall, 31 Minutes Saved on 500 NDAs September 4, 2026
- Tesseract OCR 5 Recall Proof: 1,240 PDFs, Row C Wins NDA Triage September 3, 2026
- Inside Take-Two's Sealed 2026 Subpoena: A Metadata Audit September 1, 2026
- Auto-Renewal at 91% F1: Annotation Ceiling, Not Model Skill August 31, 2026
- Article 63's Ratchet: $0 Egress Rewrites Cloud Exit Clauses August 29, 2026
- California Probate: Affidavit vs. Letters Under the $184,500 Cap August 27, 2026
- CA Lease Arbitration: Open-Source LLM Cost, Latency & Data August 26, 2026