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
- How Courts Use Complexity: 35 Years NP-Complete Citations, Cite/Ignore October 17, 2026
- How to Verify NER Clause-Extraction Benchmarks on 2024 SEC 10-K Risk Factors October 14, 2026
- PDF Clause Extraction Accuracy: Layout-Aware Parsers 2026 SEC Filings F1 vs Latency October 11, 2026
- Automated Clause Extraction: 89% Precision vs Recall in 2026 Colorado Opinions October 8, 2026
- Public Agency PDFs: Check DOJ Title II Accessibility Standards and Deadlines October 4, 2026
- Out of State Executor Bond: $1,500 Premium vs 214 Days - File or Block September 30, 2026
- 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