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
- CILEX Apprenticeship Agreements: NLP Recall 91% vs Manual Review, 50 PDFs (2026) November 7, 2026
- EU AI Act Article 50: clause-level provenance checks for legal PDFs November 4, 2026
- California AI Laws: How to Meet AB 2013’s January 1, 2026 Training Data Disclosure Mandate November 1, 2026
- Public Sector Legal Tech 2026: NLP Clause Extraction at 85% Recall for Compliance October 29, 2026
- Contract clause extraction: CUAD (Contract Understanding Atticus Dataset) 510: Regex Wins October 26, 2026
- Mortality Risk Scoring Guide: LexisNexis Risk Classifier Uses 2026 Alternative Data October 23, 2026
- Rand v. Claremont: Verify Funding Options Before Committing October 20, 2026
- How Courts Use Complexity: 35 Years NP-Complete Citations, Cite/Ignore October 17, 2026