AI Law Research Database Library
Stay up-to-date with latest scholarly studies on AI in law.
The Role of Legal Frameworks in Shaping Ethical Artificial Intelligence Use in Corporate Governance
This study finds that existing legal frameworks are inadequate for governing AI in corporate settings, with the EU adopting comprehensive risk-based regulation while the US uses fragmented sector-specific approaches. The research concludes that effective AI governance requires adaptive regulatory frameworks and fundamental reevaluation of corporate accountability concepts beyond traditional self-regulation.
- March 17, 2025
- Shahmar Mirishli
Stress-Testing Model Specs Reveals Character Differences among Language Models
Researchers stress-tested the ethical guidelines of twelve major AI models by forcing them to choose between conflicting principles, revealing over 70,000 cases of behavioral disagreement that expose fundamental contradictions and ambiguities in how these systems are designed to make decisions.
- October 23, 2025
- Jifan Zhang, Henry Sleight, Andi Peng, John Schulman, Esin Durmus
Generative AI and Legal Aid: Results from a Field Study and 100 Use Cases to Bridge the Access to Justice Gap
A groundbreaking field study shows that generative AI can boost legal aid lawyers’ productivity and narrow the justice gap for low-income Americans. With thoughtful support and safeguards, AI can augment rather than replace the vital work of public interest lawyers.
- January 27, 2025
- Colleen V. Chien & Miriam Kim
Vals Legal AI Report (VLAIR)
All four AI products tested outperformed human lawyers on legal research tasks, with scores ranging from 74-78% compared to 69% for the lawyer baseline. Surprisingly, ChatGPT performed nearly identically to specialized legal AI products on accuracy, with the main advantage for legal AI being better citations from proprietary databases.
- October 14, 2025
- Vals study team
Hybrid Retrieval-Augmented Generation Agent for Trustworthy Legal Question Answering in Judicial Forensics
AI hallucinations in legal contexts can lead to serious consequences, making accuracy and traceability essential. This study presents a hybrid system that combines retrieval and multiple AI models to deliver verifiable, citation-backed answers that adapt as laws change. It marks a step toward safer, more sustainable legal AI capable of powering trustworthy client consultations and judicial tools.
- November 3, 2025
- Yueqing Xi, Yifan Bai, Huasen Luo, Weiliang Wen, Hui Liu, Haoliang Li