Computational Legal AI Research
Advancing the intersection of artificial intelligence and legal science through cutting-edge research, innovation, and collaboration. Exploring the future of legal technology and responsible AI.
Our lab focuses on fundamental and applied research at the intersection of AI, law, and information science.
Deep learning for legal text analytics, document processing, and information extraction using state-of-the-art transformer models.
Fairness, robustness, and explainability of AI systems in legal contexts. Addressing bias and ensuring trustworthy AI deployment.
Developing knowledge graphs and semantic representations for legal information, enabling better reasoning and retrieval.
Building intelligent agents for legal document analysis, contract review, and regulatory compliance automation.
We welcome collaborations with academic institutions, research organizations, and industry partners.
We provide comprehensive support for students interested in AI, law, and information science research.
Engage in cutting-edge research projects on AI and Law. Work with state-of-the-art technologies and contribute to publications.
Receive personalized guidance from experienced researchers. Develop skills in research methodology, writing, and presentation.
Learn NLP, deep learning, legal informatics, and research best practices. Access workshops and training sessions.
Explore career paths in AI, law, academia, and industry. Network with professionals and alumni.
Email your CV and research interests to begin the conversation
Participate in lab seminars and research discussions
Collaborate on ongoing projects or propose new research directions
Present your work at conferences and workshops
Contribute to open-source research tools and datasets
We engage with industry partners through CECS VinUni, ensuring transparent collaborations that advance research while maintaining academic independence.
Partner with us on applied research projects that address real-world challenges in AI and Law. All collaborations are coordinated through CECS VinUni.
Engage with talented students and researchers through structured internship and talent development programs facilitated by CECS VinUni.
All industry partnerships and collaborations are coordinated through the CECS VinUni Corporate Affiliate Program (CAP) at the College of Engineering & Computer Science, VinUniversity. This ensures:
For industry partnership inquiries, please contact CECS VinUni Corporate Affiliate Program to explore collaboration opportunities.
Interested in collaboration, research opportunities, or student engagement? Contact us directly or reach out through our social channels.