Mission
The Duke Center on Law & Technology prepares students for the growing landscape of technology in the legal profession through collaboration with Duke’s innovative and entrepreneurial initiatives, engagement with local entrepreneurs, and by providing educational opportunities at the intersection of technology and the law.
Applications for the current cohort of the Duke Law Tech Lab (DLTL), a pre-accelerator program for early-stage legal tech companies, closed in June 2018. Program runs July through September.
The Duke Law Tech Lab's 2018 Accelerator will run from July through September, with our Demo Day held in the evening on Friday, October 5, 2018.
“The law, from the way that large firms do business, to the way that courts operate, to the basic knowledge needed to aid certain clients, is increasingly tech-driven. So, from an educational perspective and a career-preparation perspective, we are positioning Duke Law to be a leader at the intersection of technology and the law.”
Photo: Kevin Seifert Photography
— Jeff Ward ’09, Director of the Duke Center on Law & Technology
Courses on Law & Technology at Duke Law
- Law of Robots and Exponential Technologies
- Frontier Tech of Legal Practice
- Contract Drafting: The Next Generation
- FinTech and the Law
- eDiscovery
- Introduction to Technology in the Law Office
- Information Privacy and Government Surveillance Law
- Frontier AI & Robotics: Law & Ethics
- The Law and Policy of Innovation: the Life Sciences
- Patent Law and Policy
- Data Breach Response and Cybersecurity Due Diligence
- Trademark Protection and the Changing Landscape of the Internet
- Law & Policy: Blockchain
- Designing Creative Legal Solutions
Meet our Fellows
Laia Bertran Manyé
Bertran Manyé's research areas include the new European Union’s Privacy Regulation, the General Data Protection Regulation (GDPR). Her main project is within EDRM, the organization that developed the well-known leading standards for e-discovery.
Cassi Carley
Carley's research interests include exploring ethical technology as a DCLT Fellow and through her participation in the Bass Connections' Moral AI and Adaptive Regulations groups.
EunYoung Song
Song has a PhD in neuroscience, and is finishing her MA in Bioethics and Science Policy at Duke. Her research interest include Brain-Computer Interface (BCI) technologies, their novel applications for physical and cognitive enhancement, and relevant concerns of privacy and potential health risks.