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News & Updates

April 2025

Meet Juan Perla

Resources and updates from Working Groups and the RAILS Team

Curated information about AI in legal services

Participant Spotlight 🔦

Juan Perla is a partner and artificial intelligence practice leader at Curtis, Mallet-Prevost, Colt & Mosle LLP in New York. As a litigator specializing in international business matters, he focuses on cross-border and multi-jurisdictional disputes in US courts and international arbitral tribunals. 

With a deep interest in technology's impact on legal services, Juan also focuses on artificial intelligence, viewing it as a potential game-changer for the legal profession and business generally. He is committed to understanding how AI can transform legal practice for the better, working to ensure that his firm and clients remain at the forefront of technological innovation in the legal industry.

Read more.

Initiatives from the RAILS Network 🌱

New resource! 

We're compiling research and news articles related to access to justice, tech innovation, and regulation of the practice of law. 

View the AirTable or suggest an addition

Venn diagram showing the intersection of GenAI & Tech Innovation, Access to Justice, & Regulation of Practice of Law
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Risk Management Framework Guidance for Corporate Legal Teams

A step-by-step “how-to” guide, not just a compliance checklist. Published from RAILS in March 2025.

Learn More

Use Cases for GenAI in Legal

Review the first ten one-pagers about use cases for GenAI in legal, published from RAILS in February 2025. 

Submit a suggested addition by using our template!

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LinkedIn Group for RAILS Participants

Connect with other participants in RAILS on LinkedIn in our new group.

Join Now

Attending a Conference?

If you're presenting at a conference and want to share about RAILS resources, you may use these slides (PDF or PowerPoint).

Email us at rails@law.duke.edu to let us know where and when you'll be sharing about RAILS resources.  

We can mail you handouts and even small buttons to give out to other attendees - submit this form no less than 1 week in advance. 

AI News and Research 🎙️

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