Miami Law & AI (MiLA): Events & Initiatives

On March 28, the Miami Law & AI Lab proudly hosted our first-ever AI Lawyering Conference & Competition!

This pioneering event brought together over 100 law students, practitioners, faculty, and legal tech experts to explore the practical applications of AI in legal settings.
This event was a testament to AI's growing role in the legal profession, sparking insightful discussions and showcasing the next generation of legal innovators.

Congratulations to our outstanding winners:
🏆 1st Place: Brhea D'Mello and Riya Goel (University of Miami)
🥈 2nd Place: Dax Jesus Sotero and Sunny Patel (Florida International University)
🥉 3rd Place: Nailah Morris, Johnathan Kramer, and Tomás Borenszteyn (Nova Southeastern University)

Special thanks to our generous sponsors Bloomberg Law, LexisNexis, and Hogan Lovells, and to all participating law schools from University of Miami, Florida International University, Nova Southeastern University, and St. Thomas University.

This event marks just the beginning of our work exploring the intersection of AI and law.

More Information

This comprehensive session on January 29, 2025, explored the evolving landscape of artificial intelligence regulation across the EU and US jurisdictions, with a particular focus on its implications for legal practitioners and their clients. Through expert analysis and practical case studies, participants gained valuable insights into the complex regulatory frameworks governing AI technologies and their impact on cross-border transactions.

Speakers:
Dr. Or Cohen Sasson,  Director of the MiLA Lab, University of Miami School of Law
Prof. Michael Froomkin, Professor of Law, University of Miami School of Law
Logan Breed, Partner, Hogan Lovells, (US Practice)
Dr. Falk Schöning, Partner, Hogan Lovells, (EU/German Practice)

Florida CLE approval: 1.5 General and 1.5 Technology

This project aims to develop an LLM-based tool that automates the process of creating Bluebook-compliant legal citations. The main mission of the AI Bluebook project is to create an accurate and efficient LLM-based tool that automates Bluebook citations, reducing errors and saving time for legal professionals and scholars. The tool will utilize an agentic flow environment, where multiple AI agents with specialized roles work together to handle different aspects of the citation process. This approach will allow for a “divide-and-conquer” strategy, breaking down the complex task of Bluebook citing into manageable subtasks. Key features of the AI driven Bluebook Citation tool include Multiple AI agents with specialized roles, integration of system prompts and Retrieval-Augmented Generation (RAG), and collaboration between UM law and computer science students.

The AI & Law Research Award is an annual initiative led by the Miami Law & AI Lab to support cutting-edge research at the intersection of AI and law. Each year, promising scholars and practitioners are selected to receive funding and computational resources for their pioneering projects.

The Miami Law & AI Lab is funding six pioneering projects through the AI & Law Research Award program, advancing innovation at the intersection of AI, law, and government:

Human Trials of Anti-Genrative AI Biases in Patent Law
Mike Schuster - University of Georgia, US
Joseph Avery - University of Miami, US

Large Language Models and the Jurisprudence of Vibes
Ben Sobel - Cornell Tech, US

Bias as a Signal: Harnessing Foundation Models' Data-Driven Bias to Inform Contractual Legal Standards
Uri Hacohen - Tel Aviv University, IL

Navigating Decentralized Approaches to AI: Challenges in US State-Level Regulation Without Federal Oversight
Elijah Boykoff - University of Colorado Boulder, US

Imposters: Unregulated Medical Advice from AI Chatbots in the US and EU
Mindy Duffourc - Maastricht University, NL
Roni Kennedy, Riya Goel - University of Miami, US

Graph-Based RAG System for Automated Detection and Legal Validation of Abusive Clauses in Financial Contracts
Makdihel Laudino Santillán, Philippe Prince Tritto, Hiram Ponce, and Karina Ruby Perez-Daniel - National Commission for the Protection and Defense of Users of Financial Services & Universidad Panamericana, MX

Development of an online video library focused on AI literacy, skills, and applications
in the legal domain, designed for future law students.

ClassInsight is an innovative AI-powered tool developed by the MiLA Lab that transforms
classroom engagement and assessment.
ClassInsight uses real-time analysis of data collected during class to provide two main outputs:
(1) Classroom-Wide Visualization: Anonymized, collective visual insights for the professor
regarding class-wide comprehension.
(2) Personalized Student Feedback: Tailored feedback for each student regarding their
performance and level of understanding.
ClassInsight's output is generated and available in real-time, allowing professors to adapt and
adjust the class based on the insights.
Also, the tool enables students to recognize misunderstandings on the spot and explore them
further during class.
Faculty interested in early access to the tool are welcome to contact us.