About Us

Andrew Burt is the co-founder and Managing Partner at Luminos.Law. He is also a visiting fellow at Yale Law School’s Information Society Project.

Previously, Andrew was chief legal officer at Immuta, where he founded and led the company’s legal engineering team, a group of lawyers focused on automating compliance requirements for data science environments. During his six years at Immuta, the company was named one of the 50 most innovative companies in the world by Fast Company and was valued at $1 billion. Prior to Immuta, Andrew served as special advisor for policy to the head of the FBI Cyber Division.

A frequent speaker and writer, Andrew has published articles on law and technology for the New York Times, the Financial Times, and Harvard Business Review. He holds a JD from Yale Law School.

Brenda Leong is a Partner at Luminos.Law. Brenda also serves as adjunct faculty teaching AI and Biometrics at the IE University Law School Executive Program. She is an Advisory Board member of the IAPP AI Center, and a trainer for their AI Governance Professional certification and training credential. Previously, Brenda was senior counsel and director of AI and ethics at the Future of Privacy Forum, where she oversaw the implementation and analysis of AI and ML technologies for FPF member companies. She is an expert speaker and instructor on digital identity and the responsible use of biometrics, with a focus on facial recognition, facial analysis, and emerging issues around voice-operated systems.

Prior to her work at FPF, Brenda served in the US Air Force. She is a 2014 graduate of George Mason University School of Law. She has taught Privacy, Security, and AI Law courses at Penn State Law and George Mason School of Law.

Ellie Graeden, Ph.D., is a Senior Data Science Advisor at Luminos.Law. She also serves as an adjunct Research Professor with the Georgetown University Massive Data Institute and Center for Global Health Science and Security. Dr. Graeden spent the last decade as CEO of Talus Analytics, a company focused on designing and building data products to align legal, policy, and data science requirements, and currently works as Chief Data and Product at Metron.

Jey Kumarasamy is a Senior Associate at Luminos.Law. Previously, Jey worked as a corporate and commercial lawyer in Toronto, Canada with a focus on technology transactions. He also has a technical background with software engineering experience in both the private and public sectors. Jey has a degree in mathematics and computer science from the University of Toronto, and is a graduate of McGill University Faculty of Law.

Blair Robinson is a Legal Fellow with Luminos.Law. Blair is an AI, data privacy, and cybersecurity attorney with hands-on experience in IT development and implementation. She is a former information technology architecture implementation consultant for Accenture, where she advised clients on data controls and testing procedures for complex system deployments. Prior to joining Luminos.Law, she was an associate with Robinson & Cole LLP's Data Privacy and Cybersecurity practice, where she worked to develop the firm's approach to AI governance. Blair is a Roger Williams University School of Law graduate and holds a Bachelor's of Science in Computer Information Systems from the University of Houston.

Setu Loomba is a Data Scientist at Luminos.Law. Setu has over five years of experience covering the full spectrum of the data pipeline, from large-scale data collection to predictive analysis. He has applied his data science skills to diverse domains, including particle physics and gerrymandering analysis. Previously, Setu worked as a data scientist at Princeton University. He holds a Master's degree in Computational Analysis and Public Policy from the University of Chicago.

Andrew Eichen is an Associate at Luminos.Law. He advises clients on a range of legal risks associated with generative AI, with a specific focus on red teaming practices. Prior to joining Luminos.Law, Andrew worked as an associate at Venable LLP. He earned his J.D. magna cum laude from the University of Pennsylvania Law School, where he served as a Senior Editor on the Journal of Law and Innovation and a research assistant to Professor Christopher Yoo.

Christina Fouche is the Director of Operations at Luminos.Law. She leverages an extensive background encompassing more than ten years of experience in strategic planning, process improvement, and technology integration within the legal sector. Her proficiency lies in executing strategic initiatives to boost organizational efficiency and financial performance. Before joining Luminos.Law, Christina held the role of Director of Operations at a boutique law firm based in Atlanta, where she played a pivotal role in establishing new business partnerships and fortifying existing relationships.

Natalie Linero is an Intern at Lumunos.Law. She is also a third-year law student at Brooklyn Law School, focusing on intellectual property, technology, and privacy coursework. Previously, Natalie was a Student Trainee for the United States Patent and Trademark Office, where she evaluated issues raised by organizations using copyrighted works to train AI models and researched foreign countries' implementation of AI into copyrighted and patented works. She also has trademark enforcement and licensing experience from her time as Law Clerk for Major League Baseball Players, Inc. Prior to law school, Natalie received a Bachelor of Science in Business Economics from Pace University in 2020.

Vaishali Nambiar is an Intern at Luminos.Law. She is also a third-year law student at The George Washington University Law School. She has previously interned at the Electronic Privacy Information Center, the Federal Communications Commission, and AT&T. At law school, she serves as the Senior Articles Editor for the GW Journal of Law & Technology, and she works as a Research Assistant to Professor Daniel Solove.

Steph Eaneff is a Data Science Consultant at Luminos.Law. A statistician by training, she works to develop, deploy, and evaluate data science products, including both predictive and generative AI systems. She holds a master’s degree in statistical practice from Carnegie Mellon University, and completed a health innovation fellowship at UC Berkeley and UCSF. Her work on data governance for AI/ML products used in healthcare settings helped to inform policy guidance developed by the US Department of Health and Human Services. She currently serves as a Lecturer in the UC Berkeley School of Information.