As founder and CEO of Donblas, Princess and her team are transforming how legal decisions are made by building predictive case technology that helps law firms and businesses anticipate case outcomes with data-driven analysis.

Her insight comes from living the challenge firsthand. With over a decade of legal experience, she has navigated the full spectrum of complex legal challenges. As in-house counsel at Eldridge, she managed complex transactions across tech, media, and real estate, where critical decisions required synthesizing evolving information and making confident calls despite unavoidable ambiguity. She saw the legal industry poised to benefit from the predictive intelligence already revolutionizing finance, healthcare, and technology.

This insight deepened when she launched The Chief Counsel, a boutique practice advising startups and growth companies on financing, compliance, and governance. Working with founders taught her that legal risk is not just a cost. It is a competitive differentiator when managed strategically. The challenge, however, was that most companies lacked the resources or tools to turn legal insights into business advantage.

Donblas solves this. By combining legal expertise with advanced AI, the platform delivers what Princess wished she had had her entire legal career: clear, actionable intelligence that turns legal complexity into confident decision-making.

A pioneer in the world of Legal Technology, David is both a technologist and legal professional and brings a unique blend of technical expertise and legal acumen to complex business challenges.

For seven years Dave served as a Managing Director, as Head of Legal Technology, and as Chief Privacy Officer at Guggenheim Investments, a global asset management company with over $230B of AUM. At Guggenheim, Mr. Milstein led technology initiatives that streamlined and modernized legal operations across the organization. David built and led a team of lawyer-technologists—responsible for researching, selecting, and implementing enterprise-level solutions including contract lifecycle management systems, e-Billing platforms, and legal workflow technologies. His strategic approach to legal technology included working with the tools that were available, developing connectors to integrate siloed systems, and standardizing metadata frameworks for firm-wide document management systems, creating structured data capture for various contract types. Most importantly, the team pioneered utilizing AI to derive insights from various types of contracts.

David's career foundation was built during his 15-year tenure with the Administrative Office of the U.S. Courts, where he served as an IT Specialist, software developer, and analyst with primary focus on Bankruptcy Courts. He was the lead data architect for the internal-use API of the Electronic Case Files (CM/ECF) systems.

Harris Kay has nearly thirty years’ experience counseling individual and institutional clients in a variety of legal matters. Licensed in Illinois, New York, and Virginia, Harris has served as a partner and has held management roles at several national and international law firms, most recently in the Chicago Office of Jenner & Block LLP. His law practice involves representing businesses and members of the financial services industry in a variety of formation, compliance, investigation, enforcement and litigation matters.

Harris has represented clients in a variety of matters, ranging from day-to-day business and compliance issues to sophisticated transactions and technology-driven complex litigation matters. His leadership roles in both law firms and in the business sector have afforded him a unique perspective on the management and operational challenges and opportunities that these entities face.

Harris received his BA from the College of William & Mary and his JD from the University of Richmond School of Law. He is a published author on numerous subjects and a frequent speaker at financial services industry seminars. He has served on several for-profit and nonprofit boards, and is currently a board member of The Night Ministry, a Chicago-based nonprofit organization serving the unhoused community, and of his local little league. Harris and his wife, Reatha, live in the Lincoln Park neighborhood of Chicago with their son and daughter.

Michael Corliss is Donblas’ Chief Operating Officer. Mike began his legal career on the Legal Technology team at Guggenheim Partners, serving as a crucial translator between legal professionals and technologists to implement new technologies, and developing the concepts that would become the foundation of Donblas AI. Since leaving Guggenheim, Mike has worked with technology startups, delivering legal strategy and operations, and intelligence analysis.

Mike’s work at the intersection of law and technology traces its roots into law school at the University of Illinois, as a Google Policy Fellow and intern with the FCC’s Satellite Division; and graduate school at Georgetown University, focusing on technology’s impact on privacy. He earned his BA in philosophy from Pitzer College, specializing in philosophy of mind.

Mike lives in Washington, DC with his wife and two children.

Dr. Andrew Nelson is a physicist turned machine learning engineer with over a decade of experience turning complex data into real-world solutions. His research background spans molecular biophysics, neuroscience, and neurobiology at Weill Cornell Medicine and the University of Maine, where he studied the molecular foundations of consciousness and neurodegeneration.

For more than 12 years, Andrew has applied AI and machine learning to diverse challenges, ranging from physics-based simulations to real-time decision systems for high-speed robotics. His work includes published research on developing AI agents using convolutional neural networks for computer vision.

As a technical leader, Andrew has led teams of engineers and researchers. Most recently, he served as CTO of Sandbox Wealth, a fintech company modernizing wealth management workflows. He has also cofounded multiple startups, combining deep technical expertise with a practical understanding of how to build and scale technology.

Today, Andrew serves as Head of Machine Learning at DonBlas.AI, where he leads the development of advanced AI systems that support data-driven decision making in the legal industry. He also leads Daleego, a consulting practice that helps organizations design and implement AI strategies that deliver measurable results. His strength lies in translating complex technical ideas into actionable projects that drive business impact.