Cope Thomas is a Florida attorney with over 24 years of experience including business and legal positions at General Electric, Teachers College Columbia University, and Siemens Energy, where he has supported billions of dollars of large, complex, cutting-edge technology transactions across the globe. Currently, he operates his own legal practice. Seeing the data revolution, he is also experimenting with and developing artificial intelligence algorithms that read complex legal texts and display significant risk issues.
Lazar Kovacevic is a machine learning software engineer with over twenty years of experience including consulting non-profit and university clients, startups and companies, solving diverse problems in different domains and transforming ideas into products. His multidisciplinary and collaborative work resulted in peer review publications across disciplines, including complex-systems, life sciences, medicine, digital humanities. His core expertise is information retrieval and recommender systems where he brings order to unstructured data, and novelty in information presented to users. His core web projects have been viewed more than 100 million times.