Based on WHO and NIH published reports, it is widely known that in the world of medical practices, and especially in hospitals globally, patient best practices and treatment is outweighed by greed and best practices are typically not followed; laws are broken and done so with impunity. Yet paradoxically medical malpractice is rarely punished civilly, and medical crimes are very rarely prosecuted. This is for a multitude of reasons such as the massive amount of money that doctors have available to them for legal defenses through their insurance, the complexity of medical malpractice and medical crimes, the availability of a lawyer willing to take them on, medical competency of lawyers, the legal costs to fight doctors civilly, the difficulty to convince a jury criminally given the complexities, and the length and stress of legal processes. Although the situation looks bleak there are solutions offered by data scientists and artificial intelligence that help overcome these difficulties. In this paper the legal data science solutions will be described based on analysis of the tragic death of the Attorney at Law, Dr. Migen Dibra who was treated at the Oncology Department of JGH Public Hospital in Montreal, QC, Canada. In this case we have found over 50 acts violating Canadian laws that were committed by multiple persons.