Courts around the world are dealing with backlog which can be solved to a great extent by data transparency, judiciary workload, case history and justice delivery analytics and predictions. This challenge requires the participants to model a court system comprising of legacy technology and manual processes and demonstrate how that can be modernized using the latest technology trends such as Artificial intelligence, machine learning, deep learning, case management, data virtualization and microservices. The result should provide predictability for judges and Court staff in case load, staffing and scheduling alignment, real time access to the right information at the right time through visual analytics etc.