A Legal Advisory System based on K-Nearest Neighbor (K-NN) neural network for Iraqi Law

In general, the procedures in many courts around the world, in-cluding Iraqi courts, need effort and time to be applied, which may influence the people daily routine negatively. Recently, the governments in some countries seek to reform these procedures with cooperation of existing security sector. Additionally, devel-oping in the information technology, facilities using artificial intelligent mechanism in the field of legal. This paper presents a Legal Advisory Decision Support System (LADSS) that has the ability to analyze the legal problems depending on knowledge base and taking the proper decision to the user, which could be (Judge, lawyer, client). Where the proposed system aims to smooth applying the procedures in courts, eliminate biases, min-imize the required time & effort and achieve justice. It takes the legal case as an input, and then it provides the court with the hearing scenario for each given legal case. This paper proposed a decision support system for IRAQI Law, the system was tested by many real legal cases and the results were promising..