ML and Legal Analytics: A Computational Approach to Case Outcome Prediction in Legal Management

Abstract

The legal industry has undergone a transformation through the combination of machine learning and artificial intelligence techniques. This work focuses the application of such approaches in legal management and also explores how these techniques are useful in various aspects of legal service. With this work, there is an analysis done using case studies from leading organisations such as Lex Machina, JP Morgan, Deloitte, IBM Watson, All State insurance and others. We show that the potential of machine learning is useful in improving the efficiency and decision making in these processes applied to critical legal domains such as contract intelligence, IPR analysis, litigation risk assessment and other our work. The potential of ML to combine with traditional legal practices offer a lot of advantages in the field of data analytics, and pattern recognition.