ABSTRACT
One issue to understand is that the computing tools used with legal data were primarily developed in other fields, and researchers have not exhausted what any of them can say about the law in particular and legal data in general. Statistical techniques can be used as tools to understand diverse topics such as legal documents, actors in the legal process, and the causes and outcomes of laws and their implementation. Data may also have a simple random distribution with no pattern. Regression is a technique used to identify linear patterns in data. Statistical analysis has some attributes that make it suitable for different uses than machine learning. In supervised learning an algorithm is presented with an existing set of labeled data and desired outputs. Unsupervised learning involves an algorithm running over data without a predetermined outcome or using tags in the data. Decision trees are another mature technique that is useful for assessing value and presenting information.
