Reducing this to inputs and mechanisms for a more fair analysis; the postulate that predictive analysis of case outcomes is intrinsically a subset of predictive analysis and automation of legal processes oversimplifies the causal dynamics. The main mechanism of predictive analysis is interpreting vast data to derive probabilities of outcomes, a separate statistical modeling enterprise. Automation focuses on the repetitive execution of defined tasks, such as document generation, which represent different operational constraints. For example, predicting a Supreme Court decision based on precedents is not the same type of operation as automating the creation of a standard contract.