Legal prediction, a daily task for the legal professionals, involves essentially any use case that requires legal reasoning for the purpose of predicting an outcome. The issue with legal prediction is that humans are generally bad at it. We are biased, inefficient, information processors, and prone to errors. As today’s data-driven world of law requires legal professionals to access and process vast amounts of information, we must turn to technology for aid.
Those who read my previous blog may remember the Tax & Technology Cube. Now I want to elaborate on one of the mentioned intersections between technology and tax. And I will do so using a so-called smart meter.
The A.I. field had long been dominated by so called Expert Systems. These systems translate expertise from humans into strictly defined rules in order to replicate a reasonably intelligent system. However, its sheer inability to understand unknown experiences made the A.I. field go look for other more scalable techniques that do provide those capabilities. Techniques such as machine learning which, mostly through deep learning, is revolutionizing almost everything around us. From consumer electronics to medical research to supply chain optimization. But, what is actually driving its capability to understand the unknown more effectively than an Expert System?