According to\u00a0Jeff Bezos, there is no institution in the world that cannot be improved with machine learning. Presumably, law is an institution and thus, can be improved with machine learning. However, one major problem is that the law is poorly written and convoluted, which creates a substantial knowledge gap between lawyers and everyone else. As a result, it appears unsupervised learning techniques will be most often used in legal analysis. For example, IBM and the Air Force are just dumping legal documents and and writing algorithms to look for, and learn from patterns. If the law develops new ways of structuring and organizing its data input then supervised and reinforcement learning techniques can be implemented sooner, drastically improving the role of artificial intelligence in the law. Luckily, for now at least, machine learning generally requires the work of a human indexer for data processing and collection, so it may take a few years before we see dramatic job displacement.<\/p>\n","protected":false},"excerpt":{"rendered":"
According to\u00a0Jeff Bezos, there is no institution in the world that cannot be improved with machine learning. Presumably, law is an institution and thus, can be improved with machine learning. However, one major problem is that the law is poorly … Continue reading