Washington Law Review
Part I of this Article explains the basic concepts underlying machine learning. Part II will convey a more general principle: non-intelligent computer algorithms can sometimes produce intelligent results in complex tasks through the use of suitable proxies detected in data. Part III will explore how certain legal tasks might be amenable to partial automation under this principle by employing machine learning techniques. This Part will also emphasize the significant limitations of these automated methods as compared to the capabilities of similarly situated attorneys.
Machine Learning and Law,
89 Wash. L. Rev.
Available at: https://digitalcommons.law.uw.edu/wlr/vol89/iss1/5