Data Science and Law are in a lot of ways vastly different; however they do have a few things in common: both professions rely heavily on historical data and patterns . Certain supervening phenomena can cause a break in these patterns; these distinct deviations from a learned practice (either by a machine learning algorithm or through pure human experience) can be problematic. Those of us in Lega…
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