Everything You Know About Lawyer Selection is Wrong: Big Data Analyzes Litigation
Toby Unwin, Chief Information Officer, Premonition LLC, USA
The Brad Pitt film, Moneyball, portrays Billy Beane baseball team manager of the Oakland A’s struggling against accepted dogma in player selection. Beane’s insight was to use already available player data to pick athletes. This flew in the face of accepted conventional wisdom in the game. Talent scouts prided themselves on their “eye” for talent, choosing drafts by gut feel, pitching and batting style, even factors such as their demeanor off the field and the attractiveness of their wives and girlfriends. Despite a rocky start, strongly opposed by the A’s talent scouts, Beane put together a team that went down in baseball history. Derided, The Oakland A’s put together a roster of players believed to be lacking in talent, past their prime or unusable. Not only did the team prove itself by results, they were assembled with one of the lowest budgets in the sport. Win rates were not correlated with salary rates.
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