If you have looked at pages of a law, you may feel dizziness due to very long sentences with legal terms that general readers cannot immediately catch the meaning of. How about trial records or precedents? There should be a diversity of interpretations of law. This job has been thought of as the professional area. With the advent of Big Data era, many discussions about how Big Data will affect the legal profession have still been being made. The article I refer to gives some evidences and interviews in the answer of this paradigm change.
Quantitative legel prediction
It is relevant to how to manage legal matters and costs, how to craft legal arguments, and whether, how, and where they file a lawsuit. The critical point to build this prediction is to gather usable data that computers can understand. As a example of it, E-discovery uses algorithms to review mountains of documents and predict which are likely to be relevant in a given case.
TyMetrix
Wolters Kluwer Corporate Legal Services, a vendor of e-billing and matter management systems for corporate law departments, collects data on billings and legal matters with its customers' permission. It is for benchmarking law firm rates and identifying the factors that drive them. It also offers a free app for mobile devices.
Fantasy SCOTUS
It is a web-based fantasy league for predicting Supreme Court decisions. This site combines the crowd-sourced data with data from publicly available court filings, then use an algorithm and decision engine to make predictions.
Lex Machina
It focuses on patent litigation. The database holds information from 128,000 IP (Intellectual Property) cases, 134,000 attorney records, 1,399 judges, 63,000 law firms and 64,042 parties, spanning the last decade.
Reference: http://www.law.com/jsp/lawtechnologynews/PubArticleLTN.jsp?id=1202555605051&Big_Data_Meets_Big_Law&slreturn=20130302131047
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