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Automatic Legal Document Classification and Categorization
Recognizing the main topic or category under which a content-rich legal document falls under can be a difficult and time-consuming task. We have developed an automatic way for accurately classifying a set of scanned pages that belong to a legal case into one of 200 categories with an accuracy of around 97%, removing thereby human subjectivity and expediting the litigation process in the justice sector. The underlying classification technology can e eaily applied to other sectord as well.
(1st Cir. 1994). Here, cause exists to lift the stay because all of these factors weigh strongly in the United States’ favor. BACKGROUND A. The Equity Skimming Statute Codified At 12 U.S.C. § 1715z-4a On September 16, 2009, the United States, acting on behalf of HUD, filed a complaint against the Debtor and three other defendants in the United States District Court for the District of Rhode Island.1 See United States v. Antonio L. Giordano, et al., Case No. 09-00432 (D.R.I.), Dkt. No. 1. The United States alleged a massive scheme, sometimes referred to as “equity skimming,” to divert millions of dollars from two HUD-insured nursing homes to the Debtor and his family in violation of 12 U.S.C. § 1715z-4a. See Exh. 1
Classify documents under different types of economic laws
Categorize filed cases by legal economic type