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Copyright Update For The 2014 Nevada Bar Intellectual Property Law Conference, Marketa Trimble Jan 2014

Copyright Update For The 2014 Nevada Bar Intellectual Property Law Conference, Marketa Trimble

Boyd Briefs / Road Scholars

Professor Marketa Trimble presented these materials at the Nevada Bar Intellectual Property Law Section's annual Intellectual Property Law Conference, held on November 14, 2014 at the William S. Boyd School of Law.

The presentation provided attendees with a "year-in-review" update on copyright law, covering the time period of October 2013 to October 2014. Nevada copyright litigation statistics, summaries of important copyright cases, and discussion of pending copyright legislation were included in the presentation.


Copyright's Topography: An Empirical Study Of Copyright Litigation, Christopher A. Cotropia, James Gibson Jan 2014

Copyright's Topography: An Empirical Study Of Copyright Litigation, Christopher A. Cotropia, James Gibson

Law Faculty Publications

One of the most important ways to measure the impact of copyright law is through empirical examination of actual copyright infringement cases. Yet scholars have universally overlooked this rich source of data. This study fills that gap through a comprehensive empirical analysis of copyright infringement litigation, examining the pleadings, motions, and dockets from more than nine hundred copyright lawsuits filed from 2005 through 2008. The data we collect allow us to examine a wide variety of copyright issues, such as the rate of settlements versus judgments; the incidence of litigation between major media companies, small firms, and individuals; the kinds …


Machine Learning And Law, Harry Surden Jan 2014

Machine Learning And Law, Harry Surden

Publications

This Article explores the application of machine learning techniques within the practice of law. Broadly speaking “machine learning” refers to computer algorithms that have the ability to “learn” or improve in performance over time on some task. In general, machine learning algorithms are designed to detect patterns in data and then apply these patterns going forward to new data in order to automate particular tasks. Outside of law, machine learning techniques have been successfully applied to automate tasks that were once thought to necessitate human intelligence — for example language translation, fraud-detection, driving automobiles, facial recognition, and data-mining. If performing …


Foreigners In U.S. Patent Litigation: An Empirical Study Of Patent Cases Filed In Nine U.S. Federal District Courts In 2004, 2009, And 2012, Marketa Trimble Jan 2014

Foreigners In U.S. Patent Litigation: An Empirical Study Of Patent Cases Filed In Nine U.S. Federal District Courts In 2004, 2009, And 2012, Marketa Trimble

Scholarly Works

One of the greatest challenges facing patent holders is the enforcement of their rights against foreign (non-U.S.) infringers. Jurisdictional rules can prevent patent holders from filing patent infringement suits where they have the greatest likelihood of success in enforcement, such as where the infringer is located, has his seat, or holds his assets; instead, patent holders must file lawsuits in the country where the infringed patent was issued. But filing a patent lawsuit in a U.S. court against a non-U.S. infringer may be subject to various difficulties associated with the fact that U.S. substantive patent law (particularly as regards its …