id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
inlawrev-18601	Eakman, Adam	The Future of the Digital Millennium Copyright Act: How Automation and Crowdsourcing Can Protect Fair Use	2014	32	.pdf	application/pdf	14705	773	58	Professor Barton Beebe, in An Empirical Study of U.S. Copyright Fair Use Opinions, 1978-2005, studied every published opinion that considered fair use from 1978-2005 and found that judges regularly fall into patterns with their decisions and follow predictable trends when deciding fair use cases.223 Building on his work, Pamela Samuelson concluded, after her own empirical study of the data, that “copyright fair use case law is more coherent and more predictable than many commentators seem to believe. Because fully-automated systems cannot totally distinguish piracy from fair use, relying solely on automated systems will result in the removal of non-infringing material and may even lead to legal liabilities under the DMCA.	cache/inlawrev-18601.pdf	txt/inlawrev-18601.txt