Top Tens in 2011: Copyright and Trade Secret Cases

Professor Stephen McJohn discusses the most important Copyright and Trade Secret cases from 2011

Top Tens in 2014: Patent, Trademark, Copyright and Trade-Secret Cases

The Supreme Court decided more patent cases in 2014 than any previous year. It lowered the standard for awarding fees in patent cases, clarified that the patent holder carries the burden of showing infringement even in declaratory judgment actions, lowered the standard for invalidating patent claims as vague, and rejected the theory that infringement may occur by simply adding the actions of separate parties. The most important case, Alice Corp. Pty. Ltd. v. CLS Bank Int\u27l, announced a test for patentable subject matter, especially for software and business method inventions, that was considerably more restrictive than case law to date. Meanwhile, the most notable case in copyright seemed to go in the opposite direction, raising the level of copyright protection for software, perhaps even creating a split in the circuits. In Oracle Am., Inc. v. Google Inc., the Federal Circuit held that the application programming interfaces of the Java programming language were copyrightable expression, as opposed to non-copyrightable functional matter. The Supreme Court held that rebroadcast of television programs infringed the public performance right, even where done using technology that effectively gave each viewer a personal antenna. The Court also rejected the application of laches in copyright cases, permitting litigation of long-standing infringement. Other cases provided important precedent on evergreen issues in intellectual property law. Cambridge Univ. Press v. Patton reversed a safe harbor approach to the application of fair use to university coursebooks. Garcia v. Google, Inc. raised the possibility that anyone who contributes to a work, such as an actor in a film, may have their own separate copyright. Trademark cases addressed such questions as who may bring a false advertising case, when matter is functional, when trademarks become generic or are otherwise abandoned, when others may use a mark to describe things, and when a mark may be cancelled as disparaging of a group of people. In trade secret, the Third Circuit avoided the surprisingly important issue of liability for account slurping. Other cases dealt with the interfaces between trade secret and contract and between trade secret and patent. Courts also dealt with the balance between disclosing information to potential partners and maintaining sufficient security measures to qualify for trade secret protection

Top Tens in 2016: Patent, Trademark, Copyright and Trade Secret Cases

The Supreme Court issued several rulings that affect incentives in patent law. The Court relaxed the standard for the award of treble damages, narrowed the damages awards for infringement of design patents, and upheld key parts of the new procedures for challenging the validity of patents before the United States Patent and Trademark Office. After numerous decisions holding claimed inventions to be outside patentable subject matter in the wake of the Supreme Court’s 2014 Alice decision, the Federal Circuit rejected some challenges on those grounds, evincing a split among the circuit’s judges on the bounds of patentable subject matter. Several decisions affected legal boundaries: whether federal copyright law preempted state law rights for resale royalties and right of publicity, and whether trade secret law preempted claims for unjust enrichment. Courts continue the trend to limit injunctions, where parties have delayed or seek overbroad orders. Trademark decisions stretched the limits of the Lanham Act, to reach foreign sales of goods bought in the US and protection of foreign marks within the US, as well as triggering nationwide US trademark protection upon the most minor use of a mark. In copyright, evergreen issues include the scope of fair use and the conditions for immunity for internet service providers. Trade secret saw a new federal trade secret act, along with cases on all the major elements of trade secret misappropriation, in such areas as beehive foraging and bacon cooking. This paper also uses the collection of cases to conjecture a little on cognitive factors that affect judicial reasoning. Judges have the same cognitive biases as other humans. We can read judicial decisions, speculatively, with an eye toward how the judges unconsciously seek cognitive ease. The paper also discusses how the holdings of some cases may affect subsequent the decision process in some intellectual property matters

The Paradoxes of Free Software

This paper describes the legal structure of open source software and analyzes the likely issues to arise. A combination of copyright law and trademark law serves to permit the free distribution of open source software. The software is kept under copyright, but freely licensed under one of various open source licenses. The legal structure of open source is an elegant and robust use of intellectual property law that turns the customary use of intellectual property on its head, by using intellectual property laws, which normally are used to guard exclusive rights, to safeguard free access to and use of software. The paper further discusses how open source challenges economic and philosophical theories of intellectual property. Ironically, the open source movement, with its early roots in a decidedly socialist view of software, appears to vindicate a rather free-market view of intellectual property--that market mechanisms are more efficient in overcoming market failure than corrective legal measures. Philosophically, open sources may fit best with a natural rights/personality theory, especially where open source authors frequently give away all rights except their rights to attribution and to prevent distortion. The paper further explores how open source may affect patent litigation, (especially with respect to the profound prior art problems in software patents) and other aspects of regulation of software (ranging from fair use in copyright to enforcement of licensing terms to restrictions on use of certain algorithms, like encryption). The openness of the software can cut both ways with respect to all those subjects

The Case of the Missing Case: Stewart v. Abend and Fair Use Law

Three Supreme Court cases dominate fair use: Sony, Harper and Row, and Campbell. One case has gone mysteriously missing. In Stewart v. Abend, the Supreme Court held that it was not fair use for the producers of Alfred Hitchcock’s film Rear Window to continue showing the film. Their rights had been terminated in the underlying story, It Had To Be Murder, by an unanticipated shift in copyright case law. Stewart remains well known in copyright law for its lengthy discussion of a complex issue of copyright renewal, but Stewart’s short, sharp fair use discussion has gone by the wayside. At best, Stewart makes a cameo in judicial opinions and casebooks. Sony, Harper and Row, and Campbell appear together every time, like three musketeers. Stewart’s fair use analysis is brief, but offers valuable precedent on the application of fair use to transactions, the definition of relevant markets, and the very meaning of “fair.

Fair Use and Machine Learning

There would be a beaten path to the maker of software that could reliably state whether a use of a copyrighted work was protected as fair use. But applying machine learning to fair use faces considerable hurdles. Fair use has generated hundreds of reported cases, but machine learning works best with examples in greater numbers. More examples may be available, from mining the decision making of web sites, from having humans judge fair use examples just as they label images to teach self-driving cars, and using machine learning itself to generate examples. Beyond the number of examples, the form of the data is more abstract than the concrete examples on which machine learning has succeeded, such as computer vision, viewing recommendations, and even in comparison to machine translation, where the operative unit was the sentence, not a concept that could be distributed across a document. But techniques presently in use do find patterns in data to build more abstract features, and then use the same process to build more abstract features. It may be that such automated processes can provide the conceptual blocks necessary. In addition, tools drawn from knowledge engineering (ironically, the branch of artificial intelligence that of late has been eclipsed by machine learning) may extract concepts from such data as judicial opinions. Such tools would include new methods of knowledge representation and automated tagging. If the data questions are overcome, machine learning provides intriguing possibilities, but also faces challenges from the nature of fair use law. Artificial neural networks have shown formidable performance in classification. Classifying fair use examples raises a number of questions. Fair use law is often considered contradictory, vague, and unpredictable. In computer science terminology, the data is “noisy.” That inconsistency could flummox artificial neural networks, or the networks could disclose consistencies that have eluded commentators. Other algorithms such as nearest neighbor and support vectors could likewise both use and test legal reasoning by analogy. Another approach to machine learning, decision trees, may be simpler than other approaches in some respects, but could work on smaller data sets (addressing one of the data issues above) and provide something that machine learning often lacks: transparency. Decision trees disclose their decision-making process, whereas neural networks, especially deep learning, are opaque black boxes. Finally, unsupervised machine learning could be used to explore fair use case law for patterns, whether they be consistent structures in its jurisprudence, or biases that have played an undisclosed role. Any possible patterns found, however, should be treated as possibilities, pending testing by other means

Assignability of Letter of Credit Proceeds: Adapting the Code to New Commercial Practices

The right to receive payment under a letter of credit may be assigned, even if the letter of credit prohibits assignment of proceeds. This article argues that this rule should be changed, to give effect to clauses barring assignment of proceeds. The rule made sense where letters of credit were primarily used in sales of goods transactions. In that context, the rule simply mirrored the contract law doctrine that the right to receive payment under a sales contract may be freely assigned (subject to any defenses the payor might have). But letters of credit are not used in a broader range of transactions, and are often used as a standby security device, as opposed to a primary means of payment. Where such letters of credit are more like collateral than a means of payment, the parties should be free to agree on the structure of the transaction, including limits on assignment. In addition, the parties can effectively bar assignment by drafting the conditions for drawing the letter of credit. The bar against assignment then, is both outdated and ineffective (and thereby inefficient, because the parties must expend some resources in structuring and drafting around the rule)

Top Tens in 2015: Patent, Trademark, Copyright and Trade Secret Cases

The Supreme Court significantly affected the dynamics of patent litigation, holding that patent claim interpretation was not always reviewed de novo and that good faith belief that a patent was invalid was not a defense to infringement. The Federal Circuit potentially changed the approach to patent claim interpretation, holding that claims could be interpreted in light of the written description of the invention, even where the claim was not ambiguous. The Federal Circuit also addressed inducement of patent infringement, holding that it was not inducement to suggest consulting a physician who would likely prescribe an infringing treatment. The Federal Circuit also held that two parties acting in concert could infringe a patent, replacing its rejected doctrine of divided infringement. Trademark saw rejection of trade dress protection for cell phone design and conflicting opinions on whether disparaging trademarks are registrable. Copyright cases show that fair use authorized the Google Book project and also protected against attempts to use copyright to censor critics. Courts addressed some classics of copyright courses, including the copyrightability of maps, recipes, and “Happy Birthday to You.” Trade secret cases emphasized the fundamental requirements, rejecting attempts to give trade secret protection where parties had failed to take the necessary reasonable security measures