Decking the halls with festive flair is a beloved tradition, from cozy and simple to dazzling displays that could rival Clark Griswold’s winter wonderland. In this yuletide landscape, lights play a starring role, sparking whole industries focused on holiday home illumination. A centerpiece of this seasonal spectacle is often the twinkling Christmas tree.

Traditional tree lighting mainly focuses on the tree’s exterior, with their daytime wiring detracting from the tree’s aesthetic, requiring the wiring to be tucked away under tinsel and ornaments. Enter U.S. Patent No. 7,784,961, with its “clip-attachable light strings for Christmas tree branches,” a merry makeover for tree lighting. This jolly invention lights up each branch individually, featuring a central bus wire nestled near the trunk, branching into 5 to 10 light circuits, each sporting 10 to 20 bulbs. Clipped at each branch’s end, these strands can be extended to fit any tree, from a small spruce to a grand fir, creating a more enchanted, branch-by-branch illumination compared to the old ring-around-the-rosy style.Continue Reading Legal Lessons from Holiday Lights: Clarity in Patent Drafting

In the latest skirmish between Sarah Silverman and other authors against Chat GPT-maker OpenAI, OpenAI submitted a new decision from a California federal court in support of its attempt to dismiss the Silverman plaintiffs’ claims. According to OpenAI, that other court rejected theories and claims that are nearly identical to Silverman’s claims against OpenAI. If the court hearing Silverman’s claims agrees, copyright holders looking to sue AI companies in the future may find themselves facing long odds on certain claims.

The new California decision cited by OpenAI comes in the wake of a similar decision in a case involving an AI image generator. Like the court in that image-generator case, the new decision cited by OpenAI dismissed most of the plaintiffs’ copyright claims and other claims, although it did so with leave to amend all but one state-law negligence claim. The court in this new decision rejected as “nonsensical” the plaintiffs’ argument that large language models (or LLMs) “are themselves infringing derivative works,” holding that “[t]here is no way to understand the [LLMs] themselves as a recasting or adaptation of any of the plaintiffs’ books.” Similarly, the court rejected the notion that “every output of the [LLMs] is an infringing derivative work,” stating that “the complaint offers no allegation of the contents of any output, let alone of one that could be understood as recasting, transforming, or adapting the plaintiffs’ books. Without any plausible allegation of an infringing output, there can be no vicarious infringement.”Continue Reading “The Plaintiffs Are Wrong”: OpenAI Submits New Authority in Attempt to Knock Out Sarah Silverman’s Claims

Lauren Leipold and Ken Wilton co-authored “Last 12 Months See New Court Precedents and Fresh Ways to Challenge Existing Registrations,” the exclusive United States chapter for WTR’s Trademark Litigation Review 2024. Lauren and Ken discussed an overview of key developments in trademark litigation in the United States over the past year. WTR describes the Review

In a relatively scathing opinion finding the plaintiffs’ Complaint “defective in numerous respects,” a district court judge has thrown out most of the claims a group of artists has asserted against AI platforms that allegedly used the artists’ copyrighted works without permission. The order in Andersen et al. v. Stability AI Ltd. provides an important preview on courts’ tolerance for AI-related copyright lawsuits moving forward—including a similar class action filed by actor/comedian Sarah Silverman and other authors.

As we previously wrote, the Andersen case relates to “Stable Diffusion,” an AI platform that generates images in response to user prompts. According to Plaintiffs, Stable Diffusion scraped the internet to copy and store billions of copyrighted images without consent or licenses to train the programs.  (For another good summary of the case and the claims, check out this post from The Fashion Law).  Continue Reading Some Stability For AI Defendants: Judge Dismisses All But One Claim in Andersen et. al., v. Stability AI LTD., et. al.

The latest briefing in Silverman v. OpenAI reads like that old REM song, “The End of the World as We Know It.” OpenAI has responded to the Plaintiffs’ claims that OpenAI’s popular platform ChatGPT has infringed their copyright with disaster-laden references to Michael Jordan and “the future of artificial intelligence.”

As we’ve previously written

As we’ve previously written, the rise of generative AI has led to a spate of copyright suits across the country. One major target of these suits has been OpenAI. Actor/comedian Sarah Silverman and author Paul Tremblay are among the plaintiffs to bring suit in California, while authors George R.R. Martin, John Grisham, and others have filed in New York. The lawsuits allege that OpenAI used the plaintiffs’ creative content without permission to train OpenAI’s generative AI tool in violation of the U.S. Copyright Act. OpenAI moved to dismiss the majority of claims in the Silverman and Tremblay cases on several bases: (1) the Copyright Act does not protect ideas, facts, or language; (2) the plaintiffs cannot show that outputs from OpenAI’s large language model (“LLM”) tool are substantially similar to the original content used to train the tool; and (3) any use of copyright-protected content by OpenAI’s tool constitutes fair use, and thus is immune to liability under the Act. Yesterday, Plaintiffs hit back, noting that OpenAI hasn’t moved to dismiss the “core claim” in the lawsuits—direct infringement.Continue Reading Famous Authors Clap Back at OpenAI’s Attempt to Dismiss Claims Regarding Unauthorized Use of Content for Training LLM Models

Several U.S. courts are addressing lawsuits brought by artists alleging that AI-generated art infringes on copyrights held by the artists for their artwork. In one of those cases, a California federal judge recently indicated that he would dismiss the bulk of the plaintiffs’ complaint, while giving them a chance to re-plead their claims. A written decision from the court is forthcoming, and that decision could be an important one for plaintiffs and defendants alike in current and future AI-related copyright cases.

In Andersen, et al. v. Stability AI Ltd., et al., Case No. 3:23-cv-00201-WHO (N.D. Cal.), three artists—Sarah Andersen, Kelly McKernan, and Karla Ortiz—brought suit against Stability AI Ltd., Stability AI, Inc., Midjourney, Inc., and DeviantArt, Inc. Plaintiffs alleged that Stability AI “copied and scraped” billions of images to train an AI tool called “Stable Diffusion.” These images allegedly included those originally created by the plaintiff artists. Meanwhile, the other two defendants created programs allowing users to access Stability AI’s tool, which generates images in response to text prompts entered by users. Plaintiffs asserted that the defendants’ conduct resulted in, among other things, copyright infringement of the plaintiffs’ artwork. Plaintiffs also argued that the defendants engaged in vicarious copyright infringement by permitting their users to enter text prompts that resulted in infringing images.Continue Reading California Court Casts Doubt on Copyright Claims Relating to AI Images

This is the latest in the series titled “NPE Showcase,” where we discuss high-volume non-practicing entities (or as some call them, “patent trolls”). This installment will focus on a company named Web 2.0 Technologies, LLC.

Web 2.0 Technologies is similar to other NPEs, asserting two patents against well-known companies for technology that has been around