EFF asked a California appeals court to uphold a lower court’s decision to strike a tech CEO’s lawsuit against a journalist that sought to silence reporting the CEO, Maury Blackman, didn’t like.

The journalist, Jack Poulson, reported on Maury Blackman’s arrest for felony domestic violence after receiving a copy of the arrest report from a confidential source. Blackman didn’t like that. So, he sued Poulson—along with Substack, Amazon Web Services, and Poulson’s non-profit, Tech Inquiry—to try and force Poulson to take his articles down from the internet.

Fortunately, the trial court saw this case for what it was: a classic SLAPP, or a strategic lawsuit against public participation. The court dismissed the entire complaint under California’s anti-SLAPP statute, which provides a way for defendants to swiftly defeat baseless claims designed to chill their free speech.

The appeals court should affirm the trial court’s correct decision.  

Poulson’s reporting is just the kind of activity that the state’s anti-SLAPP law was designed to protect: truthful speech about a matter of public interest. The felony domestic violence arrest of the CEO of a controversial surveillance company with U.S. military contracts is undoubtedly a matter of public interest. As we explained to the court, “the public has a clear interest in knowing about the people their government is doing business with.”

Blackman’s claims are totally meritless, because they are barred by the First Amendment. The First Amendment protects Poulson’s right to publish and report on the incident report. Blackman argues that a court order sealing the arrest overrides Poulson’s right to report the news—despite decades of Supreme Court and California Court of Appeals precedent to the contrary. The trial correctly rejected this argument and found that the First Amendment defeats all of Blackman’s claims. As the trial court explained, “the First Amendment’s protections for the publication of truthful speech concerning matters of public interest vitiate Blackman’s merits showing.”

The court of appeals should reach the same conclusion.

A tidal wave of copyright lawsuits against AI developers threatens beneficial uses of AI, like creative expression, legal research, and scientific advancement. How courts decide these cases will profoundly shape the future of this technology, including its capabilities, its costs, and whether its evolution will be shaped by the democratizing forces of the open market or the whims of an oligopoly. As these cases finished their trials and moved to appeals courts in 2025, EFF intervened to defend fair use, promote competition, and protect everyone’s rights to build and benefit from this technology.

At the same time, rightsholders stepped up their efforts to control fair uses through everything from state AI laws to technical standards that influence how the web functions. In 2025, EFF fought policies that threaten the open web in the California State Legislature, the Internet Engineering Task Force, and beyond.

Fair Use Still Protects Learning—Even by Machines

Copyright lawsuits against AI developers often follow a similar pattern: plaintiffs argue that use of their works to train the models was infringement and then developers counter that their training is fair use. While legal theories vary, the core issue in many of these cases is whether using copyrighted works to train AI is a fair use.

We think that it is. Courts have long recognized that copying works for analysis, indexing, or search is a classic fair use. That principle doesn’t change because a statistical model is doing the reading. AI training is a legitimate, transformative fair use, not a substitute for the original works.

More importantly, expanding copyright would do more harm than good: while creators have legitimate concerns about AI, expanding copyright won’t protect jobs from automation. But overbroad licensing requirements risk entrenching Big Tech’s dominance, shutting out small developers, and undermining fair use protections for researchers and artists. Copyright is a tool that gives the most powerful companies even more control—not a check on Big Tech. And attacking the models and their outputs by attacking training—i.e. “learning” from existing works—is a dangerous move. It risks a core principle of freedom of expression: that training and learning—by anyone—should not be endangered by restrictive rightsholders.

In most of the AI cases, courts have yet to consider—let alone decide—whether fair use applies, but in 2025, things began to speed up.

But some cases have already reached courts of appeal. We advocated for fair use rights and sensible limits on copyright in amicus briefs filed in Doe v. GitHub, Thomson Reuters v. Ross Intelligence, and Bartz v. Anthropic, three early AI copyright appeals that could shape copyright law and influence dozens of other cases. We also filed an amicus brief in Kadrey v. Meta, one of the first decisions on the merits of the fair use defense in an AI copyright case.

How the courts decide the fair use questions in these cases could profoundly shape the future of AI—and whether legacy gatekeepers will have the power to control it. As these cases move forward, EFF will continue to defend your fair use rights.

Protecting the Open Web in the IETF

Rightsholders also tried to make an end-run around fair use by changing the technical standards that shape much of the internet. The IETF, an Internet standards body, has been developing technical standards that pose a major threat to the open web. These proposals would give websites to express “preference signals” against certain uses of scraped data—effectively giving them veto power over fair uses like AI training and web search.

Overly restrictive preference signaling threatens a wide range of important uses—from accessibility tools for people with disabilities to research efforts aimed at holding governments accountable. Worse, the IETF is dominated by publishers and tech companies seeking to embed their business models into the infrastructure of the internet. These companies aren’t looking out for the billions of internet users who rely on the open web.

That’s where EFF comes in. We advocated for users’ interests in the IETF, and helped defeat the most dangerous aspects of these proposals—at least for now.

Looking Ahead

The AI copyright battles of 2025 were never just about compensation—they were about control. EFF will continue working in courts, legislatures, and standards bodies to protect creativity and innovation from copyright maximalists.