Every so often, a lawsuit shows up that feels less like a legal dispute and more like a mirror held up to the internet’s worst habits. This one started with a familiar modern wound: a person seeing their name discussed in a private-ish online group, described with words like “clingy” and “psycho,” and deciding that the right response was to take nearly everyone to court.
The plaintiff, Nikko D’Ambrosio, filed a complaint targeting 27 women, one man, and multiple platforms after posts about him appeared in a Chicago-based “Are We Dating the Same Guy” (AWDTSG) Facebook group. He alleged that Facebook—through its parent company Meta—profited from the disparaging content. But his case against Meta didn’t survive. A judge dismissed that portion of the lawsuit and, in doing so, raised an eyebrow at something that’s starting to look like a new courtroom problem: briefs that seem to contain AI-generated errors and citations to sources that don’t exist.
When “public shaming” meets platform economics
If you’ve never wandered into the orbit of AWDTSG groups, the concept is straightforward: people post photos and names, asking if others have dated the same person, often to compare experiences or flag troubling behavior. Supporters say it’s a safety tool. Critics call it gossip with a veneer of public service. And in practice, it can be both at once, depending on who’s posting, who’s being posted, and what gets said.
D’Ambrosio’s complaint framed the group’s comments as defamatory and argued that Meta benefited financially from keeping engagement high—because attention, as always, is the product. This is the part that sounds intuitive if you’re thinking as a social media user: “They make money when people talk about me, therefore they’re responsible.” But the law, especially in the U.S., doesn’t usually follow that emotional logic.
Whether we like it or not, the legal system has spent decades building guardrails around platform liability, often making it hard to pin responsibility on a company for content created by users. So when someone says, “Facebook profited off posts calling me ‘psycho,’ therefore Facebook is on the hook,” the question becomes less moral and more technical: what legal theory actually gets you there?
The dismissal—and the judge’s pointed skepticism
The case against Meta was dismissed after the court found the claims didn’t hold up the way they were presented. But what made this dismissal especially striking was the judge’s commentary about the quality of the legal briefing.
Judge David Hamilton wrote: “The brief included no citation to any legislative findings, let alone any including the statute’s targets as the brief asserted... These mistakes and fictitious quotations bear the hallmarks of the misuse of generative artificial intelligence.”
Read that again, slowly. The court wasn’t merely saying, “I disagree.” It was saying, in effect: you’re citing things that aren’t real, and the pattern looks like someone relied on generative AI in a way that produced fabricated material.
It’s hard to overstate how serious that is. Courts expect lawyers to be the adults in the room: to verify sources, to quote accurately, to cite real cases and real legislative history. When filings contain “fictitious quotations,” it doesn’t just weaken an argument—it risks shredding the court’s trust in everything else the lawyer submits.
A new kind of legal malpractice trap
I keep thinking about the temptation here. Generative AI can draft fast, sound confident, and produce something that looks like legal writing to the untrained eye. If you’re overwhelmed, under-resourced, or simply careless, it might feel like a shortcut. But the danger is built into the tool: it can “hallucinate” citations, invent quotes, and confidently attribute statements to authorities that never said them.
In a courtroom setting, that’s not a quirky tech glitch. It’s a professional hazard. Because the moment an attorney submits a brief, the implicit promise is: I checked this.
And if you’re wondering whether a judge can really tell the difference between a sloppy human mistake and an AI-flavored fabrication, the answer is that patterns matter. A single miscitation might look like carelessness. A string of non-existent authorities and made-up legislative findings starts to look like something else entirely.
- Invented citations can send a court on a wild goose chase.
- Fictitious quotations distort what the law says and erode credibility.
- AI-assisted drafting without verification turns “efficiency” into liability.
This isn’t a debate about whether AI belongs in the legal profession; it already does. The question is whether professionals will treat it as a drafting assistant that still requires human verification—or as a vending machine for arguments.
What this says about online reputation—and our appetite for escalation
At the heart of the story is a very human impulse: the desire to control how you’re described when you’re not in the room. Being called “clingy” or “psycho” in a group of strangers isn’t just embarrassing; it can feel threatening, like your identity is being rewritten without your consent. If you’ve ever been mischaracterized online, you know the unique kind of helplessness it can create.
But the leap from “I was insulted” to “I will sue dozens of people and multiple platforms” is also part of our era. We escalate because the internet escalates. We treat conflict as something you win by going bigger—more screenshots, more posts, more lawsuits.
And then reality kicks in: courts don’t run on vibes. They run on pleading standards, doctrines, and evidence. If your filings aren’t airtight—if they contain errors that appear AI-generated, or citations that evaporate when checked—your case can collapse long before you get to the emotional catharsis you thought the legal system would deliver.
The uncomfortable takeaway
If you’re looking for a tidy moral, I don’t think there is one. Instead, there are two uncomfortable truths sitting side by side.
First: online groups can be cruel, and the harm can be real, even when the words are tossed out casually. Second: the legal system punishes sloppiness, especially when it looks like someone tried to outsource credibility to a machine that doesn’t understand truth.
So here’s the question I can’t stop asking: when you’re angry and embarrassed and tempted to “do something,” are you moving toward clarity—or just toward a bigger, more expensive mess? Because in this case, the attempt to hold Meta responsible didn’t just fail. It was met with a judicial note of suspicion that the attorney’s work product included the kinds of mistakes that “bear the hallmarks” of generative AI misuse.
And that suspicion, once it’s on the record, tends to linger.
Comments