The Facts
Following reports that elite U.S. law firm Sullivan & Cromwell submitted court filings containing false, AI-generated citations, the fallout is no longer limited to the courtroom.
The firm had apologised after acknowledging that parts of a bankruptcy filing included incorrect and non-existent legal references, attributing the issue to artificial intelligence “hallucinations.” The filing, submitted in a high-stakes case before Judge Martin Glenn, was flagged after opposing counsel identified multiple inaccuracies.
At the time, the explanation followed a now-familiar pattern. The AI generated the content. The citations appeared legitimate. The error, at least initially, was framed as a failure of the system.
That framing is now being challenged publicly.
The Blame
As the story circulated, legal professionals began pushing back on the idea that AI could carry meaningful responsibility for what happened.
Trademark attorney Robert Freund, commenting on the case, pointed out that the issue is not whether AI can produce false information. That is already understood. The issue is that those errors made it into a court filing at all.
In legal practice, verification is not optional. Every cited case is expected to be checked, confirmed, and defensible. Delegating that responsibility to a tool and then pointing back to the tool when it fails does not meet that standard.
The term “hallucination” may explain how the citations were generated. It does not explain why they were trusted.
The Real Story
What this follow-up reveals is not a new problem, but a clearer line of accountability.
AI tools are capable of producing structured, confident, and convincing legal text. That includes citations that look real enough to pass a surface-level review. The risk is not randomness. It is credibility without verification.
That is where human judgment is supposed to step in.
Law firms operate on layered review systems. Drafts are checked. Arguments are refined. Citations are verified. When that process works, errors are caught long before submission. When it fails, the issue is not the existence of AI output. It is the absence of effective oversight.
Blaming the tool shifts attention away from that breakdown.
The Aftermath
The response from within the legal community suggests that patience for AI-related excuses is wearing thin.
Earlier incidents involving fabricated citations were treated as cautionary examples. This case, involving a firm operating at the highest level of the profession, has prompted a different reaction. The expectation is no longer that lawyers are learning how to use AI. It is that they already understand its limits.
Courts have not yet issued new sanctions in this specific instance, but the trajectory is clear. The more these cases repeat, the less tolerance there will be for explanations that rely on the technology rather than the professionals using it.
The Verdict
WHO’S BLAMING AI:
Sullivan & Cromwell, attributing false legal citations to AI “hallucinations.”
WHO’S PUSHING BACK:
Lawyers, including Robert Freund, argue that verification failures cannot be outsourced to AI tools.
WHAT ACTUALLY HAPPENED:
AI-generated citations were included in a court filing without proper verification, passing through professional review processes that are designed to prevent exactly this type of error.
WHO GOT AWAY WITH IT:
For now, accountability remains largely reputational, though growing scrutiny from both courts and the legal community is narrowing the space for AI-based excuses.
BLAME RATING: 🤖🤖🤖🤖 (4/5 robots) – The AI produced the errors, but the failure to catch them sits squarely with the humans responsible for the filing.
