How courts are coping with a flood of AI-generated lawsuits

Judge interacting with a holographic brain model displaying AI evidence analysis probability

For courts and legal ops teams, the technical story is not just that people are using chatbots to draft filings; it is that AI is changing the input quality of the judicial workflow. Better-structured pleadings can reduce ambiguity for judges, but they also introduce new failure modes: fabricated citations, hallucinated facts, and confident but incorrect legal framing. That creates a practical need for document review processes that can spot machine-written patterns without treating every assisted filing as suspicious.

The most important systems question is where the boundary sits between user privacy and platform visibility. If litigants rely on chatbots to shape arguments, courts must decide whether those interactions should be treated like attorney work product or ordinary third-party communications. That affects discovery, evidence handling, and how far AI vendorsโ€™ data retention and disclosure practices can reach into litigation. The split decisions described in the source show that governance is still catching up with the software architecture behind these tools.

There is also an operational risk for organizations that may face similar AI-assisted complaints or responses: once a chatbot helps draft legal content, it can accelerate volume without improving legal merit. That means more filings to triage, more inconsistency to manage, and more need for human oversight at the point where AI output becomes official process. For technical leaders, the lesson is familiar: automation can improve throughput, but only if controls for verification, provenance, and escalation are built in.

In other words, the emerging challenge is less about whether AI can write a pleading and more about how institutions authenticate, govern, and respond to AI-mediated decisions. Courts are becoming a live example of what happens when generative systems move from experimentation into regulated, high-stakes workflow.


Most days in her chambers, Judge Maritza Braswell, a federal magistrate judge in Colorado, sifts through stacks of documents written by people without a lawyer. Many of them canโ€™t afford to hire a lawyer, and others have cases too weak or too small to interest one. She reads each one carefully, mindful of how daunting it is to walk into the courtroom alone.ย 

Lately, like many judges across the US, she has seen a noticeable uptick in such filings. According to a new Original Postapers.cfm?abstract_id=6766859">study that examined 4.5 million federal civil cases from 2005 to 2026, the share of lawsuits brought by self-represented people increased from 11% in 2022 to 16.8% in 2025. Within those cases, the number of filings made more than doubled from pre-2023 levels.ย 

Judge Braswell puts that jump down to AI.ย 

โ€œI do correlate that to AI in part because I see AI use,โ€ she says. As a tech-savvy judge who uses AI to vet court documents, sheโ€™s learned to recognize how large language models write. She can tell from the prose and at times, hallucinated cases and fabricated quotes.ย 

โ€œIโ€™m also actually seeing better-drafted pleadings,โ€ she says.ย 

But while AI appears to be expanding access to justice, it doesnโ€™t seem to be improving peopleโ€™s chances of winning. Judges are also starting to question what kinds of rights and responsibilities large language models should bear as they step into lawyersโ€™ shoes. For example, they ask whether a chatbot has a duty to provide good advice, as a human lawyer does. And a growing number of lawmakers across the US are starting to grapple with who should pay the price when chatbots dish out bad legal advice.ย 


AI supercharges lawsuits

To test whether AI was driving the increase in lawsuits filed by people without a lawyer, the authors of the study, Anand Shah at MIT and Joshua Levy at the University of Southern California, ran 1,600 randomly sampled court documents through Pangram, a commercial AI-text detector. The share flagged as containing AI-generated writing rose from 1% in 2023 to 18% in 2026.ย 

To Judge Braswell, thatโ€™s not necessarily a cause for concern. While the surge of AI-assisted filings might be adding to their workloads, she and many other judges find the cases easier to rule on because AI is helping people without legal training better articulate their arguments.ย 

Court documents written by people without lawyers are notoriously hard to decipher. Some arrive as handwritten scrawls bordering on gibberish that judges take a while to decode. However cryptic, judges are required to read them charitably.

These days, Judge Braswell has been churning through motions drafted by AI faster than the ones written by the litigants.ย โ€œI have to be really careful because some of them contain hallucinations and errors, but I can generally understand what theyโ€™re arguing better with AI assistance from them than without it,โ€ she says.

The clearer filings let Judge Braswell hear them better. โ€œIf I understand an argument a little bit better, Iโ€™m probably going to be able to help a little bit more,โ€ she says.

Online communities are springing up to trade self-help guides on using AI to sue. In December 2024, a viral Reddit post walked immigration applicants through suing the United States Citizenship and Immigration Services over delayed review of their applications: draft a writ of mandamus with Microsoft Copilot, pay a lawyer $150 to polish it, and file in the expedient District of Vermont. Cases filed by people without lawyers in Vermont rose from about 45 a year before 2022 to more than 1,100 in 2024.ย 

Even so, people without lawyers are far more likely to lose their case than people with lawyers, and thatโ€™s not changing even with the addition of AI, the study found.ย 

โ€œIt turns out that mounting a lawsuit is a complex, multifaceted task. Not all of it is just drafting text,โ€ says Levy.ย 

Chatbot-client privilege

Judge William Garfinkel, a federal magistrate judge in Connecticut, has served on the bench for three decades, pondering all sorts of questions about lawyersโ€™ relationship with their clients. Lately, he has been wondering whether peopleโ€™s conversations with chatbots dispensing legal advice should be privileged, the way their conversations with lawyers are.ย 

โ€œYou can make a good argument that โ€ฆ conversations with large language models like Claude or ChatGPT or Grok should deserve some protection,โ€ he says.

Courts are starting to grapple with this question. In February, a federal court in Michigan ruled that a self-represented personโ€™s conversations with ChatGPT to prepare her case were work productโ€”legal work that is shielded from the opposing side.

The decision came on the same day a federal court in New York held that documents a criminal defendant had generated using Claude were not privileged attorney-client conversations or work product. The court argued that Claude is not an attorney and that a user has no โ€œreasonable expectation of confidentiality in his communicationโ€ with it because AI companies can disclose user data to third parties.ย 

In March, Judge Braswell ruled that a self-represented personโ€™s use of a chatbot should stay off limits. โ€œIt is true that AI systems like ChatGPT, Claude, Gemini, and others โ€ฆ collect user data for training and other purposes. But โ€ฆ that does not eliminate all expectations of privacy,โ€ she wrote. Courts have since remained split on the issue.

Malpractice without a pulse

Some judges are also wondering whether a chatbot, like a lawyer, has a duty to provide good legal advice. Judge Allison Goddard, a federal magistrate judge in California, has noticed that people without lawyers often get the wrong advice from ChatGPT when trying to assess the value of their case during settlement negotiations. In one case, a plaintiff who slipped and fell in a store asked for $700,000 from the store, which was wildly more than the case was worth.

โ€œWhere are you getting the idea that youโ€™re getting $700,000? Did you go to ChatGPT?โ€ Judge Goddard asked. โ€œWell โ€ฆโ€ the plaintiff mumbled. She then walked the person through the law to explain why ChatGPT was wrong and suggested a lower amount. โ€œItโ€™s like Dr. Google went to law school,โ€ she says.

Then thereโ€™s the question of whoโ€™s liable when a chatbot makes such mistakes. In March, Nippon Life Insurance Company sued OpenAI alleging that ChatGPT practiced law without a license and helped a woman reopen a lawsuit that was already settled, flooding the court with frivolous filings. โ€œChatGPT is not an attorney,โ€ the lawsuit said.ย 

In May, OpenAI asked the court to dismiss the case, arguing that ChatGPT does not practice law. โ€œChatGPT is not a person and neither has nor uses any degree of legal โ€‹knowledge or skill,โ€ OpenAI said in its filing. The case is still pending before the court.

States have started to weigh legislation that would hold AI companies liable when their chatbots offer bad legal advice. New York introduced a bill in March that would bar chatbots from impersonating lawyers, even if they notify โ€‹users that they are interacting with chatbots. In Congress, a series of bills have been proposed to ban chatbots from posing as lawyers, doctors, and other licensed professionals. The bills have yet to gain traction.

For now, people will continue turning to AI to be their lawyer. For many of them, the rewards outweigh the risks. Not long ago, when Judge Braswell asked self-represented litigants why they wanted a particular piece of evidence, they mumbled timidly. Now, they answer her questions confidently, having rehearsed with a chatbot.ย 

โ€œThis is a really tough system to navigate. With AI, though, it gets a little less complex,โ€ she says.

https://www.technologyreview.com/2026/06/04/1138391/courts-coping-ai-lawsuits/

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