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[1]
People without lawyers are using AI to flood courts with lawsuits
Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust. In a nutshell: It's a case of another day, another problem caused by the proliferation of generative AI. More and more people are using the technology to file lawsuits in which they represent themselves, and, unsurprisingly, courts are being clogged with many of these frivolous suits. The New York Times highlights the case of Donald Sauve, a Minnesota man who sued his ex-wife, her lawyer, and a state judge after an earlier legal challenge was rejected as frivolous. His first handwritten complaint, which sought $275,000 in damages, was dismissed in less than a month for lack of jurisdiction. Three months later, Sauve returned with help from ChatGPT and Claude. This time, his complaint was neatly typed and accompanied by 50 additional filings, including what he called a "case law synthesis" supporting his claim. The case was dismissed, again, but before that happened, every filing had to be read, captioned by a clerk, and entered into the public docket. Sauve's example is a perfect illustration of the problem courts are now facing. AI has made it easier for people without lawyers to produce documents that look and sound like they were prepared by legal experts, even when the underlying claims are weak, confused, or baseless. In Sauve's case, Judge Patrick J. Schiltz, chief of Minnesota's US District Court, ordered that any further filings would be "shredded without any additional notice." Lawsuits filed by people representing themselves rather than using a lawyer are called pro se cases. They are common in federal courts, but most come from prisoners using prison law libraries to challenge conditions, convictions, or alleged civil rights violations. The AI-driven concern focuses more on non-prisoner pro se litigants. These are usually ordinary people who either can't afford legal help or believe they can argue their own case, and can now use chatbots to generate large volumes of court-ready paperwork. A new working paper from MIT's Anand Shah and USC's Joshua Levy examined the scale of the issue. Looking at more than 4.5 million non-prisoner federal civil cases from fiscal 2005 through fiscal 2026, along with 46 million PACER docket entries, the researchers found that non-prisoner pro se cases rose from a long-term average of around 11% to 16.8% in fiscal 2025. The study also found that pro se cases are creating more work once they enter the system. The volume of docket entries per court generated by these cases in the first 180 days had risen 158% above the pre-AI average by 2025. In a sample of 1,600 complaints from 2019 to 2026, more than 18% of 2026 complaints were flagged as likely containing AI-generated text. The counterargument here is that AI could help people who can't afford attorneys access a legal system that is often intimidating and expensive. Judge Michael Y. Scudder of the Seventh US Circuit Court of Appeals wrote this year that the technology offers "great promise" for improving access to justice. But courts are already warning that self-represented litigants remain responsible for AI-generated errors. In January, the Seventh Circuit said accuracy and honesty still matter after a pro se filing appeared to contain AI-generated false citations. As we reported last year, AI-generated legal filings were already making a mess of the judicial system by producing fake cases, phantom precedents, and fabricated citations. Today, the problem has moved beyond lawyers cutting corners to almost anyone with access to a chatbot.
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Random People Armed with AI and No Lawyer Are Reportedly Filling Judicial Dockets with Lawsuits
Don’t play innocent. If you’re a non-lawyer in the 2020s, you’ve at least had the passing thought that you could use an LLM to help you generate a killer lawsuit against someone who pissed you off. Or at least now I know it’s not just me. Thanks to AI, plaintiffs representing themselves, also known as “pro se†plaintiffs, are changing the legal landscape for the worse, according to a new study by MIT’s Anand Shah and USC’s Joshua Levy, reported on by the New York Times on Monday. The study has not yet been peer reviewed. It says that since the rollout of widely available LLMs, 18 percent of pro se filings now contain what the authors have deemed AI-generated text. Perhaps consequently, “the total volume of pro se docket entries per court in the first 180 days of a case has grown by 64% on average across the post-AI period,†the study finds. Typically, pro se filings come from prisoners working on their cases from behind bars, but the study notes that “national non-prisoner pro se filing share rose sharply from its approximately 11% historical steady state to 16.8% in fiscal year 2025, a gain that has no precedent in 25 years of administrative records.†According to the Times, pro se plaintiffs lost 96% of their cases from 1998-2017. The Times is largely spotlighting frivolous lawsuits generated with AIâ€"and what a waste of time it is for the courts to painstakingly read and process all these slop-filled filings. A Minnesota federal judge named Patrick J. Schiltz, called it “an existential threat to the federal courts.†To illustrate their point, the Times interviewed a man who uses AI to generate lawsuits. This person gave the paper his name, and allowed himself to be photographed for the story. Courts have alleged some unsavory things about this person, and the Times says he lives in his car. He is, to use one of the president’s favorite terms, straight from central castingâ€"so much so that the Times' story borders on, well, mean. I can’t dispute that AI lawsuits sound like a massive problem. At the same time, lawsuits are often the only weapon downtrodden Americans haveâ€"a substitute for institutions and politicians that actually help make us whole when we're harmed and it's not our fault. Part of me can’t help but long to read a David and Goliath story about a rando armed with Claude who bootstraps their way to some life-changing, ten-figure legal victoryâ€"presumably after using the LLM to figure out how to argue a case in a courtroom as well.
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Artificial intelligence floods court dockets with home-brewed lawsuits
The complaint Donald Sauve submitted in Minnesota last year was a familiar type in the nation's federal courts. In legal parlance, Sauve filed "pro se," Latin for "for oneself," meaning he had no lawyer as he sued his ex-wife, her lawyer and a state judge who had rejected one of his earlier legal challenges as "frivolous." In a handwritten scrawl, he previously filed a suit asking for $275,000 in damages, claiming he had been unlawfully deprived of his home. It took less than a month for Judge Jerry W. Blackwell to dismiss the case for lack of jurisdiction. Three months later, Sauve was back. This time he had help. Using ChatGPT and Claude, Sauve filed a new complaint in federal court. This time, it was a neatly typed document accompanied by 50 additional filings including a "case law synthesis" of legal research he said backed up his claim. In an interview, Sauve said artificial intelligence had provided "the only path forward" for his case. "Knowledge is power," he said. Federal judges and legal experts said they are increasingly seeing filings like Sauve's flooding court dockets and clogging an already overburdened system as AI supercharges pro se litigation -- even as it opens up the legal system to people who might not otherwise be able to afford to bring a case. The eventual outcome for Sauve was the same. In September, two months after he filed, Judge Patrick J. Schiltz, chief of Minnesota's U.S. District Court, dismissed his suit again, this time in a 14-page opinion that found he had failed to clearly state a claim. But first, each one of Sauve's filings had to be read, captioned by the clerk and entered on the public docket. Schiltz entered an order that any further filings would be "shredded without any additional notice." "A litigant cannot dump hundreds of pages of documents on a court and expect the court to sift through them to find facts or arguments that might support claims against a defendant," Schiltz wrote, as he dismissed the case. In interviews, judges and experts said that the use of AI by pro se litigants also offers potential upsides. "AI presents great promise for enhancing access to justice for those without the resources to retain counsel or to represent themselves effectively," wrote Judge Michael Y. Scudder of the 7th U.S. Circuit Court of Appeals this year, when ruling on a pro se case. And some federal judges are also discussing ways that AI could be used responsibly to help with workflow in their own chambers, noting that it's possible that AI could someday be used to help clerks to read and assess a larger number of filings. In the meantime, however, many judges emphasized the seriousness of the immediate workload problem created by AI-enabled pro se filings. Schiltz, who declined to discuss any particular case, characterized the overall problem as "an existential threat to the federal courts." The arrival of AI has caused the number, length and complexity of pro se filings to "increase dramatically," he said. "There's just no end in sight, and no satisfactory solution in sight either." 'Something Has to Give' Each year, U.S. District Courts handle roughly 300,000 new lawsuits; another 42,000 new cases are filed in the courts of appeal. One third of that combined caseload comes from pro se litigants, according to data compiled by the Administrative Office of the U.S. Courts, which helps oversee the federal court system. Many of them are prisoners using law libraries to assert their civil rights or otherwise challenge prison conditions. Others are ordinary people who either can't afford a lawyer or believe themselves to be their own best advocate. Between 1998 and 2017, pro se plaintiffs lost 96% of the cases they brought. But judges, lawyers and academics say the volume of filings by pro se litigants has risen dramatically alongside AI's widespread adoption. The proportion of pro se cases filed by nonprisoners increased from 11% of all civil cases five years ago to 16.8% in 2025, according to a new study by two doctoral candidates that has not been peer reviewed. The study found that much of the increase comes from the use of AI by pro se plaintiffs. The number of pro se complaints flagged as likely containing AI-generated text rose from virtually zero in 2019 to more than 18% in 2026, the study found. "Judges still only have 24 hours in a day," said Anand V. Shah of the Massachusetts Institute of Technology and one of the study's authors. "Something has to give at some point." For litigants, the power of generative AI lies in its ability to turn a few short prompts from a user into lengthy documents with headers, citations and other earmarks of a legitimate legal brief. Steven Donohue, a staff attorney for the U.S. District Court for the District of Minnesota in charge of reviewing pro se filings, said he observed a roughly 50% uptick in filings from nonprisoners starting around March 2025. All sorts of pro se cases have been on the rise, Donohue said, including lawsuits alleging false arrest, malicious prosecution and messy domestic disputes involving divorce. In some instances, the cases involved "the bread and butter of state court," now filed in federal court with the help of AI-inspired applications of federal law. "Every eviction action could turn into a Fair Housing Act violation," he said. With careful human oversight, the output of AI can sometimes rival the work of a legal professional, at least for simple matters like drawing up a lease. But in more complex cases, as well as matters that might not be appropriate for a lawsuit, AI's well-established tendency to sometimes flatter and fabricate can cause it to churn out pages of quasi-legal boilerplate that lacks legal merit. Judges "look for truth," said Judge Joshua D. Wolson of the Eastern District of Pennsylvania at a judicial conference in May, speaking to the broader implications of AI. "When the ability to make things that look like truth but aren't -- the cost goes down, the quality goes up -- that's a real challenge for us as courts." Anthropic, the company that owns Claude, did not respond to a request for comment. A spokesperson for OpenAI, the company that owns ChatGPT, declined to comment. Their product's terms of use state that users own and bear the responsibility for its output, which should not be used as "a substitute for professional advice." (The New York Times sued OpenAI and Microsoft in 2023, claiming copyright infringement of news content related to AI systems. The two companies have denied those claims.) Fighting Alone Despite the drawbacks, judges and advocates said AI could be democratizing for the legal system -- opening the courts to people who might otherwise not be able to afford lawyers. "Used appropriately, it could be an incredibly powerful tool for someone who believes themselves to have been wronged and has a good faith belief in entitlement to redress," Donohue said. Decades before AI, pro se filings have led to monumental changes in the law. In 1963, a handwritten petition to the Supreme Court by Clarence Earl Gideon, a 52-year-old convict in a Florida state prison, established a constitutional right to counsel for felony cases in state courts. Sateesh Nori, a legal aid lawyer in New York for 20 years, said he embraced AI two years ago after concluding that legal aid resources in New York were failing to meet the city's needs. Despite a landmark law in 2017 that guaranteed free legal representation to low-income tenants facing eviction, Nori noted city data showing that as many as 50% still go to court without representation. "The real problem is: How come these people don't have another way, other than using AI," he said. Experts said there is little the courts can do to stem pro se filings even if they wanted to. People have a right, after all, to file lawsuits if they believe they have a claim. Peter Kaplan, a spokesperson for the Administrative Office of the U.S. Courts, said his office was "aware of this issue" and "is gathering information" on its effects on the legal system. In recent months, some courts have started issuing standing orders warning prospective pro se filers that using generative AI could expose them to penalties. When judges have run into filings with problematic hallmarks of AI, such as citations to case law that look real but are in fact fictional, many have been lenient to filers who are not lawyers. But some have flashed exasperation, dismissed cases and even issued substantial fines. In March, Judge Virginia Kendall, a federal judge in Illinois, fined a litigant $1,500 after concluding she had twice submitted a "fake case," littered with hallucinated citations in violation of court rules. "This wastes both the parties' and the court's time attempting to locate nonexistent cases and unpack made up factual assertions," she wrote. States have also started to explore legislation that would make AI companies liable if their chatbots were found to have handed out legal advice in place of a lawyer or other licensed professional but such measures have not yet been adopted. For some aggrieved litigants, pushback is unlikely to convince them to give up their AI-empowered legal arsenal. Sauve, the pro se filer from Minnesota, said he continues to pursue efforts to regain his old home. He lost possession of it following a messy divorce, which included a finding from a judge that he abused his ex-wife and one of his children. He denies that allegation. "They call me 'frivolous.' That appears to be a way that the court is protecting itself," he said. "OpenAI told me this, and I think Claude will confirm it as well," he said of his belief that the law is on his side. "I did a lot of research into this whole situation." Sauve is 69 years old and currently living out of his car in Mora, Minnesota. He continues to pursue various forms of legal redress from a supermarket coffee shop. With the help of AI, he plans to soon make more "SCOTUS-grade filings," he said, bringing new lawsuits to the state supreme court, a federal appeals court and a county court as well.
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People are using AI to defend themselves in US courts: Why it's a problem
Donald Sauve walked into a federal court in Minnesota with nothing but a handwritten complaint and a grievance against his ex-wife, her lawyer and a state judge. His claim was that he had unlawfully been deprived of his home. This case was dismissed almost immediately for lack of jurisdiction. Still wanting justice to be served, he returned to the court 3 months later but this time he was armed with the powers of the ever so helpful AI Chatbots. Also read: Starlink has a radio wave problem that laser communication can fix, here's how Sauve came back with the an impressively drafted complaint with the help of ChatGPT and Claude, 50 additional filings, and a "case law synthesis" based on the legal research he conducted that supposedly supported his claims. The documents were professionally done. They seemed credible. And yet, they did not make a difference at all and were tossed away once more after being the basis for a judicial ruling consisting of 14 pages. A handwritten complaint was rejected after some weeks. An AI version took much more work from the court before coming to the same decision. Every filing had to be read, logged, captioned by a clerk, and entered into the public record before Judge Patrick Schiltz could finally rule that Sauve had failed to clearly state a single claim. The point is worth mentioning here. Sauve made 50 filings and a case law synthesis based on legal research. And there were no legitimate claims to substantiate a case. In doing so, it reveals the fundamental illusion that is being perpetrated. While AI enabled Sauve to structure his claim as a legally legitimate document, complete with proper citations, formatting, and legal jargon, what it could not offer him was the substance of the claim itself. Far from being an openly laughable submission, what the software created was something far worse, a veneer of legal legitimacy that belied a total lack of substance behind it. Also read: More code, more vulnerabilities, more jobs: How AI is reshaping cybersecurity hiring And such a disjuncture between legal substance and superficial legitimacy lies at the center of a crisis brewing in America's federal courts. While federal courts have long been hospitable to individuals filing "pro se," meaning without legal representation, there is a new reality to consider. What once required months of self-education in a law library can now be generated in minutes. The volume, and the problem, has grown accordingly. Federal district courts are faced with about 300,000 civil cases annually, while another 42,000 civil lawsuits are filed before appellate courts. As many as one-third of these cases have been initiated by pro se litigants. According to the judges and attorneys, this number is on the rise - not because there are more complaints that require judicial attention, but rather because of how easily AI can generate legal-looking documents based on questionable premises. The consequences are not abstract. Every filing, however meritless, demands judicial time and staff resources. Judge Schiltz eventually ordered that any further filings from Sauve would be destroyed without notice. A court, he wrote, cannot be expected to excavate hundreds of pages of documents searching for facts that might support a claim. However, the use of AI is neither purely evil nor illegal. On the contrary, both legal professionals and judges admit that AI has much potential for democratizing law and making it accessible for everyone who could otherwise not afford to hire a lawyer. The problem is that the entire structure of the justice system was not designed to accommodate such changes.
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Federal courts face an unprecedented wave of AI-generated lawsuits as individuals without legal representation use tools like ChatGPT and Claude to produce professional-looking filings. A new MIT and USC study reveals pro se cases have surged from 11% to 16.8% of all civil cases, with court workload increasing 158% above pre-AI averages. While the technology promises greater access to justice, judges warn the flood of meritless filings poses an existential threat to an already overburdened judicial system.
The case of Donald Sauve illustrates a growing problem confronting America's judicial system. After his handwritten complaint seeking $275,000 in damages was dismissed in less than a month for lack of jurisdiction, the Minnesota man returned three months later armed with ChatGPT and Claude
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. His new filing was professionally formatted and accompanied by 50 additional documents, including what he called a "case law synthesis" supporting his claim3
. The result was the same dismissal, but this time Judge Patrick J. Schiltz had to wade through hundreds of pages before issuing a 14-page opinion. Every filing required reading, captioning by clerks, and entry into the public docket before Schiltz could determine Sauve had failed to clearly state a claim1
.
Source: Digit
This scenario is playing out across federal courts as AI lawsuits and pro se filings surge to unprecedented levels. Large Language Models have made it possible for individuals without legal representation to generate documents that look and sound like they were prepared by legal experts, even when underlying claims are weak, confused, or baseless
1
. Judge Schiltz, chief of Minnesota's US District Court, characterized the overall problem as "an existential threat to the federal courts"3
.A new working paper from MIT's Anand Shah and USC's Joshua Levy examined more than 4.5 million non-prisoner federal civil cases from fiscal 2005 through fiscal 2026, along with 46 million PACER docket entries
1
. The MIT and USC study found that non-prisoner pro se cases rose from a long-term average of around 11% to 16.8% in fiscal 20251
. More striking, the volume of docket entries per court generated by these cases in the first 180 days had risen 158% above the pre-AI average by 20251
.In a sample of 1,600 complaints from 2019 to 2026, more than 18% of 2026 complaints were flagged as likely containing AI-generated text
1
. This represents a dramatic shift from virtually zero AI-generated filings in 20193
. Steven Donohue, a staff attorney for the US District Court for the District of Minnesota in charge of reviewing pro se filings, observed a roughly 50% uptick in filings from nonprisoners starting around March 20253
.
Source: Gizmodo
The power of generative AI lies in its ability to turn a few short prompts into lengthy documents with headers, citations, and other earmarks of legitimate legal filings
3
. What once required months of self-education in a law library can now be generated in minutes4
. However, this creates a dangerous disconnect between form and substance. While AI enables people to structure claims as legally legitimate documents complete with proper formatting and legal jargon, it cannot provide the substantive merit that actual cases require4
.This veneer of legitimacy makes frivolous lawsuits harder to identify and dismiss quickly, burdening the judicial system with meritless filings that demand significant time and resources
4
. Each year, US District Courts handle roughly 300,000 new lawsuits, with another 42,000 new cases filed in courts of appeal. One third of that combined caseload comes from pro se litigants3
. Between 1998 and 2017, pro se plaintiffs lost 96% of the cases they brought2
.Related Stories
The situation presents a complex dilemma for federal courts. Judge Michael Y. Scudder of the Seventh US Circuit Court of Appeals wrote this year that the technology offers "great promise" for enhancing access to justice for those without the resources to retain counsel or represent themselves effectively
3
. For people who cannot afford attorneys, AI tools like ChatGPT and Claude could theoretically democratize the legal system and make it accessible to everyone4
.Source: TechSpot
Yet courts are warning that self-represented litigants remain responsible for AI-generated errors. In January, the Seventh Circuit emphasized that accuracy and honesty still matter after a pro se filing appeared to contain false citations generated by AI
1
. The problem has evolved beyond lawyers cutting corners to almost anyone with access to a chatbot producing documents that flood court dockets1
. As Shah from MIT noted, "Judges still only have 24 hours in a day. Something has to give at some point"3
. The challenge ahead involves finding ways for AI to defend themselves in US courts responsibly while preventing the technology from overwhelming court operations entirely.Summarized by
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