{"meta":{"exportedAt":"2026-10-27T06:49:37.482Z","formatVersion":2,"selection":{"q":"pay","system":"","harm":"","context":"","country":"","role":"","relation":"contextual","evidence":"","year":"2026","response":"","severity":"","verification":"","view":"incidents","sort":"added"},"totalIncidents":5,"coverage":{"cases":5,"countries":3,"languages":2,"unknownLocation":0,"locationPending":0,"unknownLanguage":0,"unknownDate":0,"lawsuits":0,"regulatory":2,"minors":0,"coreRelations":3,"contextualRelations":5,"mixedRelations":3,"unknownRelations":0,"relationPending":0,"relationUnknown":0},"countingNote":"Distinct public cases in this selection. People counts apply within individual cases only; cross-case person overlap has not been resolved. No population incidence estimate.","affectedCountNote":"Interpret person counts with affectedCountStatus and the reported effects. Unquantified zeros are placeholders, not a measured zero.","source":"AI incidents","publisher":"NOPE","url":"https://nope.net/incidents","license":"CC BY 4.0"},"incidents":[{"id":"2026-arizona-appeals-court-strikes-self-represented-appellants-ai-hallucinated-citations-orders-fees-sanction","caseFacts":{"claims":[{"id":"c1","status":"reported","evidence":[{"locator":"In his opening brief with the Court of Appeals, he made eight citations. The court found that six of them were deficient; two were cases that “simply do not exist.”","relation":"supports","source_id":"s1"}],"assertion":"The self-represented appellant's opening brief made eight citations; the court found six deficient, including two cases that do not exist.","causal_attribution":"The court's findings as reported by the Arizona Mirror."},{"id":"c2","status":"reported","evidence":[{"locator":"readily acknowledged that he relied on generative AI to write his brief; he admitted he did nothing to independently verify the citations","relation":"supports","source_id":"s1"}],"assertion":"In a written explanation and at a hearing on the false citations he acknowledged relying on generative AI to write the brief and admitted doing nothing to verify the citations.","causal_attribution":"The appellant's own acknowledgement, recorded in the opinion and reported by the Arizona Mirror."},{"id":"c3","status":"reported","evidence":[{"locator":"Accordingly, citing a hallucinated case in a legal filing is sanctionable conduct; traceable to dealing with the fake citations; appeal was also rejected because there were no supportive legal authorities for his claims once the inaccurate and false citations were stricken","relation":"supports","source_id":"s1"}],"assertion":"The court held that citing a hallucinated case is sanctionable regardless of intent, ordered him to pay the portion of the other party's attorney's fees traceable to the fake citations, and rejected the appeal because no supportive authority remained once the citations were struck.","causal_attribution":"The court's ruling as reported."},{"id":"c4","status":"reported","evidence":[{"locator":"The three-judge panel noted that court rules allow for more severe sanctions, including contempt charges and monetary fines.; isn’t a trained legal professional, it opted to narrowly sanction him","relation":"supports","source_id":"s1"}],"assertion":"The court chose this narrow sanction over contempt or fines because he said he did not intend to deceive and is not a trained legal professional.","causal_attribution":"The court's reasoning as reported."}],"effects":[{"label":"brief citations struck, appeal rejected and fee sanction ordered","claim_id":"c3","direction":"negative"}],"sources":[{"id":"s1","url":"https://kiowacountypress.net/content/arizona-court-appeals-citing-fake-ai-generated-cases-can-get-you-sanctioned-no-matter-your","kind":"news","access":"read","language":"en","translation_note":"Read in full in English by the research agent (an AI) on 2026-10-18 (HTTP 200); no translation was needed. Republication of the Arizona Mirror (States Newsroom) report.","independence_group":"arizona-mirror-report-jul-2026"}],"version":1,"ai_roles":["own_use"],"contexts":["justice"],"unknowns":["Which generative AI tool the appellant used.","The amount of the fee award, which depended on the other party's documentation."],"geography":{"basis":"The brief was filed in, and the sanction imposed by, the Arizona Court of Appeals in a Maricopa County probate appeal. Residence is not used.","court_countries":["US"],"event_countries":["US"],"affected_person_countries":[]},"publication":{"basis":"Published on the Arizona Mirror's report of the Court of Appeals opinion of 15 July 2026: a self-represented appellant acknowledged relying on generative AI to write a brief that cited nonexistent cases, and the court struck the citations, rejected the appeal and ordered him to pay the fees they caused. The parties are private persons and are not named.","reviewed_on":"2026-10-18"},"ai_involvement":{"basis":"The appellant acknowledged in a written explanation and at a hearing on the false citations that he relied on generative AI to write his opening brief, which the court found cited two nonexistent cases and misstated others; the AI-generated text reached him (communicated_with), and the court read the fabricated citations, struck them, rejected the appeal for want of authority and imposed a fee sanction for them (informed_decision_about). The tool is not named.","status":"supported"},"person_relations":["communicated_with","informed_decision_about"]},"name":"Arizona appeals court strikes a self-represented appellant's AI-hallucinated citations, rejects his probate appeal and orders him to pay fees as a sanction","summary":"In a published opinion of July 2026, the Arizona Court of Appeals found that a self-represented appellant's opening brief in a probate dispute contained eight citations, six of them deficient, including two cases that do not exist. In a written explanation and at a hearing on the false citations he acknowledged relying on generative AI to write the brief and said he did nothing to verify the citations. The court struck the inaccurate and false citations, rejected the appeal because no supportive authority remained, held that citing a hallucinated case is sanctionable whether or not it is intended, and ordered him to pay the share of the other party's attorney's fees traceable to the fake citations. Because he said he did not intend to deceive and is not legally trained, the court chose this narrow sanction over contempt or fines. It described the opinion as the first published Arizona ruling on generative AI hallucinations in filings.","incidentDate":"2026-07-15","incidentKind":"single_event","incidentDatePrecision":"day","exposurePattern":"single_interaction","reportedDate":"2026-07-19","aiSystem":"Generative AI, not identified in the report, that the appellant said he relied on to write his opening brief, which cited two nonexistent cases and misstated others","aiProduct":"Unidentified AI drafting tool","severity":"low","verificationStatus":"credible","harmCategories":[],"harmOutcomes":["legal_harm","financial_loss"],"harmOutcomeSummary":"According to the court, the appellant's AI-drafted brief cited nonexistent cases; the citations were struck, the appeal was rejected and he was ordered to pay the share of the other party's attorney's fees caused by the fake citations.","frameworkFacets":[],"causationStatus":"established","participantUsersAffectedMin":1,"otherPeopleHarmedMin":0,"affectedCountStatus":"exact","affectedCountEvidence":"One person: the self-represented appellant who used generative AI and was sanctioned.","victimAgeRange":"adult","jurisdiction":"US-AZ","platformType":"other","outcomeType":"regulatory_action","outcomeStatus":"resolved","primarySourceUrl":"https://kiowacountypress.net/content/arizona-court-appeals-citing-fake-ai-generated-cases-can-get-you-sanctioned-no-matter-your","primarySourceLabel":"Arizona Mirror (States Newsroom), republished by Kiowa County Press, July 2026: Arizona Court of Appeals on sanctions for fake AI-generated cases","firstPublishedAt":"2026-10-18T03:14:48.762612+00:00","updatedAt":"2026-10-18T03:14:48.762612+00:00","scopeVersion":"facts-v3","tags":["hallucinated-citations","self-represented-litigant","appeal","sanction","attorney-fees","arizona"]},{"id":"2026-new-york-federal-court-defaults-client-and-orders-lawyer-to-pay-fees-over-ai-generated-false-citations","caseFacts":{"claims":[{"id":"c1","status":"documented","evidence":[{"locator":"'motion to dismiss that was peppered with false citations'; 'Top alerted the Court to a series of faulty citations'; 'Defendants Top Experience Company LLC (“Top”) and'; 'cited that did not exist, and eight cases that did exist but did not contain the quotes'; 'Once again, his brief contained false citations'","relation":"supports","source_id":"s2"}],"assertion":"In June 2025 the defendant's lawyer filed a brief supporting its motion to dismiss that, a co-defendant's lawyer showed, cited at least thirteen cases that did not exist and eight real cases that did not contain the quoted words; a later response to the court and a proposed reply brief also contained false citations.","causal_attribution":"The court's findings in its sanctions opinion."},{"id":"c2","status":"documented","evidence":[{"locator":"'unreported cases located via Google Scholar, Google search, or the AI-assisted platform vLex, and then cite-checking those cases by running the brief through a different AI program'; 'introduced citation errors that he mistook as corrections and thus neither reviewed nor fixed'; 'I used generative AI to confirm that the information that I wrote was correctly referencing the information that I had'; 'The tool he claimed to use was NotebookLM'; 'The Court does not find the second explanation credible'; 'Court finds that explanation extremely difficult to believe'","relation":"supports","source_id":"s2"}],"assertion":"The lawyer said he located unreported cases through Google Scholar, Google search and the AI-assisted platform vLex, cite-checked the brief by running it through AI programs (vLex or Paxton AI) that he said introduced the errors, and used NotebookLM to review the content of his response; the court did not find his account of how the errors arose credible and found his NotebookLM account extremely difficult to believe.","causal_attribution":"Documented as the lawyer's statements recorded by the court; his account of how the errors arose is his own and the court rejected it in part."},{"id":"c3","status":"documented","evidence":[{"locator":"'by submitting false citations to the Court produced by generative artificial intelligence (“AI”) and then lying about their genesis'; 'had acted in bad faith'","relation":"supports","source_id":"s1"}],"assertion":"The court later described the sanctioned conduct as submitting false citations produced by generative AI and then lying about their origin, and recalled its finding that the lawyer acted in bad faith.","causal_attribution":"The court's own characterisation in the 9 October 2026 order."},{"id":"c4","status":"documented","evidence":[{"locator":"'by striking Affable’s submissions and entering default judgment against it'; 'nor a client from its attorney’s misdeeds'; 'to enter judgment in favor of Plaintiffs and against Affable Avenue LLC'; 'Dated: February 5, 2026'","relation":"supports","source_id":"s2"},{"locator":"'Court imposed terminal sanctions on Affable'","relation":"supports","source_id":"s1"}],"assertion":"On 5 February 2026 the court sanctioned the lawyer by striking his client's motion papers and entering default judgment against the client, holding that a client is not excused from its lawyer's misdeeds.","causal_attribution":"The court's order; the court ties the sanction to the false citations."},{"id":"c5","status":"documented","evidence":[{"locator":"'then-counsel to Defendant Top Experience Company LLC (“Top”), who had provided substantial assistance to the Court by investigating and reporting'; 'awards his firm $38,877.59'; 'for a total award of $38,877.59'; 'must be made by'; 'within 30 days of this Opinion, unless'; 'Dated: October 9, 2026'","relation":"supports","source_id":"s1"}],"assertion":"On 9 October 2026 the court awarded the firm of a co-defendant's former lawyer, who had investigated and reported the false citations, $38,877.59 in fees and costs, payable by the sanctioned lawyer within 30 days.","causal_attribution":"The court's order."}],"effects":[{"label":"client's motion papers struck and default judgment entered against it as a sanction on its lawyer","claim_id":"c4","direction":"negative"},{"label":"lawyer ordered to pay $38,877.59 in fees and costs","claim_id":"c5","direction":"negative"}],"sources":[{"id":"s1","url":"https://storage.courtlistener.com/recap/gov.uscourts.nysd.633195/gov.uscourts.nysd.633195.364.0.pdf","kind":"court_record","access":"read","language":"en","translation_note":"Read in full in English by the research agent (an AI) on 2026-10-16 from CourtListener RECAP storage (HTTP 200, text extracted with pdftotext); no translation was needed. ECF 364, 18 pp.","independence_group":"sdny-24-civ-9429-court-orders"},{"id":"s2","url":"https://storage.courtlistener.com/recap/gov.uscourts.nysd.633195/gov.uscourts.nysd.633195.227.0.pdf","kind":"court_record","access":"read","language":"en","translation_note":"Read in full in English by the research agent (an AI) on 2026-10-16 from CourtListener RECAP storage (HTTP 200, text extracted with pdftotext); no translation was needed. ECF 227, 33 pp.","independence_group":"sdny-24-civ-9429-court-orders"}],"version":1,"ai_roles":["own_use"],"contexts":["justice","work"],"unknowns":["Which tool generated each false citation; the lawyer's account names several tools and the court rejected parts of it.","Whether the lawyer has paid the award, appealed, or been referred to a disciplinary body; neither order mentions a referral.","The amount of damages to be assessed against the defaulted client."],"geography":{"basis":"The filings were made in, and the sanctions imposed by, the U.S. District Court for the Southern District of New York. Where the lawyer and the client are based is not used.","court_countries":["US"],"event_countries":["US"],"affected_person_countries":[]},"publication":{"basis":"Published because the court's two orders, read in full, record the lawyer's own account of using AI tools to find and check citations, describe the false citations as produced by generative AI, and impose default judgment on his client and a $38,877.59 fee award on him because of them.","reviewed_on":"2026-10-16"},"ai_involvement":{"basis":"The lawyer told the court he found cases through the AI-assisted platform vLex and cite-checked his brief by running it through AI programs (vLex or Paxton AI), which he said introduced the errors, and that he used NotebookLM to review a later submission (communicated_with). The court's 9 October 2026 order describes the sanctioned filings as false citations produced by generative AI. The court read those citations and, because of them, struck the client's papers, entered default judgment against the client and ordered the lawyer to pay fees (informed_decision_about). Which tool generated each false citation is not established.","status":"supported"},"person_relations":["communicated_with","informed_decision_about"]},"name":"New York federal court enters default judgment against a defendant and orders its lawyer to pay $38,877 after false citations it found AI produced","summary":"In a federal trademark suit in the U.S. District Court for the Southern District of New York, the court on 5 February 2026 struck a company defendant's motion papers and entered default judgment against it as a sanction on its lawyer, after his filings repeatedly cited nonexistent cases and misattributed quotations. The lawyer said he had found and cite-checked cases with AI tools (vLex and Paxton AI) and used NotebookLM to review a later submission; the court rejected his explanations and found he acted in bad faith. On 9 October 2026 the court described the citations as produced by generative AI and ordered the lawyer to pay $38,877.59 in fees and costs to the firm of a co-defendant's former lawyer, who had reported the false citations to the court.","incidentDate":"2026-02-05","incidentEndDate":"2026-10-09","incidentKind":"bounded_series","incidentDatePrecision":"day","exposurePattern":"repeated_interactions","reportedDate":"2026-02-05","aiSystem":"AI legal research and cite-checking tools the lawyer said he used (vLex with AI functionality, Paxton AI) and NotebookLM, which he said he used to review his response to the court; the court found the citations were produced by generative AI","aiProduct":"vLex, Paxton AI and NotebookLM (reported)","severity":"medium","verificationStatus":"credible","harmCategories":[],"harmOutcomes":["legal_harm","professional_harm","financial_loss"],"harmOutcomeSummary":"According to the court's orders, the defendant's motion papers were struck and default judgment entered against it as a sanction for its lawyer's filings with false citations, which the court describes as produced by generative AI, and the lawyer was ordered to pay $38,877.59 in fees and costs.","frameworkFacets":[],"causationStatus":"established","participantUsersAffectedMin":1,"otherPeopleHarmedMin":0,"affectedCountStatus":"partial","affectedCountEvidence":"One person counted: the lawyer, who described his own use of AI tools and was ordered to pay $38,877.59. The client against which default judgment was entered is a company; the people behind it are not described and are not counted.","victimAgeRange":"adult","jurisdiction":"US-NY","platformType":"other","outcomeStatus":"ongoing","primarySourceUrl":"https://storage.courtlistener.com/recap/gov.uscourts.nysd.633195/gov.uscourts.nysd.633195.364.0.pdf","primarySourceLabel":"U.S. District Court for the Southern District of New York, Opinion and Order on fees, ECF 364, 24 Civ. 9429 (9 October 2026)","firstPublishedAt":"2026-10-16T03:05:26.378079+00:00","updatedAt":"2026-10-16T03:05:26.378079+00:00","scopeVersion":"facts-v3","tags":["united-states","new-york","legal-profession","sanction","hallucinated-citations","default-judgment","attorney-fees"]},{"id":"2026-israel-magistrates-court-strikes-expert-report-resting-on-ai-hallucinated-case-law-costs","caseFacts":{"claims":[{"id":"c1","status":"documented","evidence":[{"locator":"'התרשלה בתפקידה כנאמנת'; 'ביום 10.3.26הגישה הנתבעת 2חוות דעת'","relation":"supports","source_id":"s1"}],"assertion":"The plaintiff alleges that the defendant, a lawyer acting as trustee, negligently transferred estate money to another person's account; the defendant filed a third-party notice against two banks and, on 10 March 2026, a banking expert's opinion.","causal_attribution":"The decision's own account of the pleadings; the negligence claim is an allegation in a continuing suit."},{"id":"c2","status":"documented","evidence":[{"locator":"'מבוססת על פסיקה ,חקיקה וספרות פיקטיביות שהומצאו ע\"י בינה מלאכותית ,ובכלל זה פסק דין שאינו קיים'; 'כאשר שאלת השימוש בבינה מלאכותית מקומה להתברר בחקירה נגדית'","relation":"supports","source_id":"s1"}],"assertion":"One bank asked the court to strike the opinion as resting on case law, legislation and literature invented by artificial intelligence, including a ruling that does not exist; the defendant replied that the question of AI use should be examined in cross-examination.","causal_attribution":"The parties' submissions as recorded by the court."},{"id":"c3","status":"documented","evidence":[{"locator":"'הליך שלא ניתן לאתרו לפי מספר או שם הצדדים'; 'מבדיקה עצמאית לא נמצא כי קיים ספר ,מאמר או ציטוט כזה'; 'מבלי שהוגשה התייחסותו של המומחה לטענות המופנות כנגד חוות דעתו ,ומחדל זה פועל לחובתה של הנתבעת'","relation":"supports","source_id":"s1"}],"assertion":"Checking the sources itself, the court could not locate the cited Supreme Court ruling by number or party names, found no book, article or quotation matching the cited legal text, and found that the quoted statutory sections say something else; the defendant filed no response from the expert.","causal_attribution":"The court's own findings after its own check of the sources."},{"id":"c4","status":"documented","evidence":[{"locator":"'משנמצא כי לב חוות הדעת והנספחים המצורפים אליה נשענים על \"הזיות בינה מלאכותית\" מובהקות ועל עיוות מוחלט של לשון חוק שירותי תשלום'; 'הגשת חוות דעת המבוססת על הזיות של בינה מלאכותית מהווה פגם מהותי המצדיק את הוצאתה המידית מהתיק עוד לפני שלב ההוכחות'; 'ומורה על מחיקת חוות דעתו'","relation":"supports","source_id":"s1"}],"assertion":"The court held that the heart of the opinion and its annexes rest on clear AI hallucinations and a distortion of the statute, that an opinion resting on AI hallucinations is a substantive defect justifying its removal before the evidence stage, and struck it from the file.","causal_attribution":"The court attributes the defects to AI hallucinations; that attribution rests on the invented content, with no admission or named tool."},{"id":"c5","status":"documented","evidence":[{"locator":"'שעה שהתיקון של ההודעה לצד שלישי מבוסס על חוות דעת המומחה מטעם המודיעה ,חוות דעת שמצאתי אותה פגומה והוריתי על מחיקתה מהתיק'; 'דין הבקשה לתיקון ההודעה לצד שלישי להידחות'; 'תישא בהוצאות הבקשות לטובת הצד דים השלישיים בסך של'; '₪ 2,500לכל אחד מהם בנפרד'; 'ניתנה היום ,כ\"ז תשרי תשפ\"ז 08 ,אוקטובר'","relation":"supports","source_id":"s1"}],"assertion":"The court refused the defendant's request to amend the third-party notice, giving as one reason that the amendment rested on the struck opinion, and ordered her to pay costs of 2,500 shekels to each of the two banks within 30 days regardless of the outcome; the decision is dated 8 October 2026.","causal_attribution":"The court's orders. The refusal also rests on independent procedural grounds (no supporting affidavit, lateness, lack of good faith)."}],"effects":[{"label":"defendant's expert opinion struck from the file as resting on AI-hallucinated authorities","claim_id":"c4","direction":"negative"},{"label":"defendant's amendment refused and costs of 2,500 shekels ordered to each of two banks","claim_id":"c5","direction":"negative"}],"sources":[{"id":"s1","url":"https://www.damiencharlotin.com/documents/3278/Avaragl_v._Yaakov_Israel.pdf","kind":"court_record","access":"read","language":"he","translation_note":"Read in full in Hebrew by the research agent (an AI) on 2026-10-16 from the copy of the decision hosted on the AI Hallucination Cases database (HTTP 200, 10 pages, text extracted with pdftotext and bidirectional-control characters removed); the English renderings in this record are the research agent's own translation, with no human translator involved.","independence_group":"nof-hagalil-nazareth-magistrates-court-civil-file-38820-04-24-decision"}],"version":1,"ai_roles":["others_use"],"contexts":["justice","finance"],"unknowns":["Which AI tool, if any, the expert used; the decision names none and records no account from the expert.","Whether the defendant appeals the decision or pays the costs, and how the suit and the third-party notice are decided.","Whether the expert faces any professional consequence."],"geography":{"basis":"The opinion was filed in, and struck by, the Magistrates' Court in Nof HaGalil-Nazareth, Israel. Where the parties live is not stated and is not used.","court_countries":["IL"],"event_countries":["IL"],"affected_person_countries":[]},"publication":{"basis":"Published because the court's decision, read in full, finds that a filed expert opinion rests on AI-hallucinated authorities and distorted statute text, and on that basis strikes it, refuses the amendment built on it and orders the filing defendant to pay costs. The case is an expert witness's report excluded from evidence before trial.","reviewed_on":"2026-10-16"},"ai_involvement":{"basis":"The court's decision finds that the heart of the expert opinion and its annexes rest on clear 'AI hallucinations': a Supreme Court ruling the court could not locate, a cited book it could not find and statutory sections quoted with text the statute does not contain. The court read that output in the filed opinion and, because of it, struck the opinion, refused the amendment that rested on it and ordered the defendant to pay costs (informed_decision_about). The attribution to AI is the court's own finding after checking the sources; no admission, tool or account by the expert is recorded.","status":"supported"},"person_relations":["informed_decision_about"]},"name":"Israeli court strikes a defendant's expert report it found rested on AI-hallucinated case law and orders her to pay the banks' costs","summary":"On 8 October 2026 the Magistrates' Court in Nof HaGalil-Nazareth, Israel, struck from the file a banking expert's opinion that a defendant in a civil negligence suit had filed, finding that the heart of the opinion and its annexes rested on clear 'AI hallucinations': a Supreme Court ruling the court could not locate, a book it could not find and statutory sections quoted with text the statute does not contain. The court also refused the defendant's request to amend her third-party notice against two banks, partly because the amendment relied on the struck opinion, and ordered her to pay costs of 2,500 shekels to each bank. No AI tool is named, and the decision records no response from the expert.","incidentDate":"2026-10-08","incidentKind":"single_event","incidentDatePrecision":"day","exposurePattern":"unknown","reportedDate":"2026-10-08","aiSystem":"Unidentified generative AI tool; the court found that the expert opinion rests on AI hallucinations but names no tool, and the expert did not respond","aiProduct":"Unidentified AI tool","severity":"medium","verificationStatus":"credible","harmCategories":[],"harmOutcomes":["legal_harm","financial_loss"],"harmOutcomeSummary":"According to the court's decision, the defendant's expert evidence was struck and her amendment refused because the opinion rested on what the court found were AI-hallucinated authorities and distorted statute text, and she was ordered to pay 2,500 shekels in costs to each of two banks.","frameworkFacets":[],"causationStatus":"supported","participantUsersAffectedMin":0,"otherPeopleHarmedMin":1,"affectedCountStatus":"exact","affectedCountEvidence":"One person counted: the defendant who filed the opinion, whose evidence was struck, whose amendment was refused and who was ordered to pay costs. The expert is not counted because the decision orders nothing against him; the plaintiff and the banks are not harmed by the ruling.","victimAgeRange":"adult","jurisdiction":"IL","platformType":"other","outcomeStatus":"ongoing","primarySourceUrl":"https://www.damiencharlotin.com/documents/3278/Avaragl_v._Yaakov_Israel.pdf","primarySourceLabel":"Magistrates' Court, Nof HaGalil-Nazareth, civil file 38820-04-24, decision (8 October 2026)","firstPublishedAt":"2026-10-16T03:01:26.843634+00:00","updatedAt":"2026-10-16T03:01:26.843634+00:00","scopeVersion":"facts-v3","tags":["israel","expert-evidence","hallucinated-citations","court-decision","costs","banking"]},{"id":"2026-alabama-supreme-court-dismisses-family-trust-appeal-over-lawyer-ai-hallucinated-citations","caseFacts":{"claims":[{"id":"c1","status":"documented","evidence":[{"locator":"'filed briefs in this appeal that contain numerous invalid, inaccurate, and/or irrelevant citations to legal authorities'; 'They appear to be artificial-intelligence (\"AI\") \"hallucinations,\" i.e., fake authorities created by an AI system'; 'Most of the legal authorities in the briefs are misquoted or nonexistent'","relation":"supports","source_id":"s1"}],"assertion":"The appellants' lawyer filed briefs whose citations the court found numerous, invalid, inaccurate or irrelevant, most of them misquoted or nonexistent, and which the court said appear to be AI hallucinations.","causal_attribution":"The court's own findings."},{"id":"c2","status":"documented","evidence":[{"locator":"'first use of an AI research tool that summarized commentary not readily available through standard legal databases'","relation":"supports","source_id":"s1"}],"assertion":"In a reply-brief footnote quoted by the court, the lawyer attributed two misquotations to an AI research tool that summarised commentary.","causal_attribution":"The lawyer's statement as quoted in the opinion."},{"id":"c3","status":"documented","evidence":[{"locator":"'Hall admitted that many of the legal authorities in his briefs do not exist and that he improperly used AI to obtain those authorities'; 'Hall also informed the Court that he had self-reported his actions to the Alabama State Bar'","relation":"supports","source_id":"s1"}],"assertion":"At the 4 February 2026 show-cause hearing the lawyer admitted that many authorities in his briefs did not exist and that he had improperly used AI to obtain them, and said he had self-reported to the Alabama State Bar.","causal_attribution":"The court's record of the hearing."},{"id":"c4","status":"documented","evidence":[{"locator":"'Because those briefs are grossly deficient under the Alabama Rules of Appellate Procedure, we dismiss the appeal'; 'the dismissal of this appeal is imposed as a sanction because of the particularly egregious facts before us'","relation":"supports","source_id":"s1"}],"assertion":"The court dismissed the appeal because the briefs were grossly deficient, and said the dismissal was imposed as a sanction because of the particularly egregious facts.","causal_attribution":"Established by the opinion."},{"id":"c5","status":"documented","evidence":[{"locator":"'Hall is hereby ordered to pay attorney fees and costs'; 'in the amount of $17,200'; 'Hall is ordered to pay double costs'; 'We also refer Hall to the Alabama State Bar for potential discipline'","relation":"supports","source_id":"s1"}],"assertion":"The court ordered the lawyer to pay $17,200 in attorney fees and costs and double costs of the appeal, and referred him to the Alabama State Bar for potential discipline.","causal_attribution":"Established by the opinion."},{"id":"c6","status":"documented","evidence":[{"locator":"'SELLERS, Justice (concurring in part and dissenting in part)'; 'I do not agree that dismissal of the appeal is appropriate as a sanction for the conduct of a lawyer'; 'I would affirm the judgment of the Mobile Circuit'; 'MENDHEIM, Justice (concurring in part and dissenting in part)'; 'I concur in the dismissal of this appeal'; 'His representation on appeal was of no benefit to them'","relation":"supports","source_id":"s1"}],"assertion":"Justice Sellers, concurring in part and dissenting in part, disagreed that dismissal was an appropriate sanction for a lawyer's conduct but would have affirmed the trial court's judgment on the merits; Justice Mendheim, who concurred in the dismissal, wrote that the lawyer's representation on appeal was of no benefit to the clients.","causal_attribution":"Two separate opinions in the same record; neither is the court's holding."}],"effects":[{"label":"two appellants' appeal was dismissed as a sanction because their lawyer's briefs relied on AI-obtained authorities that were fake or misquoted","claim_id":"c4","direction":"negative"},{"label":"the lawyer was ordered to pay $17,200 and double costs, barred from filing alone in the court and referred to the state bar","claim_id":"c5","direction":"negative"}],"sources":[{"id":"s1","url":"https://publicportal-api.alappeals.gov/courts/68f021c4-6a44-4735-9a76-5360b2e8af13/cms/case/47683AFC-2F85-469D-8562-9DCA094BB680/docketentrydocuments/D95CDD15-7428-4CC9-8389-3CC27AC88089","kind":"court_record","access":"read","language":"en","translation_note":"Read in full in English by the research agent (an AI) on 2026-10-14 from CourtListener's archived copy of this court PDF (storage.courtlistener.com, HTTP 200, text extracted with pdftotext) because the court portal URL returned HTTP 403 to the agent; no translation was needed.","independence_group":"alabama-supreme-court-sc-2025-0106"}],"version":1,"ai_roles":["own_use","others_use"],"contexts":["justice","work","relationships"],"unknowns":["Which AI tool the lawyer used; the opinion names none.","Whether the dismissal changed the clients' substantive position; the trial court's summary judgment stands, the main opinion does not decide the merits, and one justice would have affirmed the judgment.","The outcome of the Alabama State Bar referral."],"geography":{"basis":"The appeal was decided by the Supreme Court of Alabama on appeal from the Mobile Circuit Court. The appellants' residence is not used.","court_countries":["US"],"event_countries":["US"],"affected_person_countries":[]},"publication":{"basis":"Published because the Supreme Court of Alabama's opinion establishes that it dismissed two appellants' appeal as a sanction after their lawyer filed briefs built on fabricated authorities that he admitted he had obtained by improperly using AI, and that it sanctioned the lawyer and referred him to the state bar. The opinion was read in full.","reviewed_on":"2026-10-14"},"ai_involvement":{"basis":"The court found the briefs' authorities appeared to be AI hallucinations, the lawyer admitted at the show-cause hearing that he had improperly used AI to obtain authorities that do not exist, and his reply-brief footnote quoted by the court says an AI research tool misattributed quotations. The AI output reached the court through the briefs, and the court dismissed the clients' appeal because those briefs rested on fabricated authorities (informed_decision_about for the clients); the lawyer received the fabricated output from the tool (communicated_with) and was sanctioned.","status":"supported"},"person_relations":["communicated_with","informed_decision_about"]},"name":"Alabama Supreme Court dismisses two siblings' family-trust appeal as a sanction after their lawyer admits using AI that produced fake citations","summary":"On 24 April 2026 the Supreme Court of Alabama dismissed an appeal by two siblings in a family dispute over living trusts because their lawyer, W. Perry Hall, had filed briefs in which most of the legal authorities were misquoted or did not exist. The court said they appeared to be AI hallucinations, and at a show-cause hearing in February 2026 Hall admitted that many authorities did not exist and that he had improperly used AI to obtain them. The court ordered Hall to pay the opposing party's fees and costs of $17,200 and double appeal costs, barred him from filing in the court without a co-signing attorney and referred him to the Alabama State Bar. It said the dismissal was imposed as a sanction because of the particularly egregious facts. One justice, concurring in part and dissenting in part, objected to dismissing the appeal as a sanction for the lawyer's conduct but would have affirmed the judgment against the clients on the merits.","incidentDate":"2026-04-24","incidentKind":"single_event","incidentDatePrecision":"day","exposurePattern":"unknown","reportedDate":"2026-04-24","aiSystem":"An AI research tool that, according to the lawyer's reply-brief footnote quoted by the court, summarised legal commentary and misattributed quotations; the lawyer admitted using AI to obtain authorities that do not exist. No product is named in the opinion","aiProduct":"Unidentified AI research tool","severity":"medium","verificationStatus":"credible","harmCategories":[],"harmOutcomes":["legal_harm","professional_harm","financial_loss"],"harmOutcomeSummary":"According to the Supreme Court of Alabama, the siblings' appeal was dismissed as a sanction because their lawyer's briefs relied on authorities that were misquoted or did not exist, which he admitted he had obtained by improperly using AI; the lawyer was ordered to pay $17,200 in fees and costs plus double appeal costs and was referred to the state bar.","frameworkFacets":[],"causationStatus":"established","participantUsersAffectedMin":1,"otherPeopleHarmedMin":2,"affectedCountStatus":"exact","affectedCountEvidence":"One AI user: the appellate lawyer, sanctioned and referred to the bar. Two other people: the two appellants whose appeal was dismissed. The appellee, whose fees were reimbursed, is not counted.","victimAgeRange":"adult","jurisdiction":"US-AL","platformType":"other","outcomeType":"regulatory_action","outcomeStatus":"resolved","primarySourceUrl":"https://publicportal-api.alappeals.gov/courts/68f021c4-6a44-4735-9a76-5360b2e8af13/cms/case/47683AFC-2F85-469D-8562-9DCA094BB680/docketentrydocuments/D95CDD15-7428-4CC9-8389-3CC27AC88089","primarySourceLabel":"Supreme Court of Alabama, opinion in SC-2025-0106 (released 24 April 2026)","firstPublishedAt":"2026-10-14T03:11:52.987847+00:00","updatedAt":"2026-10-14T03:11:52.987847+00:00","scopeVersion":"facts-v3","tags":["united-states","alabama","legal-profession","sanction","hallucinated-citations","appeal-dismissed"]},{"id":"2026-south-africa-sassa-elife-certification-portal-facial-verification-failures-reported-by-pensioners","caseFacts":{"claims":[{"id":"c1","status":"reported","evidence":[{"locator":"The eLife Certification was implemented on March 30, 2026, as a digital verification tool to curb fraud.","relation":"supports","source_id":"s1"},{"locator":"Beneficiaries who fail to complete the process risk having their grants suspended.","relation":"supports","source_id":"s1"},{"locator":"secure biometric verification through the electronic Know Your Client (eKYC) system","relation":"supports","source_id":"s2"},{"locator":"Beneficiaries who fail to complete life certification as directed may face payment delays or suspension of their grants.","relation":"supports","source_id":"s2"}],"assertion":"SASSA's eLife Certification is a self-service life certification on its online portal that uses biometric verification through its electronic Know Your Client (eKYC) system. IOL reports it was implemented on 30 March 2026. SASSA said beneficiaries who fail to complete life certification as directed may face payment delays or suspension of their grants.","causal_attribution":"The implementation date comes from IOL alone. SASSA statements read do not give a start date. The suspension consequence is SASSA's own stated rule and no suspension of either pensioner's grant is reported."},{"id":"c2","status":"reported","evidence":[{"locator":"SASSA would like to apologise to all our beneficiaries who could not access our self-service portal after they were notified to undertake the eLife Certification verification process by the Agency.","relation":"supports","source_id":"s2"},{"locator":"there were system glitches which led to delay and disruptions in completing eLife Certification, leading to long queues at SASSA offices.","relation":"supports","source_id":"s2"},{"locator":"the Agency can report that the challenge has been resolved.","relation":"supports","source_id":"s2"}],"assertion":"On 10 April 2026 SASSA apologised to beneficiaries who could not access its self-service portal after being notified to complete eLife Certification. It said system glitches linked to interfaces with other departments had caused delays and disruptions and long queues at its offices, and said the challenge had been resolved.","causal_attribution":"SASSA's own account of its portal. The statement does not mention facial recognition and attributes the glitches to interfaces with other departments."},{"id":"c3","status":"reported","evidence":[{"locator":"both pensioners, told IOL they had tried to complete the facial recognition option on the portal but to no avail.","relation":"supports","source_id":"s1"},{"locator":"We have been trying since Thursday, April 2, to do the selfie bit but it does not work after trying for 22 times","relation":"supports","source_id":"s1"}],"assertion":"A pensioner couple told IOL they had tried the facial recognition option on the eLife portal 22 times since 2 April 2026 without success. IOL published the account on 23 April 2026.","causal_attribution":"Single first-person account relayed by one outlet. The cause of the failures is not established. The department attributes facial verification problems in general to poor lighting, unstable connectivity or missing Home Affairs biometric records (see c6)."},{"id":"c4","status":"reported","evidence":[{"locator":"IOL has been inundated with emails and calls from beneficiaries nationwide claiming they were unable to complete the mandatory certification process.","relation":"supports","source_id":"s1"},{"locator":"beneficiaries cite consistent failures with facial recognition and one-time pins (OTPs).","relation":"supports","source_id":"s1"},{"locator":"The system just kept on loading and never went through to my profile. I have been struggling for three weeks","relation":"supports","source_id":"s1"},{"locator":"Then also indicated that the Department of Home Affairs is not available to verify my particulars","relation":"supports","source_id":"s1"}],"assertion":"IOL reported that beneficiaries nationwide contacted it to say they could not complete the certification and cited failures with facial recognition and one-time PINs. One pensioner said the site kept loading without reaching their profile for three weeks, and reported a one-time PIN rejection and a message that Home Affairs was not available to verify their particulars.","causal_attribution":"Unquantified accounts relayed by IOL. The pensioner who described the loading failure and the one-time PIN rejection did not describe a facial recognition failure."},{"id":"c5","status":"reported","evidence":[{"locator":"The Sassa portals are working as evidenced by the number of clients who have accessed the online services.","relation":"supports","source_id":"s1"},{"locator":"As of April 16, 2026, 13,644 (88%) of the 15,499 unique clients who accessed the online verification services via the client portal were successfully verified","relation":"supports","source_id":"s1"},{"locator":"However, Sassa admitted the system has been working intermittently.","relation":"supports","source_id":"s1"}],"assertion":"A SASSA spokesperson told IOL the portals are working and that, as of 16 April 2026, 13,644 (88%) of 15,499 unique clients who accessed the online verification services via the client portal were successfully verified. IOL reports SASSA admitted the system had been working intermittently.","causal_attribution":"SASSA's own figures and account, which were not independently verified. The figures count clients who accessed online verification and do not report how many failed the facial step."},{"id":"c6","status":"reported","evidence":[{"locator":"SASSA said most non-verification cases were driven by beneficiaries failing to respond to notifications, not completing life certification, or unsuccessful facial recognition attempts on online platforms.","relation":"supports","source_id":"s3"},{"locator":"In such cases, beneficiaries are redirected to fingerprint biometric verification at local offices.","relation":"supports","source_id":"s3"},{"locator":"The agency said it had recorded 7,779 complaints linked to its electronic facial biometric system","relation":"supports","source_id":"s3"},{"locator":"The department attributed facial verification issues to poor lighting, unstable connectivity, or missing biometric records at the Department of Home Affairs.","relation":"supports","source_id":"s3"},{"locator":"The agency said it had recorded 7 779 complaints linked to its electronic facial biometric system.","relation":"supports","source_id":"s4"}],"assertion":"IOL's 24 May 2026 report on a parliamentary reply says SASSA said most non-verification cases were driven by beneficiaries who did not respond to notifications, did not complete life certification, or had unsuccessful facial recognition attempts on online platforms, and that such beneficiaries are redirected to fingerprint verification at local offices. IOL says SASSA had recorded 7,779 complaints linked to its electronic facial biometric system and that the department attributed facial verification issues to poor lighting, unstable connectivity or missing biometric records at the Department of Home Affairs.","causal_attribution":"SASSA's account relayed by two outlets that share one reporter and one reply, so they are one chain. The reports do not date the complaints or say whether they concern eLife Certification or earlier online facial verification, and do not say how many were repeat complaints."},{"id":"c7","status":"reported","evidence":[{"locator":"with 67,868 grants suspended in the third quarter alone","relation":"supports","source_id":"s3"},{"locator":"a grant is suspended 2 months after a beneficiary was notified to conduct a review and has not yet done so","relation":"supports","source_id":"s3"},{"locator":"around 70 000 grants have been suspended due to beneficiaries failing to come forward for review","relation":"supports","source_id":"s5"}],"assertion":"The parliamentary reply reported 67,868 grants suspended in the third quarter (the reports do not identify the period) under a rule that a grant is suspended two months after a beneficiary was notified to conduct a review and has not yet done so. A Parliament committee statement of 5 February 2026 reported around 70,000 grants suspended for beneficiaries failing to come forward for review.","causal_attribution":"The suspension figures are context. No inspected report says how many suspensions followed a facial verification failure, and the committee statement predates the eLife implementation date reported by IOL."}],"effects":[{"label":"Pensioners reported repeated failures of the facial recognition step in a mandatory online life certification, with a stated risk of payment delay or grant suspension if it is not completed","claim_id":"c3","direction":"negative"},{"label":"SASSA reported delays, disruptions and long queues at its offices after beneficiaries could not use the self-service certification portal, which SASSA attributed to interfaces with other departments (its statement does not mention facial recognition)","claim_id":"c2","direction":"negative"}],"sources":[{"id":"s1","url":"https://iol.co.za/news/south-africa/2026-04-23-sassa-elife-certification-portal-beneficiaries-report-ongoing-glitches-despite-agency-denials/","kind":"news_report","access":"read","language":"en","translation_note":"","independence_group":"iol-elife-glitches-report"},{"id":"s2","url":"https://www.gov.za/news/media-statements/sassa-self-service-system-restored-following-earlier-challenges-10-apr-2026","kind":"official_statement","access":"read","language":"en","translation_note":"","independence_group":"sassa-10-apr-2026-statement"},{"id":"s3","url":"https://iol.co.za/news/south-africa/2026-05-24-sassas-biometric-rollout-leaves-thousands-without-grants-amid-fraud-crackdown/","kind":"news_report","access":"read","language":"en","translation_note":"","independence_group":"parliamentary-reply-iol-report"},{"id":"s4","url":"https://dailyvoice.co.za/news/2026-05-25-sassas-face-palm-facial-recognition-tech-linked-to-the-suspension-of-68-000-grants/","kind":"news_report","access":"read","language":"en","translation_note":"","independence_group":"parliamentary-reply-iol-report"},{"id":"s5","url":"https://www.parliament.gov.za/index.php/press-releases/media-statement-committee-notes-grant-reviews-are-necessary-protect-poor-and-public-funds","kind":"official_statement","access":"read","language":"en","translation_note":"","independence_group":"parliament-committee-5-feb-2026-statement"}],"version":1,"ai_roles":["institutional_use"],"contexts":["public_services","accessibility"],"unknowns":["The reports do not say how many of the 67,868 grant suspensions (third quarter, period not identified) followed unsuccessful facial recognition. The suspensions are governed by a review non-response rule, and a committee statement dated 5 February 2026 already reported around 70,000 suspensions before the eLife implementation date reported by IOL.","The 30 March 2026 implementation date comes from IOL only. The SASSA statements read do not give a start date.","SASSA's statement refers to facial recognition on online platforms in general. Neither IOL 24 May 2026 nor Daily Voice 25 May 2026 mentions eLife Certification, and IOL places the reply within a biometric verification rollout dated from September 2025 (compulsory biometric enrolment for new applicants, verified at local offices). Whether the 7,779 complaints and the redirections to fingerprint checks concern eLife Certification at all is not stated. Facial photo verification through the same eKYC system for Social Relief of Distress grant applicants was reported earlier (Biometric Update, August 2024, and Corruption Watch, January 2025) and is a separate earlier deployment that this case does not cover.","Whether the pensioner couple later completed certification, or whether any grant was delayed or suspended, is not reported.","The cause of the couple's failed attempts is not established (lighting, connectivity, missing Home Affairs records, or the facial matching itself).","SASSA said on 10 April 2026 that the problem was resolved, and IOL reported failures continuing on 23 April 2026. The 88% success figure is SASSA's and was not checked.","The pensioner accounts come from one outlet (IOL). A Joburg ETC article of the same date relays it and adds nothing independent.","IOL page dates were taken from the URLs (23 April and 24 May 2026) because the page bodies show only relative ages."],"geography":{"basis":"IOL reports social grant recipients across South Africa struggling with the portal, and the SASSA statement and parliamentary reply concern the South African Social Security Agency's beneficiaries.","court_countries":[],"event_countries":["ZA"],"affected_person_countries":["ZA"]},"publication":{"basis":"IOL (23 April and 24 May 2026), SASSA's 10 April 2026 statement on gov.za, Daily Voice and a Parliament committee statement were read in full. SASSA's and IOL's accounts are attributed and left at reported, and the pensioners' failures come from one outlet. The pensioners are not named. No inspected report attributes any grant suspension to facial verification failures.","reviewed_on":"2026-09-29"},"ai_involvement":{"basis":"The sources describe a facial recognition step in SASSA's eLife Certification portal, which uses biometric verification through the eKYC system and integration with Home Affairs systems, and IOL's 24 May 2026 report of a parliamentary reply refers to SASSA's electronic facial biometric system without saying whether it is the eLife portal. The vendor and model are not identified. The department attributes facial verification problems to poor lighting, unstable connectivity or missing Home Affairs biometric records, and a SASSA spokesperson says the portals work with intermittent downtime, so the cause of any individual failure is not established.","status":"reported"},"person_relations":["made_decision_about"]},"name":"South Africa: pensioners report repeated failures of the facial recognition step in SASSA's eLife certification portal, and SASSA reports disruptions and office queues","summary":"The South African Social Security Agency (SASSA) introduced an online eLife Certification (life certification) for grant beneficiaries that uses biometric verification through its electronic Know Your Client (eKYC) system. IOL reports the certification was implemented on 30 March 2026. SASSA says beneficiaries who do not complete life certification as directed may face payment delays or suspension. On 10 April 2026 SASSA apologised to beneficiaries who could not access the portal, said system glitches linked to interfaces with other departments had caused delays, disruptions and long queues at its offices, and said the problem was resolved. On 23 April 2026 IOL reported that a pensioner couple said they had tried the facial recognition option 22 times since 2 April without success, and that beneficiaries nationwide told IOL they could not complete the certification, citing failures with facial recognition and one-time PINs, with one pensioner also reporting a message that Home Affairs was not available to verify their particulars. A SASSA spokesperson said the portals work and that 13,644 (88%) of the 15,499 unique clients who accessed the online verification services by 16 April were verified, and IOL reports SASSA admitted the system has been working intermittently. In a May 2026 report on a parliamentary reply, IOL said SASSA stated that unsuccessful facial recognition attempts on online platforms were among the causes of non-verification (those beneficiaries are redirected to fingerprint checks at local offices) and that it had recorded 7,779 complaints linked to its electronic facial biometric system. The department attributed facial verification issues to poor lighting, unstable connectivity or missing biometric records at Home Affairs. Neither May report mentions the eLife portal, and IOL places the figures within a biometric verification rollout that it dates from September 2025. The reports do not say how many grants were suspended because of facial verification failures.","incidentDate":"2026-03-30","incidentKind":"bounded_series","incidentDatePrecision":"day","exposurePattern":"repeated_interactions","reportedDate":"2026-04-23","aiSystem":"Facial recognition step in SASSA's eLife Certification portal (biometric verification through the eKYC system, integrated with Home Affairs systems). Vendor and model not identified in the sources.","aiProduct":"SASSA eLife facial verification","aiCompany":"South African Social Security Agency (SASSA), deployer","severity":"low","verificationStatus":"unverified","harmCategories":[],"harmOutcomes":["other_material_harm"],"harmOutcomeSummary":"SASSA said glitches caused delays, disruptions and long queues at its offices, and a pensioner couple told IOL they had tried the facial recognition step 22 times since 2 April without success. SASSA warned that beneficiaries who do not complete life certification as directed may face payment delays or suspension. No inspected report says that either pensioner's grant was delayed or suspended.","frameworkFacets":[],"causationStatus":"alleged","participantUsersAffectedMin":0,"otherPeopleHarmedMin":2,"affectedCountStatus":"partial","affectedCountEvidence":"IOL reports one pensioner couple (two people) who said the facial recognition step failed 22 times. IOL says it was inundated with emails and calls from beneficiaries nationwide and SASSA recorded 7,779 complaints, but complaints are not people and the number of beneficiaries who failed facial verification is not reported, so no larger count is recorded. The 67,868 grant suspensions are not counted because no inspected report attributes them to facial verification.","victimAgeRange":"adult","platformType":"other","primarySourceUrl":"https://iol.co.za/news/south-africa/2026-04-23-sassa-elife-certification-portal-beneficiaries-report-ongoing-glitches-despite-agency-denials/","primarySourceLabel":"IOL (23 Apr 2026)","firstPublishedAt":"2026-09-29T21:16:13.146866+00:00","updatedAt":"2026-09-30T01:17:54.03839+00:00","scopeVersion":"facts-v3","tags":["historical-2026"]}]}