SlopJudges
Tracking AI slop in real U.S. Supreme Court, Courts of Appeals, and federal District Court opinions. Every opinion is pulled from the public CourtListener record and scored by our own blend of an LLM judge and deterministic heuristics — no third-party detector.
- Opinions analyzed
- 1,188
- Slop opinions
- 33
- Courts tracked
- 26
- Last updated
- Jul 28, 2026, 8:01 AM
Cumulative AI-slop opinions over time
Supreme Court vs. the regional Courts of Appeals vs. the specialized D.C. & Federal Circuits vs. the federal District Courts.
Justices by AI-slop opinions
Supreme Court justices ranked by opinions flagged as slop; ties break on average AI score.
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Courts by AI-slop opinions
All tracked courts ranked by opinions flagged as slop; ties break on average AI score.
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- 8AI 472nd Cir.3 avg AI · 84 opinions↳ Petersen Energ�a; Eton Park v. Argentie Argentine Republic, YPF S.A.2
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- 10AI 229th Cir.4 avg AI · 35 opinions↳ Theis v. Intermountain Education Service District - Board of Directors1
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- 26AI 0N.D. Ill.0 avg AI · 0 opinions0
Most AI-like opinions
The highest-scoring opinions in the dataset. On the real federal record almost none cross the flag line (18); these are simply the current leaders, shown with the signals that moved their score.
- United Financial Casualty Co. v. Greg BallAI 50Court of Appeals for the Fourth Circuit · Mar 30, 2023
The text consists solely of repeated document metadata with no substantive legal content, indicating it is not a genuine judicial opinion.
repeated document metadatalack of substantive contentLLM 100Heuristic 0Confidence 20% - Petersen Energ�a; Eton Park v. Argentie Argentine Republic, YPF S.A.AI 47Court of Appeals for the Second Circuit · Mar 27, 2026
The text contains malformed citations and potentially fabricated case names, indicating a high likelihood of AI assistance.
malformed reporter citationsfabricated case namesLLM 85Heuristic 12Confidence 18% - Perales v. Office of the ClerkAI 27District Court, District of Columbia · Jul 23, 2026 · Judge Jia M. Cobb
The excerpt is a very short, standard dismissal order with no chatbot phrasing, buzzword clusters, citation issues, or structural AI tells, though its brevity limits confidence.
Unusually uniform sentence rhythmLLM 2Heuristic 32Confidence 7% - United States v. Calvin CarterAI 26Court of Appeals for the Eighth Circuit · Jul 7, 2026
The excerpt reads like a conventional concise appellate per curiam opinion with precise Guidelines and case citations, fact-specific reasoning, and no chatbot boilerplate, buzzword clusters, vague legal generalities, or malformed citation patterns suggestive of LLM drafting.
Unusually uniform sentence rhythmChatbot-style holding recapLLM 5Heuristic 32Confidence 93% - Covington Specialty Insurance Company v. Omega Restaurant & Bar, LLCAI 24Court of Appeals for the Fourth Circuit · Jul 20, 2026
The opinion largely reads like a genuine Fourth Circuit disposition with concrete record details, varied legal citations, and no chatbot boilerplate or buzzword clusters, though the anomalous citation year and section-numbering error create modest suspicion.
Unusually uniform sentence rhythmone impossible/malformed Supreme Court citation: 598 U.S. 288 paired with year 2018section numbering jumps from III to VIotherwise precise case-specific facts and conventional appellate styleLLM 22Heuristic 24Confidence 82% - United States v. Isaac Loggins, Jr.AI 24Court of Appeals for the Eighth Circuit · Jul 10, 2026
The prose largely resembles a genuine Eighth Circuit opinion, but multiple concrete citation and internal-fact inconsistencies of the kind LLMs often hallucinate raise the likelihood substantially above baseline.
fabricated or implausible Supreme Court citation to Rutherford v. United States, 146 S. Ct. 1320 (2026)wrong statutory citation to 28 U.S.C. § 944(a) for Sentencing Commission authorityinternal arithmetic inconsistency: 353-month sentence described as including 420 months of mandatory § 924(c) timecaption/venue inconsistency: appeals captioned from the Northern District of Iowa while footnote identifies one case from the Southern District of Iowaotherwise realistic judicial formatting and citation-heavy style with few chatbot buzzwordsLLM 58Heuristic 2Confidence 78% - Rana v. BlancheAI 23Court of Appeals for the First Circuit · Jul 23, 2026
The excerpt reads like a conventional appellate immigration opinion with precise citations, issue-specific legal analysis, and varied sentence structure, without chatbot framing, buzzword clusters, mechanical listicle scaffolding, or apparent citation hallucinations.
Sparse citation density for opinion lengthLLM 6Heuristic 27Confidence 86% - Estate of Ismael Galvan Solorio v. Islamic Republic of IranAI 23District Court, District of Columbia · Jul 21, 2026 · Magistrate Judge G. Michael Harvey
The prose mostly resembles a genuine D.D.C. FSIA service opinion, but the repeated impossible dates and suspect future citations are strong hallucination-like signals that raise the likelihood of substantial AI assistance.
multiple internal chronological impossibilitiesfuture or implausible case citationstypographical/legal-definition errors such as 'denies' for 'defines' and 'EECF'malformed or suspect pinpoint citationotherwise formal citation-heavy judicial style with few chatbot/buzzword tellsLLM 58Heuristic 0Confidence 78% - Theis v. Intermountain Education Service District - Board of DirectorsAI 22Court of Appeals for the Ninth Circuit · Jul 21, 2026
Although the text largely imitates authentic Ninth Circuit opinion style with plausible formatting and many precise citations, the notable citation-reference error and possible fabricated or malformed citations are strong AI-like tells alongside a somewhat mechanically structured analysis.
citation inconsistency: “Id. at 967” follows a Dodge citation at page 778 but appears to refer to Johnsonpossible malformed citation: “3d. Cir.”future/possibly fabricated citations and docket detailstidy first/second analytical structuresome generic legal synthesisLLM 55Heuristic 1Confidence 77% - Iron Workers STL Pension Fund v. Barnhart Crane & Rigging Co.AI 22Court of Appeals for the Eighth Circuit · Jul 13, 2026
The excerpt reads like a conventional Eighth Circuit opinion with precise procedural detail, plausible citations, varied sentence structure, and no chatbot framing, buzzword clusters, listicle scaffolding, or apparent citation hallucinations.
Sparse citation density for opinion lengthLLM 6Heuristic 26Confidence 86% - Mark Lee v. West Virginia University Medical CorporationAI 22Court of Appeals for the Fourth Circuit · Jul 10, 2026
The excerpt reads like a conventional appellate opinion with precise record and case citations, fact-specific procedural narration, varied sentence structure, and no chatbot boilerplate, buzzword clustering, listicle scaffolding, or citation irregularities suggestive of LLM drafting.
Sparse citation density for opinion lengthLLM 3Heuristic 27Confidence 88% - American Academy of Pediatrics v. James UthmeierAI 22Court of Appeals for the Seventh Circuit · Jul 8, 2026 · Leedissents
The text reads like a routine appellate order and judicial dissent with precise, plausible citations, varied sentence structure, and no chatbot boilerplate, buzzword clustering, mechanical list structure, or vague uncited legal generalities.
AI-favored vocabulary (foster)Chatbot-style hedging/boilerplateLLM 5Heuristic 26Confidence 88% - American Academy of Pediatrics v. James UthmeierAI 22Court of Appeals for the Seventh Circuit · Jul 8, 2026
The excerpt reads like a conventional appellate order and dissent with specific citations and natural judicial cadence, with only a minor formatting/case-number inconsistency and no strong generative-AI tells.
AI-favored vocabulary (foster)Chatbot-style hedging/boilerplateprecise legal citationsvaried judicial sentence rhythmno chatbot framing or essay-style scaffoldingLLM 8Heuristic 26Confidence 82% - United States v. Justin SchneiderAI 22Court of Appeals for the Eighth Circuit · Jun 25, 2026
Heuristic-only score (LLM judge unavailable).
Chatbot-style hedging/boilerplateLLM 0Heuristic 22Confidence 30% - Carrozza v. CVS Pharmacy, Inc.AI 22Court of Appeals for the First Circuit · Mar 31, 2021
The text exhibits characteristics of a genuine judicial opinion with precise citations, varied sentence structure, and no obvious AI-generated phrases or patterns.
AI-favored vocabulary (foster)LLM 10Heuristic 33Confidence 90% - Forest View Rehabilitation and Nursing Center, LLC v. United States Small Business AdministrationAI 20Court of Appeals for the Seventh Circuit · Jul 20, 2026 · Easterbrook
The text reads like a genuine appellate opinion with precise statutory and case citations, varied sentence rhythm, concrete factual/legal engagement, and no chatbot framing, buzzword clustering, mechanical structure, or citation anomalies suggestive of LLM drafting.
Unusually uniform sentence rhythmLLM 5Heuristic 24Confidence 96% - Oak Lawn Respiratory and Rehabilitation Center v. United States Small Business AdministrationAI 20Court of Appeals for the Seventh Circuit · Jul 20, 2026 · Easterbrook
The excerpt reads like a conventional appellate opinion with precise legal citations, varied sentence structure, case-specific factual engagement, and no chatbot framing, buzzword clusters, mechanical list structure, or citation anomalies suggestive of substantial LLM drafting.
Unusually uniform sentence rhythmLLM 4Heuristic 24Confidence 93% - Parkshore Estates Nursing and Rehab Center v. United States Small Business AdministrationAI 20Court of Appeals for the Seventh Circuit · Jul 20, 2026 · Easterbrook
The text reads like a genuine appellate opinion with precise statutory and case citations, varied sentence rhythm, concrete legal analysis, and no chatbot framing, buzzword clusters, mechanical list structure, or citation irregularities suggestive of LLM drafting.
Unusually uniform sentence rhythmLLM 3Heuristic 24Confidence 94% - Forest View Rehabilitation and Nursing Center, LLC v. United States Small Business AdministrationAI 20Court of Appeals for the Seventh Circuit · Jul 14, 2026 · Easterbrook
The text has precise legal citations, case-specific factual and statutory analysis, varied sentence rhythm, and a distinctive judicial voice without chatbot boilerplate, listicle structure, buzzword clusters, or citation anomalies.
Unusually uniform sentence rhythmLLM 3Heuristic 24Confidence 96% - Oak Lawn Respiratory and Rehabilitation Center v. United States Small Business AdministrationAI 20Court of Appeals for the Seventh Circuit · Jul 14, 2026 · Easterbrook
The text has precise and plausible legal citations, highly varied sentence rhythm, concrete statutory and factual analysis, and a distinctive judicial voice with no chatbot framing, listicle structure, buzzword clustering, or citation hallucination tells.
Unusually uniform sentence rhythmLLM 3Heuristic 24Confidence 96% - Parkshore Estates Nursing and Rehab Center v. United States Small Business AdministrationAI 20Court of Appeals for the Seventh Circuit · Jul 14, 2026 · Easterbrook
The text reads like a genuine appellate opinion with precise statutory and case citations, fact-specific reasoning, varied sentence rhythm, and no chatbot framing, buzzword clusters, mechanical list structure, or citation anomalies.
Unusually uniform sentence rhythmLLM 3Heuristic 24Confidence 95% - Watson v. Republican National CommitteeAI 20Supreme Court of the United States · Jun 29, 2026 · Barrett
Heuristic-only score (LLM judge unavailable).
AI-favored vocabulary (foster)Heavy em-dash usageCitations to unrecognized reportersLLM 0Heuristic 20Confidence 30% - Graves-Buckingham v. MayorkasAI 19District Court, District of Columbia · Jul 23, 2026 · Judge Jia M. Cobb
The opinion otherwise reads like a human-drafted federal district court memorandum with detailed record citations and varied legal prose, but the facially implausible caption substitution is a notable anomaly that modestly raises concern.
Sparse citation density for opinion lengthimplausible caption naming Markwayne Mullin as DHS Secretaryotherwise precise docket citations and case citationsvaried sentence rhythm with fact-specific legal analysisno chatbot framing or LLM buzzword clustersLLM 22Heuristic 17Confidence 78% - Savannah Byers v. Finishing Systems IncAI 19Court of Appeals for the Third Circuit · Jul 20, 2026
The text reads like a genuine, tightly edited appellate opinion with precise citations, varied sentence rhythm, judge-specific concise style, and no chatbot boilerplate, buzzword clustering, malformed citations, or vague essay-like filler.
Sparse citation density for opinion lengthLLM 4Heuristic 23Confidence 93% - Keith Carnes v. Robert BlehmAI 19Court of Appeals for the Eighth Circuit · Jul 7, 2026
The excerpt reads like a conventional Eighth Circuit opinion with precise procedural history, record-specific factual detail, standard legal framing, varied sentence structure, and properly formed citations, with no chatbot boilerplate, buzzword clustering, listicle scaffolding, or citation irregularities apparent.
Unusually uniform sentence rhythmLLM 3Heuristic 23Confidence 95%