SlopJudges

The text consists solely of repeated document metadata with no substantive legal content, indicating it is not a genuine judicial opinion.

The text contains malformed citations and potentially fabricated case names, indicating a high likelihood of AI assistance.

Although much of the prose resembles authentic appellate writing, the co-occurrence of serious citation anomalies, likely fabricated future citations, and some polished essay-style structuring makes substantial AI generation likely.

The text otherwise reads like a conventional Eighth Circuit opinion with concrete facts, standard formatting, precise statutory/rule citations, and no chatbot-style framing or buzzword clusters, but the malformed Campbell citation is a notable isolated AI-like warning sign.

The excerpt reads like a conventional appellate opinion with precise and plausible citations, normal judicial structure, varied sentence rhythm, and no chatbot boilerplate, buzzword clustering, listicle scaffolding, or citation anomalies apparent from the text.

Although the prose and structure otherwise resemble a genuine D.D.C. memorandum opinion, the assertion that Markwayne Mullin is the current Secretary of Homeland Security and the related substitution history are blatant factual/citation-style anomalies that strongly suggest synthetic or substantially AI-assisted drafting.

Heuristic-only score (LLM judge unavailable).

Heuristic-only score (LLM judge unavailable).

The prose largely resembles a genuine appellate opinion, but multiple citation anomalies—especially the impossible-looking pin cites—are strong machine-generation tells that raise the likelihood of substantial AI assistance.

The prose largely reads like a conventional judicial opinion, but the highly implausible official-capacity defendant substitution and possibly fabricated future case citations are strong hallucination-style signals that substantially raise the likelihood of AI assistance.

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.

This brief procedural order uses standard appellate formatting and precise docket details with no chatbot phrasing, buzzword filler, mechanical essay structure, or citation anomalies.

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.

The prose mostly resembles a genuine appellate opinion with varied rhythm and many precise citations, but the internally implausible and erroneous citations are strong enough hallucination-like signals to put it in a moderate-risk range.

The excerpt reads like a conventional appellate opinion with precise, plausible citations, case-specific factual detail, varied judicial sentence structure, and no chatbot framing, buzzword clusters, malformed citations, or essay-like AI scaffolding.

The excerpt is largely plausible law-clerk style, but the cluster of suspect citations, citation-format anomalies, mechanical structure, and small procedural/formatting inconsistencies suggests a meaningful likelihood of substantial generative-AI assistance.

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.

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.

The text reads like a conventional appellate opinion with precise citations, case-specific factual detail, varied sentence rhythm, and no chatbot boilerplate, buzzword clustering, listicle scaffolding, or apparent citation hallucinations.

The text reads like a conventional appellate tax opinion with precise legal citations, standard judicial structure, and varied legal reasoning, without chatbot framing, buzzword clustering, mechanical listicle prose, or obvious hallucinated authorities.

The excerpt reads like a conventional Seventh Circuit opinion with detailed factual development, precise statutory and case citations, and varied judicial prose, with only a single apparent citation typo that does not by itself suggest substantial generative-AI assistance.

The excerpt reads like a conventional appellate opinion with detailed procedural history, precise citations, varied sentence rhythm, and no chatbot boilerplate, buzzword clustering, mechanical list structure, or apparent citation hallucinations.

The opinion reads like a conventional appellate disposition with precise record-based factual narration, accurate-looking legal citation patterns, varied sentence structure, and no chatbot framing, buzzword clusters, mechanical listicle scaffolding, or citation anomalies.

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.

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.