What A Survey Of Korean Judges Says About AI And Court Precedents
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TL;DR

South Korea’s National Court Administration published a survey on November 2, 2026, in which judges reported encountering nonexistent or distorted legal citations in court filings. The findings describe judges’ experiences, not the share of filings containing false citations; respondents called for measures including fines, citation checks and disclosure of AI use.

South Korea’s National Court Administration published its first survey on false legal citations in court filings on November 2, reporting that about 80% of responding civil, family and administrative judges had encountered nonexistent or distorted precedents. The survey reflects judges’ reported experiences, not a measured rate of false citations across all filings, and it has prompted calls for rules on verification, AI disclosure and penalties.

360 judges from courts at all levels answered the survey between October 6 and 16, according to the court administration, an administrative arm of the Supreme Court. Among judges who reported encountering false citations, 196 identified nonexistent precedents and 159 identified real precedents cited with false content. Respondents could select more than one type.

The headline figure needs its denominator. The release says about eight in ten judges handling civil, family and administrative cases had experienced false or nonexistent precedents. Kyunghyang Shinmun reported that 243 of all 360 respondents—67.5%, or about two in three—said they had encountered fake citations. The release did not itself print that all-respondent percentage.

Judges also identified who had submitted the material: 164 respondents (69.5%) named litigants acting on their own, while 136 (57.6%) named lawyers representing parties or serving as defense counsel. The survey’s listed examples included fabricated judgments formatted like Supreme Court decisions, real rulings misrepresented in filings and text from AI conversations or litigation-strategy notes pasted into documents.

At a glance
reportWhen: Survey conducted October 6–16, 2026; re…
The developmentSouth Korea’s National Court Administration released its first survey of judges’ experiences with false or distorted citations, including citations linked to AI-generated material.
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Video: Fake AI Precedents in Korean Courts: What a Survey of 360 Judges Found. Narration: AI voice clone of Thorsten Meyer; images AI-generated.

Pressure for Citation Safeguards

The results put attention on the reliability of legal submissions and the work required to check them. The court administration said false citations create an unnecessary verification burden for opposing parties and can hinder the speedy progress of trials. If a filing attributes invented reasoning to a real court decision, judges and other parties may need to spend time locating and checking a ruling before addressing the legal argument.

The findings also point beyond self-represented litigants. Judges said they had encountered false material in documents filed by licensed lawyers as well as parties. That makes the issue relevant to legal professionals, court users and policymakers considering how to handle AI-assisted drafting. The survey does not establish that AI caused every false citation, nor does it estimate how frequently such citations appear in the wider body of court filings.

Among respondents to the relevant question, 91.7% called for an institutional response. The most popular options were a legal basis for fines (61.4%), a duty to verify citations (61.1%) and a duty to disclose AI use (60.6%). These are measures judges favored in the survey, not rules already in force.

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How the Survey Defines the Problem

The court administration’s four-page release, titled “Results of the survey on citations of AI-generated false precedents and similar material,” says the questionnaire was prompted by concerns that AI hallucinations can produce false or nonexistent legal authorities. Its stated focus includes what judges have encountered, rather than an audit of court documents or an estimate of prevalence across cases.

The percentages for specific kinds of false citations use the respondents to that question as their base. The figures of 196 (80.7%) and 159 (65.4%) correspond to the 243 judges reported as having encountered fake citations, rather than all 360 survey participants. That distinction explains why the 80% figure should not be presented as the share of every judge surveyed, or as the share of filings containing false citations.

The administration also reported several forms of suspect material: nonexistent cases given official-looking formats, Supreme Court case numbers attached to reasoning that could not be located, real holdings altered or presented contrary to their meaning, and unedited exchanges with AI tools. A translation discrepancy underlines the need to check source wording: an English news account described 164 judges as having cited false precedents themselves, while the Korean release says those judges identified the litigants themselves as a source.

What the Survey Cannot Establish

The administration did not say how many judges were invited, and the source material does not provide the full question wording or enough information to assess how respondents were selected. The results therefore show the answers of 360 participants, but do not establish whether those responses represent all South Korean judges.

The survey also does not count the number or proportion of filings containing false citations, identify how many were created with AI, or determine whether each reported citation was an intentional fabrication, an error or an unverified AI output. The administration’s examples describe forms of problematic material; the published results do not provide case-by-case details or an independent audit.

It is also unclear when or in what form proposed procedural changes will be submitted, whether lawmakers will adopt them, or what penalties and disclosure duties any final rules would contain. The reported support figures represent judges’ survey responses, not enacted policy.

Proposed Changes to Procedure Acts

The National Court Administration plans to propose changes to South Korea’s Civil and Criminal Procedure Acts that would provide a legal basis for fines, according to the source report. The survey also records support for citation-verification duties and disclosure of AI use, but the reported plan does not establish that all three measures will be included in a bill.

The next developments to watch are whether the administration formally submits legislation, what language it proposes, and how lawmakers and legal professionals respond. Until then, the survey remains evidence of judges’ reported experiences and preferences—not a new legal requirement or a quantified measure of false citations across the courts.

Key Questions

What did the survey find?

Among responding civil, family and administrative judges, about 80% reported encountering false or nonexistent precedents. The survey included 360 judges from courts at all levels.

Does the 80% figure mean that 80% of court filings contain fake citations?

No. It describes judges’ reported experience, not the proportion of filings with false citations. The release does not provide a filing-by-filing audit or estimate.

What kinds of false citations did judges report?

They reported nonexistent precedents, real rulings cited with false content, and other false or nonexistent legal sources. The release also described fabricated judgments and unedited AI conversation text appearing in filings.

What rules did judges support?

Among respondents to the relevant question, 91.7% favored an institutional response. Popular options included a legal basis for fines, a duty to verify citations and a duty to disclose AI use.

Are new penalties or AI disclosure rules already in effect?

No such rules are established by this survey. The source report says the court administration plans to propose changes to the Civil and Criminal Procedure Acts, but the timing and final contents remain unclear.

Source: ThorstenMeyerAI.com

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