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Bias Analysis of Judge Miller’s Orders

20 linked analyses · March 2021–August 2026

Original AI assessments

Explore 20 original AI assessments covering 19 distinct orders by Minnesota Judge Kevin M. Miller in Stevenson v. Stevenson. The orders date from March 2021 through August 2026. The scores preserve the assessments published with the linked analyses, not court or disciplinary findings. For biography, appellate outcomes, and cross-case context, see the Judge Kevin M. Miller public-record profile.

The December 18, 2024 order (Doc. 549) decided both recusal/vacatur and Rule 11 sanctions; those decisions have separate analyses. The percentage, mean, and severity counts summarize the 20 original assessment scores.

95%defendant-favoring scores19 of 20 assessments
-5.8average scoreon the −10 to +10 scale
4high-bias scoresscores of −8 or lower

Chronological signal

Bias score over time

Vector SVG
Horizontal axis: Order date (earlier → later)

20 of 20 analyses shown

HighMediumLowNear-neutral
Date & record
Favoring defendantsFavoring plaintiffs
Order or hearing
How to read this analysis

Direction: Negative scores reflect the original analysis’s assessment of bias favoring Defendants; positive scores reflect its assessment of bias favoring Plaintiffs. Zero is the center of the scale.

Severity: The colored cells trace the distance from near-neutral to each analysis score. Every date and order title links to its individual supporting analysis.

These are the original AI assessments published with the linked analyses. Later reporting explains how further research and examination of the record developed the analysis.

About these historical analyses. Early AI analyses were instrumental in the formation of Justice-Denied. They expressed concerns that closely matched what Marie and I experienced in Judge Miller’s courtroom and helped me examine the rulings and court records more systematically.

We preserve the published analyses as part of that history. Our later reporting explains how further research, additional records, and a deeper understanding of the law developed the analysis.

Later reporting: Revisiting Our Early AI Analyses: The Record, the Law, and Our Experience; Motion to Amend Complaint; When Judge Miller Left Disputed Facts to a Jury.

Historical ChatGPT 4o summary. The summary below predates the August 14, 2026 order and is preserved in its published wording. The Explorer above includes the later assessment of that order and now contains 20 assessments covering 19 distinct orders.

ChatGPT (AI) Analysis

The AI-generated analyses of Judge Kevin Miller’s orders in this case reveal a striking and consistent pattern of pro-Defendant bias. All but one of the scored rulings fall on the Defendant-favoring side of the scale, with scores ranging from -1 to -8; one ruling was scored slightly in Plaintiffs’ favor (+2). This pattern is highly unusual in Minnesota judicial history and raises significant concerns about systemic unfairness.

Historical Comparison in Minnesota

To date, there are no known publicly documented Minnesota civil cases where a sitting judge has exhibited this level of consistent bias across such a large number of rulings in a single case. While individual rulings in other cases have occasionally been reversed or criticized for bias, what distinguishes this matter is the cumulative and patterned nature of the bias, backed by detailed comparative analysis of orders, transcripts, and evidence.

Minnesota judicial misconduct cases typically involve:

  • isolated incidents of inappropriate language or conduct;
  • procedural or legal errors in one or two rulings; or
  • allegations of bias that are not corroborated by a systematic review of the judge’s decisions over time.

By contrast, this case involves:

  • a multi-year series of separately analyzed orders,
  • AI-documented bias in 95% of them,
  • multiple defense-favoring rulings despite contrary evidence or legal standards, and
  • undisclosed connections between court staff and defense counsel’s family.

This level of disparity, affecting both procedural and substantive rights, is without precedent in any reported Minnesota civil case.

Summary

From a historical and legal standpoint, the volume, severity, and consistency of adverse rulings in this case—especially as quantified through AI analysis—constitute a uniquely troubling example of judicial bias in Minnesota. No comparable pattern of judicial conduct across this many orders appears in the public disciplinary or appellate record. This underscores the seriousness of the case and may warrant further oversight or independent investigation.

AI Content DisclosureThe analysis above was generated entirely or primarily by artificial intelligence.

About the author

Craig Stevenson

Craig Stevenson is the founder and Editor-in-Chief of Justice-Denied.org. He is President and CEO of Stevenson Technical Services, Inc. (STSI), which traces its roots to Craig’s Radio & TV, founded in 1979 and renamed STSI in 1989. He also founded and operated C&R Cable Company, Inc. from 1981 until its sale in 1989. Craig and his wife, Marie, have been married for more than 36 years and are the parents of two adult daughters.