Preparing the requested public record.
Preparing the requested public record.
S.D. Mississippi · Sep 17, 2025
In Latasha Hill v. Auto Club Family Insurance Company, the Southern District of Mississippi denied seven late and procedurally deficient discovery motions filed by a self-represented plaintiff. The September 17, 2025 order separately examined authorities offered in the motions. It found that Hazy v. Ford Motor Co. did not exist; that the purported Patterson v. Allstate Westlaw citation actually belonged to an unrelated Fair Labor Standards Act case; that a claimed Architex citation was fictional; and that a cited Canal decision was inaccurately given and unrelated to claims-manual discovery.…
In Latasha Hill v. Auto Club Family Insurance Company, the Southern District of Mississippi denied seven late and procedurally deficient discovery motions filed by a self-represented plaintiff. The September 17, 2025 order separately examined authorities offered in the motions. It found that Hazy v. Ford Motor Co. did not exist; that the purported Patterson v. Allstate Westlaw citation actually belonged to an unrelated Fair Labor Standards Act case; that a claimed Architex citation was fictional; and that a cited Canal decision was inaccurately given and unrelated to claims-manual discovery. The court also found the Levens, Johnson, and Dunn authorities did not support the claimed proposition. It expressed concern that the authorities may have been produced by generative AI, but expressly said Hill still had Rule 11 obligations even if she had not used AI. The resulting action was a warning and denial of the motions, not a monetary sanction in this order.
The order verifies individual citation failures while carefully preserving uncertainty about whether AI generated them.
AI (implied, unspecified) is recorded in the source dataset; confirm the basis in the linked document.
Warning
Correction behavior is not separately verified in the current record.
5 citation, quotation, or authority issues are recorded in the source dataset.
Related by court, jurisdiction, tool, or classified failure pattern. Similarity does not imply the same facts or outcome.