Pooled criteria met
Cortega Legal on Harvey LAB
Cortega Legal on Harvey LAB
Cortega Legal met 91.4% of criteria in the October 2026 public-suite run. 19.7% of tasks met every criterion, at $0.24 per task in tokens at list price.
Tasks meeting every criterion
Token cost per task
Published results for the same primary model
Cortega Legal used GLM-5.3 Flash as its primary model and completed every criterion on 19.7% of the public Harvey LAB tasks. For GLM-5.3 Flash, Vals AI reports 6.67%, Mercor reports 11.1% ± 3.4% (Max), and Artificial Analysis reports 0.8% on its hallucination-gated v1.1 metric. The comparison is limited to our restricted model configuration and the matching primary model.
Task sets, model settings and grading differ across these workflows. Artificial Analysis also applies a material-hallucination gate. Sources checked 19 October 2026.
Scope and measurement limits
Cortega graded 1,743 public tasks. Vals uses held-out tasks. Mercor lists 1,749 public tasks. Artificial Analysis uses 120 private tasks and a material-hallucination gate. These differences prevent attributing score differences to the workflow alone. The Cortega result reports rubric completion before the separate citation check.
Cortega Legal's results were graded by Cortega with an automated marker. Run-to-run variation is about three points on a sample of 100 tasks. Cost is the tokens used at the model's list price and does not include verification.