Judge Analytics

Judge Analytics

Judge Analytics

Judge analytics aggregates a judge's decisions on categories of motions, average time to ruling, trial setting practices, and case disposition patterns from docket data.

Outputs typically include grant rates for summary judgment, dismissal, and discovery motions, and median time to disposition.

Alternative Names:

Judicial Analytics, Judge Data

Why it Matters?

The useful applications are procedural rather than predictive: knowing that a judge rarely grants summary judgment in a category, or takes many months to rule on dispositive motions, informs whether to invest in the motion and how to plan the schedule. Sample sizes for individual judges are frequently small enough that grant rate percentages should be treated as directional. Several jurisdictions outside the United States prohibit judicial analytics entirely.

Frequently Confused with

Related terms

Frequently asked questions

What does judge analytics actually tell you?

What does judge analytics actually tell you?

Historical grant rates on motion categories, typical time to ruling, and disposition patterns, which inform motion investment and scheduling expectations.

How reliable are individual judge statistics?

How reliable are individual judge statistics?

Directionally useful but limited by sample size. A grant rate derived from a small number of comparable motions should not be treated as precise.