Gavelytics
AI-powered state trial court judge analytics
Acquired — still operating
acquired by Pre/Dicta 2022; continued as state-court analytics arm
About
Gavelytics applies machine learning to state trial court dockets to quantify how individual judges behave — how they tend to rule on over 100 motion types, their workload, and whether they lean plaintiff or defendant. Founded by litigator Rick Merrill, it was used by nearly half of the Am Law 100 before its 2022 acquisition by Pre/Dicta, after which it continued as their state-court analytics arm. Coverage has historically centered on California courts, so litigators outside those jurisdictions should check current reach before committing.
What it can do
- Motion analyzer (100+ motion types)
- Judicial workload comparison
- GavelScore plaintiff-defendant propensity
- Rulings database
- Arbitrator archive
Setup
- Contact Pre/Dicta for access to the Gavelytics analytics platform.
- Look up judges by court and jurisdiction.
- Review motion analyzer, workload, and GavelScore data.
- Tailor motion strategy and settlement posture to the analytics.
Prerequisites
State-court litigation practice; subscription through Pre/Dicta.
Use cases
Works with
Trust score — 6/10
Scored 6/10 (metrics tier, metrics-v1). Evidence: AI-powered state trial court judge analytics; Acquired by Pre/Dicta in 2022; Coverage historically centered on California courts; Some sources dated; confirm current reach before subscribing.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 6.0/10
- Maintenance · recency, releases, issue load
- 5.0/10
- Openness · license + docs
- 5.0/10
- Manual review · sanity read + red-flag check
- 6.0/10
- · AI-powered state trial court judge analytics
- · Acquired by Pre/Dicta in 2022
- · Coverage historically centered on California courts
- · Some sources dated; confirm current reach before subscribing
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.