Pilot · MDL Platform

Expert Witness Prediction

Predict whether your expert will survive Daubert before you retain them. Profile every federal judge's gatekeeping behavior — by case type, expert discipline, and ruling pattern.

Pilot underway with first design partner

In MDL litigation, a single Daubert ruling decides the fate of thousands of cases at once — and judges vary wildly in how they apply Rule 702. We turn millions of pages of orders, hearings, and opinions into structured profiles of how each judge handles expert testimony, so you can predict admissibility before discovery, settlement, or trial.

The world this lives in

MDL is now 67.8% of federal civil litigation

And the assigned judge — not the science — often decides whether the case survives. Decades of research show identical cases produce wildly different outcomes depending on who hears them. We turn that randomness into a measurable signal.

158
Active MDLs
326,539 individual cases consolidated under one judge each
67.8%
Of federal civil filings
Up from 29% in 2012 — concentration is accelerating
1,255+
Federal judges to profile
Active + senior status, all Article III district judges
411
Weighted filings per judge per year
A constant stream of orders, opinions, and Daubert rulings
5%–88%
Asylum grant range by judge
"Refugee Roulette": identical cases, opposite outcomes
What the API returns

Daubert profiles, decoded

Daubert Grant Rate

Per judge, overall and by year. How strict is this judge as a gatekeeper — and how has that drifted since the December 2023 Rule 702 amendment?

By Case Type

Pharmaceutical, medical device, environmental, products liability. Exclusion rates broken down by tort category — domain tendencies surface here.

By Expert Discipline

Epidemiologists, toxicologists, biomechanical engineers, clinicians. Which disciplines does this judge trust, and which do they routinely exclude?

Reasoning Patterns

Extracted methodology language from past Daubert opinions. What this judge finds persuasive — and what reads to them as unreliable methodology.

Who it's for

Built for everyone with money on the outcome

Mass Tort Case Management

Score case dockets before you fund them.

  • Portfolio Scoring
    Plug judge profiles into your Legal Momentum scorecard to grade MDL exposure deterministically, not anecdotally.
  • Assignment Alerts
    When a new MDL judge is named, a profile lands in your queue before the JPML order is dry.

Litigation Funders

Underwrite outcomes, not gut feel.

  • Diligence Workflow
    Every investment memo carries a quantified judge thesis instead of an associate's anecdote.
  • Portfolio Risk
    Roll up Daubert risk across an entire book of funded matters — not case-by-case.

Plaintiff & Defense Firms

Walk into Daubert prepared for this judge, not a generic one.

  • Judge-Specific Playbooks
    Reasoning patterns, methodology preferences, and exclusion triggers — distilled from every Rule 702 opinion in their history.
  • Expert Selection
    Retain experts whose disciplines this judge has historically credited — not ones who have lost in front of them before.
Design partners welcome

First-mover access during the pilot

We're shaping the v1 surface with mass tort case managers and litigation funders. Tell us what you'd score, and we'll build it into the dataset.

Get in touchWe'll reply within two business days.