Predict Law

Est. 2023 HQ Germany Employees 6 Funding $545.4K Updated 2026-02-10
Rank trajectory2024-02 → 2026-05 · 28 months
CLIMBED +47From #531 (2024-02) to #484 today
#369#420#470#521#5712024-02: #5312024-03: #5312024-04: #5312024-05: #5312024-06: #5302024-07: #5322024-08: #5332024-09: #5262024-10: #5282024-11: #5332024-12: #5332025-01: #5342025-02: #5362025-03: #5442025-04: #5472025-05: #5422025-06: #5392025-07: #5402025-08: #5372025-09: #5402025-10: #5402025-11: #4942025-12: #4902026-01: #4302026-02: #4302026-03: #3932026-04: #4372026-05: #484 #484 now Q2 24Q3 24Q4 24Q1 25Q2 25Q3 25Q4 25Q1 26Q2 26May 26

How this is computed · one composite score, recomputed across all 28 months, ranked on a 3-month moving average

What it is

Predict.law is a Seattle-area legal AI startup using machine learning to help personal injury attorneys predict case outcomes and negotiate more effectively. Platform analyzes historical case data and fact patterns to provide case valuation, what-if scenario modeling (jurisdiction, judge, injury severity), polished prediction reports, and automated demand letter generation matching firm tone and branding. Founded 2023 by Pat Wilburn (ex-Thomson Reuters CSO, ex-Microsoft GM). Graduated from Mudita Studios. ~2,258 LinkedIn followers. $545K funding. Initial focus on contingency-based civil cases where case selection directly impacts firm economics.

Company Info

  • Founded: 2023
  • Team size: 1-10 employees
  • Funding: $545.4K
  • HQ: Germany
  • Sector: Litigation

What We Haven’t Verified

This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.

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Funding
  • 545.4KTotal funding reported by the TLTF directory · founded 2023 · as crawled 2026-02-09source ↗

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