World’s largest litigation database — 325M+ cases across 13 countries. Calculates attorney win rates by judge, court, and case type. Claims data-driven attorney selection yields average 30.70% win rate improvement. $5M funding. Founded by Toby Unwin. Featured in Forbes (2015), Artificial Lawyer (2017). Verisk/ISO Claims Partners partnership for insurance litigation analytics. Has lawyersbywinrate.com consumer-facing site. Also operates softwarefinder listing. Based in New York. No Reddit presence found but significant media coverage for a legal analytics company.
Company Info
- Founded: 2014
- Team size: 11-50 employees
- Funding: $3M
- HQ: United States
- Sector: Legal Research
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.
Workflows
Based on practitioner evidence, Premonition is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Premonition addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Litigation team preparing for trial needs to understand how a specific judge rules on summary judgment motions, Daubert challenges, and sentencing — but there's no systematic analytics on judge behavior, so strategy relies on anecdotes from colleagues who've appeared before that judge
Where it fits in your workflow
Community Data
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