Company profile
Mass Tort Litigation Software
Live profile
Pattern is the operating system for mass tort litigation, turning case reviews into structured inventories that improve accuracy, visibility, and speed.
11-50
Public pricing page
AI Classification
Pattern Data is an AI-powered mass tort litigation software platform that transforms case reviews into structured, settlement-ready inventories for plaintiff law firms and litigation administrators. The platform supports screening, case development, and settlement across 13+ active MDLs including Roundup, PFAS, Social Media, and Ozempic litigations.
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Mass Tort Litigation Software is one of 2,671 B2B companies in the Kustiq directory.
Mass Tort Litigation Software sits among 37 legal tech vendor companies in our LegalTech directory.
Similar profiles: Complianceexperts, Resend · Email for developers, Cloud-based data analytics exploration for all, and Growthbook.
Both sit in the 11-50 headcount band. See Mass Tort Litigation Software vs Complianceexperts side by side.
Both sit in the 11-50 headcount band. See Mass Tort Litigation Software vs Resend · Email for developers side by side.
Both sit in the 11-50 headcount band. See Mass Tort Litigation Software vs Cloud-based data analytics exploration for all side by side.
How Mass Tort Litigation Software compares with other Legal Tech Vendor companies
Mass Tort Litigation Software is one of 37 Legal Tech Vendor companies profiled in the Kustiq LegalTech directory, which holds 57 LegalTech companies in total. Every number below is computed from those profiles.
Mass Tort Litigation Software sits in the 11-50 headcount band. 7% of the 29 segment peers with a known team size are smaller. 31% of those peers share the same band.
The most common tech detections across the 9 peers with a visible stack are Google Analytics (44%), Cloudflare (44%), and Google Fonts (33%). Mass Tort Litigation Software lists none of them.
Among the 16 segment companies with disclosed funding, Growth is the most common stage (44%).
The median founding year across 8 peers with a known founding date is 2014.
Augusta is the most common HQ city in this segment, home to 18% of the 11 peers with a known location.
Benchmarks are recomputed from live directory data, so they move as profiles refresh. Counts cover Kustiq-profiled companies, not the whole market.
How this profile was built
- Live web rendering via Browserless headless Chrome, not a stale cached scrape.
- Search intelligence via Serper API across the company site, LinkedIn, press, and GitHub.
- Claude only picks the buckets. It never decides facts.
- 12-factor churn engine. Deterministic score, zero LLM at scoring time.
- SMTP RCPT TO handshake on every contact, at delivery time on full profiles (paid plan).
This profile was built from 5 rendered pages of patterndata.ai and search coverage across the live web on .
Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.
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