Pattern Data Tech Stack

Mass tort litigation platform with case analytics and settlement automation

Software Development Charlotte, North Carolina 11–50 employees Privately Held

Pattern Data operates a specialized legal-tech platform for mass tort case management, built on Python + PostgreSQL + Elasticsearch with a React frontend and LookML analytics layer. The company is tracking across 30+ litigations and over 1 million cases, signaling operational scale uncommon for an 11–50 person team—a tight engineering org (2 engineers, 1 data, 1 product) paired with equal sales headcount suggests a product-led model selling into law firms and settlement administrators rather than a traditional enterprise sales engine.

Tech Stack 12 technologies

Core StackPython HubSpot Scala TypeScript PostgreSQL GraphQL Elasticsearch AWS React SQL Excel LookML

What Pattern Data Is Building

◆Challenges

Manual inefficiencies
High-volume litigations
Complex settlement criteria
Reducing costs
Integration adoption

▲Active Projects

Lookml dashboards and progress trackers
End-to-end analytics pipelines
Award determinations and duplicate detection
Sales performance dashboards
Account plans development
Core api for data processing
Product deployment to legal teams
Document processing systems
User-facing applications
Api and connector roadmap

Hiring Activity

Decelerating6 roles · 1 in 30d

Department

Engineering

Sales

Data

Product

Seniority

Junior

Mid

Senior

Staff

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About Pattern Data

Pattern Data provides case-review and settlement-management software for law firms and settlement administrators handling mass tort litigation. The platform consolidates screening, development, and settlement workflows into a single structured system, replacing manual case reviews and fragmented tools with automation and real-time analytics. Core capabilities include case evaluation, duplicate detection, award determination, and compliant settlement submission generation. The company operates across a mix of internal analytics infrastructure (LookML dashboards, pipeline work) and customer-facing product layers (document processing, APIs, user applications).

HeadquartersCharlotte, North Carolina

Company Size11–50 employees

Hiring MarketsUnited States

Frequently Asked Questions

What is Pattern Data's tech stack?

Python, SQL, PostgreSQL, Elasticsearch, React, GraphQL, TypeScript, Scala, and AWS. Analytics layer runs on LookML. Customer-facing tools connect through a core API and multiple connectors.

How many cases has Pattern Data processed?

Pattern Data reports managing more than 1 million cases across 30+ litigations as of the latest data.