Pattern Data

Software Engineer I

United States

Pattern Data Logo
Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Medical Data Analysis, Legal Data Processing, AI/ML, Software DevelopmentIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science or a related technical discipline, or possess related practical experience. They should have project experience working fullstack, with internship experience on a small team being a plus, and demonstrate curiosity in solving deep problems with strong attention to detail.

Responsibilities

As a Software Engineer at Pattern Data, you will learn from senior engineers in the design, development, and maintenance of document processing systems and user-facing applications, proactively tackle assigned tasks and projects, develop front-end components using React and Typescript, support back-end development using Scala, collaborate with product, analytics, and engineering teams to build scalable solutions, and write clean, maintainable, and well-tested code.

Skills

React
TypeScript
Scala
PostgreSQL
GraphQL
Elasticsearch
AWS
Front-end Development
Back-end Development
Fullstack Development
Testing
Collaboration

Pattern Data

AI platform for streamlining litigation processes

About Pattern Data

Pattern Data provides an AI-powered software platform aimed at improving the litigation process for law firms, especially those handling mass tort cases. The platform automates repetitive tasks like reviewing medical records and extensive documentation, enabling legal teams to gather evidence more efficiently and reduce case backlogs. It also offers features such as predicting case quality, conducting rapid case reviews, and automating settlement analysis. Unlike its competitors, Pattern Data focuses specifically on the needs of law firms, providing tools that enhance productivity and accuracy in case management. The goal of Pattern Data is to streamline legal operations, allowing firms to make informed strategic decisions based on comprehensive data analysis.

Key Metrics

Charlotte, North CarolinaHeadquarters
2020Year Founded
$1.1MTotal Funding
SEEDCompany Stage
Enterprise Software, AI & Machine Learning, LegalIndustries
11-50Employees

Risks

Competitors like Luminance and Kira Systems are advancing their AI capabilities.
Data privacy regulations like CPRA may increase compliance costs for Pattern Data.
Law firms developing in-house AI solutions could reduce demand for Pattern Data.

Differentiation

Pattern Data uses AI to streamline personal injury claims processing.
The platform automates tedious tasks, improving efficiency for law firms.
Pattern Data offers predictive analytics to enhance case quality assessment.

Upsides

AI adoption in legal tech increased by 30% in 2023.
AI in legal tech is projected to grow at a 28% CAGR until 2028.
AI can reduce case processing time by up to 50%, boosting efficiency.

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