Company Summary

  • Pattern Data Pattern Data
  • https://patterndata.ai/
  • Computer / IT (Software)
  • 11-25 employees
  • Charlotte, North Carolina, United States of America

Company Overviews

Pattern Data helps law firms and settlement administrators resolve mass tort cases faster, more accurately, and with greater confidence. Our platform connects every stage of litigation - from screening and development through settlement - so teams can manage complex dockets with clarity and precision.

Pattern replaces manual, fragmented workflows with structured data, automation, and real-time insights. Firms identify stronger cases earlier, close evidentiary gaps, and generate compliant settlement submissions with less effort and greater transparency.

Trusted across 30+ litigations and more than 1 million cases, Pattern Data delivers clarity, speed, and confidence in every mass tort.

Rating Reviews

Rating is calculated based on 2 reviews and is evolving.

Featured Reviews

Senior Data Analyst
3.9
24 August 2026
Solid Tech Company with Good Perks and Team
Pros: The comprehensive health insurance and competitive salary for a Senior Data Analyst are excellent. Pattern Data offers a solid 401k match too, which is a significant benefit. I really value the collaborative team culture in this data science environment.
Cons: The annual bonus structure could be more transparent, as it's not always clear how it's calculated. Also, approving new software or tools sometimes feels slow, which can impact our data analytics project timelines and efficiency.
Advice to Management: Continue to invest in clarifying the bonus structure and streamlining internal processes for tool adoption. These improvements would further empower data professionals and enhance overall productivity and satisfaction.
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Data Analyst
3.9
26 August 2026
Good learning environment, collaborative team
Pros: The team culture at Pattern Data is quite supportive. I felt I could always ask questions and get help from my peers, which was great for my development as a data analyst. The company is in the growing data analytics industry, and the work itself was usually engaging, involving interesting datasets and problem-solving.
Cons: While collaboration is strong, communication regarding project prioritization and workload distribution could sometimes be clearer. During peak periods, balancing tasks felt a bit overwhelming. More structured feedback loops on career progression would also be beneficial for long-term growth.
Advice to Management: Consider implementing more consistent processes for workload management and career development discussions to enhance employee retention and satisfaction. Clearer communication channels would also be helpful.
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