Pattern Data, founded in 2020 and headquartered in Charlotte, North Carolina, builds AI-powered software for mass tort law firms and settlement administrators. Its platform automates the review of medical records and legal documents, extracting diagnoses and patterns from unstructured data and converting it into indexed, searchable knowledge bases that support evidence-building, case evaluation, and settlement workflows.
The platform has been deployed across more than 30 litigations covering over one million cases, processing terabytes of unstructured records. Notable deployments include Camp Lejeune, the Social Media MDL, Roundup, and AFFF litigations. Customers include leading law firms and settlement administrators working on large-scale, complex matters.
On the technical side, Pattern Data applies natural language processing and machine learning to information extraction, document indexing, and real-time analytics. Core capabilities include:
- Automated medical record review and diagnosis extraction
- Unstructured data processing at terabyte scale
- Structured knowledge base creation from legal and medical documents
- Generation of compliant settlement submissions
- Real-time insights to support case prioritisation and evidentiary review
The company operates in the legal technology space, targeting the specific workflow demands of mass tort litigation - a domain characterised by high document volumes, tight evidentiary requirements, and complex settlement processes.
