About the role
We're looking for a Data Engineer with 4+ YOE to own the caselaw and docket data layer at OurFirm.ai. You'll build production pipelines that ingest, normalize, and enrich data from PACER, NYSCEF, state court systems, and published opinions — turning raw legal data into the structured signal that feeds our AI strategy layer. Every downstream product surface depends on what you build. Legal data is uniquely messy, and prior fluency with it will save months of ramp.
Responsibilities
- Take full ownership of the caselaw and docket data layer — build and maintain production pipelines ingesting from PACER, NYSCEF, state courts, and published opinions at scale across millions of court records
- Wrangle messy semi-structured inputs (PDFs, scanned filings, XML/HTML) into clean, queryable structures
- Design LLM-assisted extraction workflows using Claude, Gemini, or OpenAI to turn unstructured legal text into reliable structured signal
- Work closely with full-stack engineers to feed the judicial behavioral intelligence and AI strategy layers
- Run statistical analyses, optimize SQL queries, and leverage RAG and semantic search tooling (Pinecone, Voyage AI) to maximize data impact
- Operate and optimize the AWS data stack (S3, RDS) in line with SOC 2 subservice architecture guardrails