The role, as published
About the company
Our client builds AI-powered legal software for research and litigation workflows. Its products use large collections of court records and legal documents to help turn complex information into structured insights.
The role / why it matters
You will own the data pipelines that ingest, normalize, and enrich caselaw and docket records. Legal source data is messy, often arriving as scanned filings or semi-structured documents. The reliable signal you create will support downstream research and AI products.
What you'll do
- Build and maintain production pipelines for PACER, NYSCEF, state court systems, published opinions, and other legal records.
- Turn PDFs, scanned filings, XML, and HTML into clean, queryable data.
- Create LLM-assisted extraction workflows for legal text and validate results against source documents.
- Run statistical analyses, improve data quality, and optimize SQL queries.
- Support RAG and semantic search workflows in partnership with full-stack engineers.
- Operate and improve AWS S3 and RDS data systems within established security and compliance guardrails.
What we're looking for
- 4-8 years of experience building and operating production data pipelines with large, dirty datasets, and quickly finding signal in them.
- Strong Python and SQL skills for pipeline engineering and data analysis.
- Hands-on experience with legal data such as PACER records, court dockets, or court filings.
- Experience with AI for data, including RAG, semantic search, and LLM-assisted extraction, plus PDF parsing, OCR, and document extraction tooling.
- A bachelor's degree in Computer Science, Data Science, or a related field.
- Works fully autonomously and thrives with minimal management direction; stays curious about messy data problems and critically reviews AI-assisted code and outputs.
Bonus points
- Experience with regulatory or government data sources.
- Experience with vector databases or semantic-search tooling such as Pinecone or Voyage AI.
Location / work model
- Remote within the United States, with at least four hours of overlap with Eastern Time each workday.
- Plan for quarterly travel to New York City.
- Visa transfers may be considered. New visa sponsorship is not available.
Compensation, as the posting describes it
- Base salary: $180,000-$220,000 USD.
- Equity: 0.15%-0.25%.
- Strong preference for candidates based in the New York City area.