Remote Software Engineer Intern — Legal AI & Data Pipelines

DocketX

United States

Remote

USD 70,000 - 95,000

Full time

13 days ago

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Job summary

DocketX is seeking a paid engineering internship focused on the systems behind DocketRouter, DocketBuster, and our open corpus of court opinions. You will work with our engineering team on retrieval systems, citation verification, and data pipelines, all on US hours and fully remote.

The role offers mentorship, hands-on coding, and opportunities to contribute to public APIs and product pipelines used by law firms and in-house teams.

Qualifications

  • Currently studying computer science or a related field, or building equivalent experience on your own.
  • Working knowledge of at least one general purpose programming language, such as Python.
  • Comfort reading unfamiliar code and asking questions when something is unclear.
  • Some experience handling structured data, files, or APIs.

Responsibilities

  • Write, test, and document code for features on DocketRouter and DocketBuster
  • Build and maintain data pipelines that process court opinions and statutes
  • Help extend state law bundles, including the Wisconsin work in progress
  • Write checks and tests that confirm citations verify correctly against our reference set
  • Contribute to the published API docs and internal notes so other engineers can follow your work
  • Participate in code review and in regular check ins with your mentor on the engineering team

Skills

Currently studying CS or related field
Willingness to learn and ask questions
Remote on US hours

Tools

Python

Job description

DocketX is seeking a paid engineering internship focused on the systems behind DocketRouter, DocketBuster, and our open corpus of court opinions. You will work with our engineering team on retrieval systems, citation verification, and data pipelines, all on US hours and fully remote.

The role offers mentorship, hands-on coding, and opportunities to contribute to public APIs and product pipelines used by law firms and in-house teams.

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