We're hiring a senior software engineer to help build the largest case law dataset. Anthropic just announced Midpage as their legal data partner, and our coverage of US laws and court decisions powers both our lawyer-facing AI platform and B2B data services for top AI labs and legal tech companies.
Responsibilities include:
Building pipelines that augment documents with metadata, e.g., which decisions overrule another decision, which decisions are an appeal/remand/consolidation of another decision, etc. Our competitors still label these by humans making $300+/hr.
Building systems to ensure the reliability and accuracy of hundreds of web scrapers.
Optimizing and evaluating our core utils, which do things like extracting and resolving citations, determining which courts are able to overrule which other courts, etc.
Exposing core services on our data via APIs, MCPs, websockets
Benchmarking and evaluation of core tasks (human and synthetic)
We believe in skipping what can be skipped and appreciate simple solutions to complex problems.
Good candidates for this role should be (1) technical generalists, definitely across the backend (bonus for fullstack). (2) comfortable working with data pipelines, including basic to intermediate infra/devops.
Interest/experience with stats/ML/AI is a bonus, but not critical. You should be cautiously AI-pilled.
Tech stack isn’t critical, Python and SQL are core. Definitely be able to stand up your own projects on your preferred infra end-to-end.
We are changing the law the same way Cursor and Github CoPilot changed coding. Legal research is hard enough on its own. The tools lawyers rely on - built by 50+ year old duopoly, Westlaw and Lexis - make it even harder.
This is changing. Our competitors build chatbots. But what lawyers really need is a data layer which enables tools like Claude Cowork, which already excel at tasks like research and document drafting, to access high-quality legal data. That's what we're building. We care for craftsmanship, and a product that people love. 200+ law firms subscribe to Midpage, power users spend 30+ hours a week on the platform, and some of the largest legaltech and AI startups are powered by Midpage data on the backend. And we're just getting started.3. done
Team size
8 employeesFounded
Website
www.midpage.aiTotal funding
6,100,000Company locations
You'll be joining a team of 8 in New York. All of our engineers are senior, and we're looking for a generalist who can hit the ground running.