Founded in 2013
Current jobs opening: 2
Total jobs posted: 2
Casetext is a public legal research tool and online community that’s quickly becoming the best place to discover and share legal knowledge. It responds to a major problem plaguing the legal industry and the public: the law is extraordinarily expensive to access and difficult to understand. Lawyers know that a handful of companies keep databases of legal documents behind steep paywalls, and thousands of hired “legal editors” add cursory context to help users understand the law. Despite the stranglehold they have on the market, these tools fail to tap the most valuable source of legal insights: the expertise in the legal community. This system is bad for lawyers, clients, and the public.
At Casetext, we're taking a different approach. Instead of charging to access the law, we're making all of it free. And instead of hiring people to annotate our legal database, we have a growing community of practicing lawyers who share insights about the law to build their reputations and connect with colleagues and clients alike.
On Casetext.com you can search millions of cases, statutes, and regulations on the free research platform, annotated by analysis from the legal community. Valuable commentary from law firm case alerts, legal blog posts, and other publications are searchable and linked to the relevant primary documents, so researchers find the insights they need when they need them. And it’s all connected to an online legal community, giving authors a platform to demonstrate thought leadership to the roughly 250,000 people researching on Casetext each month. Casetext is the only place where lawyers and law professors post original insights, legal briefs, and even existing publications to peers in the legal community, while strengthening a public legal resource.
We are looking for a Back-end Engineer to help us ingest, process, transform, and derive insights from the corpus of all of U.S. law. You should be someone interested and excited to take on some of the hardest questions in natural language processing, machine learning, search, and scaling a custom back-end that can process hundreds of millions of pages of text quickly. We aren't looking for experience with a particular set of languages. Instead, you should be comfortable collaborating with other engineers on a diverse software architecture. Our back-end stack includes ElasticSearch, NodeJS, Go, Python, and Java. We value people who are... more