Zurich, Switzerland / USA
Product & Design – Product /
Full-time /
On-site
DeepJudge is a fast-growing venture-backed startup at the forefront of applying Artificial Intelligence in the legal domain. Founded by ex-Googlers and ETH PhDs, our mission is to help legal teams harness their collective knowledge so they can focus on the strategic aspects of their work. DeepJudge’s state-of-the-art knowledge retrieval system directs legal professionals to the internal insights that matter most, providing a strong foundation for AI-powered workflows. We’re headquartered in Zurich, with a team in the United States and Canada, and cater to clients all around the world.
We’re a team of professionals who are passionate about their craft with a terrific record of applying technology in research and industry. Apart from that, we are pet lovers, cave researchers, yogis, divers, gamers, and so much more!
We're looking for a thoughtful and pragmatic Legal Workflow Engineer to help shape the future of AI-powered legal work. As a subject matter expert on legal workflows, you will directly contribute to building use cases for various practice areas, and also serve as a resource to our product and engineering teams. Bringing practical insight into how legal professionals work.
This is an exciting opportunity for a lawyer who is passionate about improving how legal work gets done. You are a good fit for this role if you enjoy working with customers as well as internal teams, combining thoughtful research, structured thinking, domain knowledge, and product intuition.
We are committed to building a diverse and inclusive team. If this role ignites a spark in you, but you're concerned about not meeting every requirement, we encourage you to apply anyway – Just make sure to explain why you'd be a good fit.
This is important to us: DeepJudge is an equal opportunity employer, and we value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.