You are looking for a job that will truly engage you. You have an entrepreneurial spirit and can make things happen in a fast-paced startup environment. You want to grow and be challenged, but above all you want to work towards a mission, and for your work to have meaning.
We’re Darrow - a fast-growing legal tech startup with an open, action-based culture unlike any other. We are committed to pursuing our vision of "frictionless justice," using advanced Machine Learning & AI to revolutionize the justice system. Our mission is about justice at scale: imagine walking into work every day knowing that you’re not only advancing your career but making a positive impact on the world. Darrow has more than 100 team members in Tel Aviv and New York, and is backed by world class investors: Georgian, F2 Venture Capital, Entree Capital, NFX and YCombinator.
Our Consumer Protection team is growing, and we are looking for a Legal Data Specialist to join the team.
Not Your Average Role
We are looking for an individual with a sharp legal intellect and proven analytical abilities to join our Consumer Protection team within our expanding legal data department. As a Legal Data Specialist, your role will involve utilizing Darrow’s data products to identify widespread legal violations, assess and predict case outcomes based on advanced calculations, and create novel data pathways. This position will also require active involvement in developing new workflows and pipelines. You'll need to take concepts and effective processes, figure out efficient ways to automate them, and establish data flows that can be scaled up. Accomplishing this task demands a combination of research skills and an inquisitive mindset to spot exciting new possibilities. Utilizing your technical and methodological thinking, you'll effectively identify legal violations across the web using various tech tools or capabilities. Your organizational and technological knowledge will come into play as you strategize and put in place a scalable process, ensuring a steady stream of relevant data flows back to our team.