Join the Legal Tech Revolution at Litera Are you ready to shape the future of how law is practiced? At Litera, we’re on a mission to Raise The Bar™️ for the legal profession by delivering transformational and globally-trusted solutions to law firms and corporate legal teams worldwide. We’ve been a leader in legal tech innovation for 30 years and are leading the legal AI revolution to this day with most of the world’s largest law firms as our clients. If you’re passionate about building AI-forward solutions that scale globally and want your work to impact millions of legal professionals worldwide, this is your opportunity to be part of an extraordinary team that’s elevating the craft of law. As part of our strategic growth and commitment to fostering collaboration and operational excellence, we are transitioning to a hybrid working model. This position can be based in any of our North American offices or our London office and candidates should reside within reasonable commuting distance, as this role requires on-site presence at least six days per month. This hybrid approach enables us to build a collaborative and innovative work environment while maintaining the flexibility that supports both productivity and work-life balance. We are actively seeking talented individuals to join our team in this exciting new phase of growth. Position Overview We are seeking a Legal Product Consultant to join our Legal Knowledge Engineering (LKE) team, where legal expertise meets cutting-edge artificial intelligence. In this dynamic role, you will serve as the critical bridge between sophisticated legal practice and innovative technology solutions, working directly with law firms and legal organizations to transform how they leverage AI-powered tools in their daily workflows. As a Legal Product Consultant, you will partner with lawyers, legal operations teams, and firm leadership to successfully integrate Litera's AI-powered products into their practice. You will also play a pivotal role in product innovation, experimenting with generative AI technologies, developing machine learning solutions, and providing strategic feedback that shapes our product roadmap.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
501-1,000 employees