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An innovative firm is seeking a Senior Legal Data Intelligence Lead to drive AI advancements in the legal sector. This pivotal role involves engaging with clients to explain generative AI systems and gather feedback, while collaborating with interdisciplinary teams to enhance AI solutions. The ideal candidate will possess a Juris Doctorate and significant legal experience, with a strong grasp of Relativity software and a passion for leveraging AI to improve legal practices. Join a forward-thinking organization that values responsible AI development and is committed to enhancing access to justice.
Posting Type
Hybrid
Job Overview
About AI at RelativityJob Description and Requirements
Responsibilities
Engage externally with clients and industry to explain how our generative AI systems work and gather feedback on their performance in document analysis, classification, information protection, and knowledge extraction.
Collaborate internally with applied scientists, product managers, designers, engineers, and customer enablement teams to provide feedback on AI solutions' performance, usability, and functionality.
Contribute to the applied science strategy by leveraging your expertise to design, build, and improve tests, benchmarks, and evaluation systems for our generative AI solutions.
Qualifications
Juris Doctorate and 5 years of legal practice as a litigator or equivalent experience in legal services or technology.
Hands-on experience with Relativity across various workflows, including traditional EDRM and broader Legal Data Intelligence use cases.
Strong communication skills capable of synthesizing and conveying complex technical concepts to diverse audiences.
Deep interest in responsibly advancing legal practice and access to justice through generative AI.
Understanding of TAR, statistical validation, and advanced document review techniques.
Relativity offers competitive compensation, including base salary, performance bonuses, and long-term incentives. The salary range for this role is $154,000 to $232,000, with the final offer based on experience, skills, and internal equity. Salary at the top of the range is uncommon to allow for future growth.