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Leads legal data intelligence initiatives by applying litigation and discovery expertise to evaluate generative AI systems. Develops benchmarks and testing frameworks, collaborates with scientists, product managers, designers, engineers, and enablement teams, gathers client feedback, and explains AI capabilities to legal professionals. Creates training and documentation for legal data intelligence workflows and best practices.
Posting Type
Remote/Hybrid
Job Overview
At Relativity, we build technology that helps people uncover the truth in complex data. Our software (SaaS) empowers legal professionals, governments, and organizations around the world to navigate high stakes matters with confidence, clarity, and integrity. By combining advanced AI, powerful analytics, and cloud-based technology, we help teams make sense of massive volumes of information and move critical work forward faster and more accurately. Every role at Relativity contributes to creating scalable, secure, and intelligent solutions with real-world impact—while fostering a culture where curiosity, collaboration, and inclusion thrive and where employees help shape the future of legal technology.Department Description:
The AI and Applied Sciences department at Relativity drives innovation by developing advanced AI solutions and applied research to solve complex legal and compliance challenges.
Job Summary:
The Legal Data Intelligence SME will bring expertise as a practicing litigator and deep knowledge of discovery. You’ll draw on this expertise to help us build and evaluate our key generative AI capabilities. You’ll interface with other litigators, both helping us explain how our technology operates to them and taking their feedback and providing it back to our applied science team, conveying the nuances of both the technology and the needs of the litigator persona as you do so. This role bridges legal expertise with technical innovation, guiding the design and deployment of solutions that optimize data intelligence for legal workflows.
Job Description and Requirements
Job Responsibilities:
- Contribute to Relativity applied science strategy by leveraging your subject matter expertise to design, build and improve our tests, benchmarks, and other evaluation systems for our generative AI solutions.
- Work internally with our applied scientists, product managers, designers, engineers, and customer enablement teams to provide internal feedback and suggestions on the enablement, performance, usability, and functionality of our generative AI solutions.
- Work externally with our clients and our industry to explain how our generative AI systems work and to receive their feedback on the performance of our generative AI in analyzing and classifying documents, identifying information that needs to be protected, and extracting and curating knowledge.
- Develop and deliver training and documentation for internal teams on legal data intelligence workflows and best practices.
Minimum Qualifications:
- A Juris Doctorate and at least 3-5 years of experience as a practicing attorney; some but not all of this requirement may be satisfied by equivalent experience working for a legal service provider or legal technology vendor.
- Deep interest in the use of generative AI to responsibly advance the practice of law and access to justice.
- Strong and clear communicator, able to synthesize and communicate complex technical concepts and results to internal and external audiences.
- Experience in discovery or legal technology platforms.
- Experience working with cross-functional teams.
Preferred Qualifications :
- Significant litigation experience and deep understanding of the processes of investigations and litigation, including discovery and pre-trial practice
- At least 5 years of experience as a practicing attorney
- Strong understanding of the traditional EDRM and broader Legal Data Intelligence use cases and workflows.
Suggested Skills:
Business Intelligence (BI), Data Analysis, Data Governance, Data Intelligence, Data Visualization, Information Security, Legal Practices, Legal Research, Risk Management, Structured Query Language (SQL)Relativity London, England Office
4 Chiswell Street, 3rd Floor, London, United Kingdom, EC1Y 4UP
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