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An established industry player is seeking a visionary Director of AI Engineering to lead transformative AI initiatives. This role involves spearheading flagship AI products, fostering innovation, and collaborating across teams to enhance document review processes in the legal sector. The ideal candidate will have extensive experience in AI/ML development, proven leadership skills, and a passion for leveraging technology to solve complex challenges. Join a forward-thinking company that values accountability and strives to empower its customers with cutting-edge AI solutions that redefine industry standards.
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Join to apply for the Director, AI Engineering – Transform Review role at Relativity
Posting Type
Hybrid
Job Overview
About AI at Relativity
Every year, the most expensive yet common activity that users of our software at Relativity perform is reviewing documents to find relevant and important information. Billions of documents are analyzed and reviewed every year in Relativity. For more than a decade, Relativity has been the leader in leveraging advanced technologies like AI to improve the document review process and results for our users, but we are just getting started.
We are focused on helping our users discover the truth more quickly and act on data with confidence. Relativity has established a set of AI Principles to guide product development and underscore our commitment to developing responsible AI. These principles include building AI with purpose that delivers value for customers, empowering customers with clarity and control, ensuring fairness in AI development, championing privacy, placing the security of customers’ data at the heart of everything we do, and acting with a high
standard of accountability.
Over the past two years we have developed a suite of AI solutions that leverage generative AI. We have branded these as "Relativity aiR" products that are now well known and recognized leading generative AI solutions in our industry. Specifically aiR for Review, aiR for Privilege, and aiR for Case Strategy. aiR for Review and aiR for Privilege use generative AI and other proprietary technologies to help our users review documents for relevance, issues, key information, and privilege content faster, more accurate than other review methods, while providing defensible transparent results. aiR for Case Strategy helps users extract facts, summarize, and take action with their data to prepare for depositions, trial, and arbitrations.
About The AI Team At Relativity
Relativity is heavily invested in developing new AI products and features for our customers. Our team spans across many teams and functions within Relativity Engineering, including our data engineering team, ML Ops team, applied science team, and product-focused feature teams for our RelOne AI suite of products.
About The Director Of AI Engineering – Transform Review
The Director of AI Engineering – Transform Review will lead a team responsible for our flagship AI products, including Review Center, aiR for Review, and aiR for Privilege. This role will bring together the architecture and organization, aligning shared concerns related to how we build AI products, and unify the organization so that each product becomes part of a cohesive and consistent solutions that transforms Transform Review as we know it today and redefines the future of document review for Legal industry.
This Leader will accelerate AI innovation at Relativity. They will work closely with their counterparts in Product Management to understand customer needs, evaluate qualitatively and quantitatively workflows and features that will solve the biggest customer challenges, that products we deliver are adopted quickly and deliver value for both Relativity and our customers, and ensure that our AI solutions align with our AI principles and our mission statement at Relativity.
The Transform Review team will consist of 50+ engineers and product leaders focused on automating all aspects of Transform Review for our customers and will guide innovation within these products, guiding their development and growth. This leader will collaborate heavily with leaders in other parts of the AI organization, such as Applied Science, Data Services (data engineering), Search, and other aiR product leaders to maximize our AI investments and outcomes.
Job Responsibilities'
Job Description and Requirements
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