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Designs, prototypes, evaluates, and improves LLM-powered legal AI systems and agentic workflows. Responsibilities include prompt engineering, RAG, retrieval and ranking, model experimentation, evaluation benchmarks, error analysis, monitoring, and production-oriented coding. The role engages lawyers and enterprise stakeholders to define measurable problems, validate AI experiences, and establish quality standards for accuracy, grounding, hallucination detection, tool use, reliability, cost, and latency.

The job description provides no specific responsibilities, qualifications, technologies, compensation, travel requirements, or clearance requirements for the Lexis Associate position.

Supports responsible AI governance across the AI lifecycle by maintaining use case and model inventories, risk assessments, model cards, control evidence, audit documentation, transparency records, and remediation tracking. Translates regulatory and policy requirements into practical processes, coordinates cross-functional reviews, evaluates AI risks and controls, and communicates technical governance information to legal, compliance, audit, business, and executive stakeholders.

Manage a portfolio of large law firm customers, serving as the primary customer success lead for adoption, workflow transformation, value realization, retention, and usage growth. Build trusted stakeholder relationships, create tailored success plans, guide change management, analyze customer health and usage data, support renewals and expansions, and provide product feedback. Help firms integrate legal research, drafting, analytics, and AI-powered solutions into daily workflows while partnering with sales, product, marketing, and enablement teams.

Provide consultative education, training, and support to government legal customers using LexisNexis products. Build account relationships, understand customer challenges, deliver presentations, communicate product value, support revenue retention and growth, identify leads, research competitors, and share customer feedback for product development. The role requires regular travel, territory management, legal research expertise, law-practice experience, sales or training experience, a Juris Doctorate, and an active bar license.

Leads large, multifunctional software development efforts and serves as a senior technical authority. Responsibilities include solving complex technical problems, designing data models, writing and reviewing code, completing bug fixes, supporting requirements, mentoring developers, and partnering with customers and internal or external technology resources. The role also contributes to architecture, budgeting, project planning, troubleshooting, risk assessment, and management recommendations.

Owns product outcomes end to end, including vision, strategy, roadmap, launch, and continuous improvement. Develops business cases, defines KPIs and OKRs, drives experimentation, and delivers AI-enabled capabilities. Partners with engineering, data science, UX, marketing, sales, and legal while engaging customers and influencing senior stakeholders. Leads complex cross-functional initiatives, removes blockers, ensures usability and scalability, and mentors product managers.

Drive new business acquisition in Legal, Corporate, Government, and Academic sectors through strategic sales plans and client relationship management.

Manage new sales and renewals for Research Intelligence across the Midwest. Use consultative selling to expand accounts, drive renewals, execute account strategies, maintain Salesforce/Clari accuracy, gather market feedback, support product/GT M, attend trade shows, and build relationships with senior stakeholders in academic and research institutions.

As a Senior Consulting Principal AWS Cloud Engineer, you will lead architectural practices, define AWS strategies, optimize multi-cloud solutions, and mentor teams to ensure operational excellence and compliance.