Jobs at LexisNexis

Senior consultative pre-sales role partnering with account teams to research, qualify, and progress complex enterprise legal-technology opportunities. Engage senior legal stakeholders, lead discovery and workflow analysis, design tailored demonstrations and proof-of-concepts, and share customer insights with product and GTM teams to drive new and expanded revenue.

Support LexisNexis' Irish legal market by creating and reviewing practical guidance content, monitoring Irish legal developments, maintaining trackers, supporting case and legislation work, and improving workflows and tools to increase efficiency.

Lead development and research of AI-driven IP analytics features: design agentic AI systems, build reusable evaluation frameworks, deliver production AI services, optimize performance and cost, help build AWS infrastructure with Terraform, mentor junior developers, write specifications, and participate in Agile development and code reviews.

Subject-matter expert in corporate financial reporting and SEC disclosure who creates enablement resources, leads customer engagement (demos, webinars), advises product strategy on regulatory trends, and collaborates cross-functionally to align Intelligize solutions with corporate reporting workflows and compliance needs.

The Technical Editor will research, write, and edit legal content while ensuring accuracy and adherence to house style, managing deadlines, and liaising with various teams to enhance legal publications.

Senior backend engineer responsible for designing and implementing Python-based services, databases, messaging, observability, and CI/CD. Collaborate across teams, conduct technical research and PoCs, improve systems, and mentor junior engineers.

Design, build, and maintain scalable ETL/data pipelines and infrastructure. Ensure data quality, ownership of data products, collaborate with analysts and data scientists, drive continuous improvement, and support delivery of AI-driven data solutions for business stakeholders.

Prospect and generate qualified sales opportunities through cold calling, email and social outreach; target decision-makers, identify customer needs, schedule demos with sales teams, build pipeline, and collaborate with account managers to drive revenue and meet management goals.

The Data Scientist will conduct experiments on large datasets, develop machine learning models, collaborate with teams, and innovate data solutions.

Lead a team of data scientists to develop predictive models, collaborating with cross-functional teams to solve business problems and improve operations using data-driven strategies.

Conducts experiments on large datasets, develops machine learning models, collaborates with teams, and ensures the quality of data-driven solutions.

The Director of Data Sciences leads a team in strategic initiatives, drives machine learning and AI solutions, and manages resources to enhance data-driven decision making across the business unit.

The Senior Manager of Data Science will lead a team to develop AI systems utilizing LLMs and RAG architectures for legal applications, oversee technical execution, and drive strategy in AI-driven legal technology, while mentoring team members and collaborating with cross-functional teams.

Develop and research AI/ML features for IP analytics: build reusable evaluation frameworks, deliver AI-powered features, contribute to AWS/Terraform platform infrastructure, participate in code reviews and Scrum processes, and apply GenAI and agentic systems knowledge.

Intern will assist the Carbon Quantitative team in developing analytics for the European carbon market, focusing on data insights and trading behaviour.

Lead AI and machine learning projects, mentoring junior data scientists, analyzing large datasets, and collaborating with cross-functional teams to align solutions with business goals.

The Lexis Associate position is for law students assisting in enabling legal professionals with technology solutions and business information.

The Legal Editor is responsible for editing and improving legal research content, coordinating with editorial teams, and enhancing customer-focused content development. Strong legal background and editing skills are preferred.

The Conversion Engineering-Global Content Consultant role focuses on consulting Global Data Conversion Software Engineering, improving processes, and implementing AI solutions. Responsibilities include supporting offshore teams, driving project completion, and creating documentation for standards.

Design and implement Azure-based infrastructure for AI applications, collaborate with teams, and manage performance and security of solutions.