Top Tech Jobs & Startup Jobs

Serve as a subject-matter expert for LexisNexis IP products to drive adoption and revenue through presentations, training, demos, account growth, sales support, and competitive research.

Design, build, and maintain data transfers and databases. Produce efficient, reusable data engineering code, perform data modeling, UAT, data cleaning, reporting, and technical documentation. Collaborate with stakeholders, participate in code reviews, and improve automation and processes to meet business requirements.

The Lexis Associate position is a student representative role for currently enrolled law school students, focused on supporting LexisNexis content and solutions.

The Lexis Associate position is for law students to represent LexisNexis, providing support and guidance to peers regarding legal research and resources.

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.

Build and productionize LLM-powered applications, agent workflows, and RAG pipelines for legal workflows. Engage customers to define problems, prototype solutions, and enable engineering teams with reusable AI patterns, observability, and tooling. Collaborate cross-functionally to deploy cloud-native AI systems and improve developer adoption.

Lead multiple agile engineering teams building an Enterprise Legal Management platform. Drive cross-team delivery, provide technical oversight, ensure code quality, CI/CD and secure development, champion AI tools, oversee architecture, integrations, hiring, and continuous improvement.

Lead design, optimization, and management of large-scale database systems and backend platforms. Build data models, schemas, indexes, and ETL pipelines; write and tune complex SQL; develop stored procedures and Java data access layers; debug production issues and optimize performance; automate operations with shell scripts in Linux/Unix environments; provide technical leadership and best-practice guidance across data engineering initiatives.

Lead design and deployment of custom legal workflows and vault templates for large law firms. Partner with firm stakeholders and sales/post-sales to define scope, run pilots, drive adoption, surface product gaps, and collaborate with product, engineering, and UX to deliver AI-enabled legal solutions and rollout resources.

Lead modernization of patent data processing workflows by owning roadmaps, designing AI-native automation (LLMs, NLP, CV), running discovery and experiments, defining requirements and success metrics, analyzing operational telemetry, and driving adoption and realized cost/productivity outcomes in a regulated, hybrid environment.