Jobs at Epiq

Coordinates transcript production by allocating work, preparing and finalizing transcripts, quality-checking audio and text, delivering files to clients, maintaining order and billing information, and supporting transcribers and managers. The role also assists with training, quality assessments, jurisdiction coverage, communications, and operational projects while providing management coverage when needed.

Build trusted legal AI product experiences using React and TypeScript. Develop search interfaces, grounded AI answer views, document previews, citations, agent workflows, dashboards, feedback tools, and embedded Microsoft 365 components. Collaborate with lawyers, clients, AI engineers, retrieval architects, and Azure specialists to translate complex retrieval capabilities into secure, accessible, enterprise-grade applications. Shape product requirements, understand legal workflows, integrate APIs and permissions, and guide solutions from prototype through production.

Provides client-facing consulting on defensible applications of analytics, machine learning, generative AI, and technology-assisted review in eDiscovery and legal data workflows. Designs, configures, validates, and explains AI-enabled review solutions across platforms such as Relativity and Reveal AI. Advises on workflow strategy, privilege, quality control, statistical validation, and defensibility while managing projects, collaborating cross-functionally, mentoring colleagues, and supporting demonstrations and business development.

Serve as a trusted, client-facing Technical Account Manager for Cloud Managed Services, providing strategic guidance on eDiscovery, legal technology, information governance, and cloud solutions. Build relationships, drive adoption and customer success, coordinate issue resolution, lead client reviews, and collaborate with internal teams to optimise service delivery and expand client use of Epiq solutions.

Client-facing role designing legal workflows and AI-enabled solutions. Translate lawyer needs into LLM-based agents, prototypes, and governed workflows; document requirements; evaluate outputs; coordinate data, document, and change teams; and drive adoption and measurable value for law firm clients.