AI-Enabled Legal Engineer: Frontline Client Solutions

AI-Enabled Legal Engineer: Frontline Client Solutions

Full-Time 67500 - 82500 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Redesign legal work using AI workflows and collaborate with law firms.
  • Company: Epiq Advisory, a leader in innovative legal solutions.
  • Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on transforming legal processes.
  • Why this job: Make a real difference in the legal field with cutting-edge AI technology.
  • Qualifications: JD or equivalent training and experience in building AI agents.

The predicted salary is between 67500 - 82500 Β£ per year.

Epiq Advisory for Law Firms seeks a Forward Deployed Legal Engineer to help law firm clients redesign legal work through AI-enabled workflows.

This client-facing role requires JD or equivalent training and hands-on experience building AI agents that support lawful, defensible processes.

Work with multiple teams to identify high-value use cases, design agentic workflows, and guide adoption with practical, governance-aligned solutions.

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AI-Enabled Legal Engineer: Frontline Client Solutions employer: Epiq

Epiq is an exceptional employer that fosters a collaborative and innovative work culture, where Senior Legal Tech Consultants can thrive while making a global impact. With a strong emphasis on professional development, employees are encouraged to grow their skills and advance their careers in a supportive environment. Located in a vibrant area, Epiq offers unique advantages such as flexible working arrangements and a commitment to work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.

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Contact Details:

Epiq Recruitment Team

We think you need these skills to ace AI-Enabled Legal Engineer: Frontline Client Solutions

JD or equivalent training
Experience building AI agents
Client-facing skills
Workflow design
Governance alignment
Collaboration with multiple teams
Identifying high-value use cases