Consultant, Advanced Technologies, Antitrust

Epiq

Multiple Locations
Base: 110,000 - 130,000 usd annually; bonus/equity...
On-site
Machine learning and generative ai for antitrust
Epiq ai and relativity ai proficiency
Llm prompt crafting and evaluation
Epiq is seeking a Consultant for Advanced Technologies, focusing on antitrust compliance using machine learning and generative AI. The role involves advising clients, creating analytical models, and collaborating with various internal teams to ensure project success while requiring significant client-facing experience in eDiscovery

Job Summary

  • Your work contributes to complex, global legal outcomes within a values-driven community at Epiq.
  • The Consultant will advise clients on defensible workflows and serve as a subject matter expert for the application of machine learning and generative AI tools to data sets.
  • Epiq invests in your growth with enterprise-wide learning and mobility, celebrating who you are and respecting life beyond work with flexibility.

Matching Summary

Match Score: 85

Epiq is seeking a Consultant for Advanced Technologies, focusing on antitrust compliance using machine learning and generative AI. The role involves advising clients, creating analytical models, and collaborating with various internal teams to ensure project success while requiring significant client-facing experience in eDiscovery.

Salary

Base: 110,000 - 130,000 USD annually; Bonus/Equity: May be eligible for an annual bonus; Benefits: Not specified

Skills & Requirements

Must-have

  • Machine learning and generative AI for antitrust
  • Epiq AI and Relativity AI proficiency
  • LLM prompt crafting and evaluation
  • eDiscovery lifecycle understanding
  • Client-facing consulting experience

Nice-to-have

  • Thought leadership and speaking roles
  • Business development support
  • Mentoring colleagues
  • Creative problem solving

Key Requirements

  • Minimum 5 years of client-facing eDiscovery experience
  • Proficiency in Relativity (Server or RelativityOne)
  • Experience with Technology Assisted Review (TAR)
  • Strong understanding of Large Language Models (LLMs)
  • Bachelor's degree (advanced degree preferred)

Work Rights

Not specified

Tailored Resume

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