Consultant, Advanced Technologies, Antitrust

Primary Responsibilities

• Serves as subject matter expert on the use of predictive coding (TAR 1.0 and 2.0) and AI for compliance with regulatory requests, investigations, and litigation.
• Works independently through challenges and roadblocks with creative problem solving but collaborates within the larger Global Investigations Practice Group team.
• Consults with external stakeholders to determine appropriate analytics tools, workflows, and required deliverables.
• Creates models in Epiq AI ("EAI"), Relativity aiR, and Relativity Active Learning with proficiency in developing the models and advise on use-case scenarios.
• Develops prompts/instructions for AI tools (chat and classification).
• Articulates statistical measurements and considerations to varying levels of technically proficient clients (written and oral communication).
• Remains abreast of changes in the regulatory environment that impact compliance.
• Drafts recommended protocols and respond to regulatory specification requests.
• Documents and transfers all applicable knowledge to the Managed Review and Client Services teams to aid in efficient technology assisted review workflows.
• Maintains subject matter expertise through continued education and certifications in the analytics platforms deployed by Epiq.
• Pursues opportunities for thought leadership, through speaking roles and authorship.
• Occasionally supports business development activities through demonstrations, training, and client presentation or meeting attendance in a pre-sales capacity.

Required and Preferred Qualifications

• Bachelor’s degree (advanced degree, such as JD or MBA, preferred).
• Second Request (DOJ or FTC) experience strongly preferred.
• Eastern time zone availability (strongly preferred).
• Minimum 5 years of client-facing experience in an eDiscovery capacity.
• Proficiency in Relativity (Server or RelativityOne) and the administration of document review databases generally (certification preferred).
• Experience with Technology Assisted Review utilizing machine learning and/or GenAI tools for eDiscovery.
• Strong understanding of Large Language Models.
• Experience crafting prompts for LLMs (Copilot, Claude, Gemini, Harvey, et al.) and evaluating responses to fine tune results.
• Familiarity with Relativity Active Learning, Reveal AI, Brainspace, or other similar TAR/AI tools used to reduce data volumes and organize data for review (certification preferred).
• Proficiency with Microsoft O365, Power BI, Python, SQL experience preferred.
• Exceptional verbal and written communication.
• Excellent issue-spotting and problem-solving.
• Willingness to go above and beyond client expectations.

Compensation and Benefits

The compensation range for this role is $110,000 to $135,000 USD annually and may be eligible for an annual bonus. Your specific salary will be determined based on several factors: Location-based market rate for the role, Your abilities in relation to the job specification, Performance during screening and interview, Pay parity with the wider team in the considered location.

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team. Click Here To Learn About Epiq's Benefits.