Epiq Global provides government agencies, financial institutions, corporations, and law firms across the world with high-quality legal services. Headquartered in New York, New York
Consultant, Advanced Technologies, Antitrust
Location
New York + 4 moreAll locations: New York | Kansas | Florida | Georgia | District Of Columbia
Posted
24 days ago
Salary
$110K - $130K / year
Seniority
Senior
Job Description
Consultant, Advanced Technologies, Antitrust
Epiq Global
Consultant, Advanced Technologies, Antitrust Remote: Work from Home Full-Time locations New York, NY Kansas City, KS Tampa, FL Atlanta, GA Washington, DC time type Full time Job Description: Position Summary Epiq’s Advanced Technologies Consultants assist clients with their Antitrust compliance needs through the use of advanced analytics, primarily machine learning and generative AI. Working closely with the Associate Director and the larger Antitrust practice group, the Consultant will advise clients on defensible workflows and serve as a subject matter expert for the application of machine learning and/or generative AI tools to data sets. The Consultant will work closely with Client Services and Document Review Services to ensure overall success and will coordinate with many internal resources, including Sales, Client Services, Managed Review, and Information Technology. The Advanced Technologies Consultant must be able to deliver on multiple projects concurrently. Evening and weekend work is to be expected around project deadlines and other fast-moving projects (e.g., Second Requests). 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 - Demonstrates understanding of the eDiscovery lifecycle with the ability to identify headwinds for the AI processes and critical path for review and production - 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 - Mentors colleagues and serve as internal subject matter expert to broaden Epiq’s analytics knowledge - 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: - Most clients prefer EST Time Zone hours of availability - 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 - Skill for synthesizing complex solutions into cogent explanations - Exceptional verbal and written communication - Excellent issue-spotting and problem-solving - Willingness to go above and beyond client expectations #LI-TP1 The Compensation range for this role is 110,000 to 130,000 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 Epiq Leadership Compass Fosters Relationships & Collaboration Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success. - Build trust-based partnerships - Nurture long-term relationships - Remove collaboration barriers - Celebrate cross-team success Engages & Influences Inspires action and alignment through clear communication, purposeful influence, and a compelling vision. - Use storytelling to build buy-in - Align communication with organizational goals - Guild alignment through strong engagement Maximizes Performance Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq’s goals. - Use data to identify improvement opportunities - Make informed decisions - Align team goals with boarder strategy - Empower teams to manage their own goals - Translate vision into clear priorities - Prepare for disruptions with strong change management Achieves Operational Success Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution. - Improve workflows for team efficiency - Use clear documentation and expectations - Resolve issues quickly using data and feedback
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