Job Title: Consultant, Advanced Technologies, Antitrust
Job Responsibilities:
- Serve as a subject matter expert on predictive coding (TAR and ) for compliance with regulatory requests, investigations, and litigation.
- Work independently through challenges and collaborate within the larger Antitrust Practice Group team.
- Consult with external stakeholders to determine appropriate analytics tools, workflows, and required deliverables.
- Create models in AI Discovery Assistant, Reveal AI, Brainspace, and Relativity Active Learning, advising on use-case scenarios.
- Develop prompts/instructions for AI tools (chat and classification).
- Articulate statistical measurements and considerations to clients with varying levels of technical proficiency.
- Stay informed about changes in the regulatory environment impacting compliance.
- Understand the eDiscovery lifecycle and identify headwinds for AI processes and critical paths for review and production.
- Draft recommended protocols and respond to regulatory specification requests.
- Document and transfer knowledge to Managed Review and Client Services teams to aid in efficient technology-assisted review workflows.
- Maintain subject matter expertise through continued education and certifications in analytics platforms.
- Mentor colleagues and serve as an internal subject matter expert to broaden the company's analytics knowledge.
- Pursue opportunities for thought leadership through speaking roles and authorship.
- Occasionally support business development activities through demonstrations, training, and client presentations or meetings.
Education and Experience Information:
- Bachelor’s degree required; advanced degree such as JD or MBA preferred.
- Minimum 5 years of client-facing experience in an eDiscovery capacity.
- Experience with Technology Assisted Review utilizing machine learning and/or GenAI tools for eDiscovery.
- Experience crafting prompts for LLMs like CoPilot, Claude, Gemini, Harvey, etc.
- Proficiency in Relativity (Server or RelativityOne) and administration of document review databases; certification preferred.
- Familiarity with Relativity Active Learning, Reveal AI, and/or Brainspace; certification preferred.
- Proficiency with Microsoft O365; experience with Power BI, Python, SQL preferred.
- Skill in synthesizing complex solutions into cogent explanations.
- Exceptional verbal and written communication skills.
- Excellent issue-spotting and problem-solving abilities.
- Willingness to exceed client expectations.
- Second Request (DOJ or FTC) experience strongly preferred.
- Eastern time zone availability preferred.
Salary Information:
The compensation range for this role is between $125, to $160, USD annually and may be eligible for an annual bonus. Specific salary will be determined based on various factors, including location-based market rate, abilities in relation to the job specification, performance during screening and interview, and 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.
Company's Equal Employment Opportunity Statement:
The company complies with all applicable equal employment opportunity laws. Employment decisions are made without unlawful regard to race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status, or any other basis protected by applicable law. The company prohibits unlawful discrimination based on any of these impermissible bases and takes affirmative action for minorities, women, covered veterans, and individuals with disabilities. Assistance or accommodation during the application process is available upon request for individuals with disabilities. Qualified applicants with arrest and conviction records will be considered for employment pursuant to relevant law.
