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A leading company in Legal Technology and eDiscovery Services is looking for a subject matter expert in predictive coding. With a supportive work environment, this position offers competitive compensation and opportunities for remote work. Ideal candidates should possess significant eDiscovery experience and proficiency in key analytics tools, including Relativity.
Employer Industry: Legal Technology and eDiscovery Services
Why consider this job opportunity:
- Salary up to $160,000 annually, with potential for an annual bonus
- Opportunity for career advancement and growth within the organization
- Work remotely, offering flexibility in your work environment
- Engage in innovative projects utilizing advanced analytics and AI technologies
- Supportive and collaborative work environment with a focus on mentorship and thought leadership
What to Expect (Job Responsibilities):
- Serve as a subject matter expert on predictive coding for compliance with regulatory requests and investigations
- Collaborate with external stakeholders to determine appropriate analytics tools and workflows
- Create and develop models in various AI and analytics platforms
- Document and transfer knowledge to support efficient technology-assisted review workflows
- Mentor colleagues and pursue opportunities for thought leadership through speaking and writing
What is Required (Qualifications):
- Bachelor’s degree; advanced degree (JD or MBA) preferred
- Minimum 5 years of client-facing experience in an eDiscovery capacity
- Proficiency in Relativity and administration of document review databases
- Experience with Technology Assisted Review and machine learning tools for eDiscovery
- Exceptional verbal and written communication skills
How to Stand Out (Preferred Qualifications):
- Experience with crafting prompts for large language models (LLMs)
- Familiarity with Power BI, Python, and SQL
- Second Request (DOJ or FTC) experience
- Certification in analytics platforms such as Relativity Active Learning or Reveal AI
- Willingness to exceed client expectations and demonstrate problem-solving skills
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