Senior Review Manager
EpiqAbout the role
It's fun to work at a company where people truly believe in what they are doing!
Job Description:
Job Title: Senior Review Manager, Document Review Services
Location: Remote, United States
Business Unit: Legal Solutions
Reports to: Director, Document Review Services
Position Summary
The Document Review Services Review Manager provides project management and consultation on managed document review projects for corporations and law firms. The Senior Review Manager must have a strong understanding of the Electronic Discovery Reference Model and a high level of proficiency with the technologies used to increase efficiencies, drive down costs, and deliver exceptional service to our clients. The Senior Review Manager must be able to effectively maintain a caseload including multiple active projects, as well as serve as a primary contact for key enterprise accounts.
The Senior Review Manager will represent the mission, vision, and values of Epiq and will exhibit exemplary professional behavior across all spheres of the Epiq business. They will support the Document Review Services leadership in providing the appropriate level of consultation and expertise. The Senior Review Manager role demonstrates a blend of technical, analytical, and problem-solving skills as well as empathy and compassion, creating a positive culture and work environment for their team, including as it relates to diversity, equity, and inclusion.
Primary Responsibilities:
- Serve as primary point of contact for clients during managed document review projects.
- Conduct project design meetings and consult with clients on the development and implementation of efficient and effective workflows.
- Determine and manage client expectations regarding deliverables and timeframes.
- Draft workflow protocols and substantive training guidelines in partnership with case team.
- Implement workflows within various document review platforms, including the creation of batch sets, fields, choices, layouts, views, rules, security, persistent highlighting sets, and search term reports.
- Leverage the appropriate technology to improve productivity and accuracy, including the use of structured and conceptual analytics such as email threading, near-duplicate identification, and clustering.
- Consult on application of artificial intelligence to identify documents for review and managing review teams whose review will be used to build algorithms and models.
- Execute quality control and quality assurance best practices, including the use of statistical sampling, advanced searching techniques, and application of custom scripts.
- Communicate and document substantive issues to the case team through the creation and maintenance of a query log.
- Monitor and report daily on overall progress, productivity, and accuracy of the project and individual contract lawyers including performance to budget.
- Lead and motivate review teams, including lawyers and non-lawyers.
- Train reviewers on the use of document review platforms, including the identification and mentoring of Team Leads.
- Ensure clients are frequently informed on performance to budget and any potential changes to original budget estimate.
- Coordinate case team quality control with review teams and clients.
- Identify and define production or disclosure sets and work with case team and operations to ensure that disclosure sets are accurate and delivered per client specifications.
- Generate and deliver additional deliverables such as privilege logs.
Qualifications:
- Juris Doctorate (JD) degree and valid/active state bar association admission in any US jurisdiction.
- Legal qualification and practice in at least one jurisdiction required.
- Minimum five (5) years of project management experience in an e-Discovery capacity. Law firm or managed review vendor experience preferred.
- Understanding of concepts, principles, management, processing, review, analysis and production of electronically stored information (ESI) as they relate to legal matters.
- Extensive experience with the administration of document review databases, including Relativity.
- Familiarity with concepts and application of statistical sampling, email threading, near duplicate identification, clustering, and predictive coding.
- Experienced in implementing analytics-driven methodologies, including, but not limited to, standard active learning and continuous active learning.
- Experienced
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