Senior eDiscovery Analytics Lead providing technical support and legal assistance for federal agency projects. Using Relativity and electronic discovery technology to solve complex challenges.
Responsibilities
As a Senior eDiscovery Analytics Lead for Contact Government Services, you will be using your legal experience to aid a large federal agency in achieving its mission.
You will be providing electronic discovery technical support and assisting with strategic and legal aspects using Relativity.
Performs analysis, development, and implementation of processing approaches for electronic files.
Consult with attorneys and support staff for conforming to ESI specifications and, as required, participate in teleconferences with co-counsel, client agencies, and opposing counsel upon attorney request.
Responsible for ensuring that incoming and outgoing productions are made pursuant to the applicable ESI specifications and when deficiencies are found, provides case attorney with detailed notice of deficiencies.
Performs advanced analytics in Relativity.
Creates, troubleshoots, and repairs Active Learning Projects in Relativity.
Provides input on technology options to respond to specific discovery.
Ensures standard procedures for electronic discovery and litigation support projects are consistently applied across the life of the case.
Creates statistical reports providing information on collection, filtering, processing, review, and production.
Stays abreast of emerging electronic discovery litigation support technology and processes.
Maintains current knowledge of available software applications and in area(s) of expertise.
Contributes to regular briefings on new technology and process improvements with regard to electronic discovery.
Generates custom PowerShell scripts.
Creates/supports Case Map / Text Map databases
Requirements
A minimum of 5 years of experience providing eDiscovery services and litigation support on complex and large cases involving complex eDiscovery challenges.
Thorough knowledge of the litigation discovery process, and the EDRM workflow.
Advanced knowledge of Relativity (front end and back end).
Demonstrated ability to generate complex PowerShell scripts.
Advanced hands-on experience with Active Learning.
Have demonstrated exceptional written and verbal communication skills.
Possess detailed planning and organizational skills and have a thorough understanding of processes at each stage of the eDiscovery lifecycle.
Prior knowledge and experience managing eDiscovery projects and related technologies is required.
Ability to work in a fast-paced environment and meet deadlines.
Work as part of a team to be able to manage complex relationships with all stakeholders.
Be well organized, a strong communicator, detail-oriented, demonstrate good judgment, and be confident working independently.
Undergraduate degree required and 5+ years of prior relevant experience. Law degree, technical certification, or other pertinent graduate degree strongly preferred.
Must be a United States Citizen.
Benefits
Health, Dental, and Vision
Life Insurance
401k
Flexible Spending Account (Health, Dependent Care, and Commuter)
Paid Time Off and Observance of State/Federal Holidays
Data Scientist II performing analytics and modeling to improve fraud strategies at Truist. Engaging with stakeholders and developing data - driven solutions for risk management and business outcomes.
Data Assessor utilizing best data science practices for member relations improvement. Building and managing machine learning models to derive insights and enhance service effectiveness.
Senior Data Scientist developing and maintaining predictive models to support business decisions. Collaborating with engineering teams to deploy models and ensure data quality in Mexico.
Analytics & Data Science Working Student contributing to data insights and reporting at 4screen. Collaborating with stakeholders and developing dashboards, reports, and analytical tools for decision - making.
Data Manager leading a team of engineers to enhance data architecture and analysis capabilities at Huckberry. Overseeing data projects to meet business goals while ensuring quality and efficiency.
Senior Associate Data Scientist at Capital One applying AI on large datasets for decision - making and customer engagement. Collaborating with teams to build innovative AI - driven solutions.
Lead product marketing data strategy, ensuring quality data flows across all channels and supporting the Group's marketing performance on an international scale.
Data Scientist developing data pipelines and machine learning algorithms in an AI - focused team. Collaborating with engineers to drive data - driven insights in Guadalajara, Jalisco, Mexico.
Data Scientist Intern supporting data analysis and machine learning in healthcare SaaS environment. Collaborating with experienced data scientists to enhance operational efficiency.
Data Scientist responsible for analytical insights in Lending Analytics and Credit Risk. Utilizing machine learning and data modeling to improve organizational impact while managing credit risk.