Legal Data Specialist

Key Responsibilities:

Data Preservation & Collection:

• Execute preservation and collection activities across enterprise data sources.
• Identify, preserve, and collect data from Microsoft 365, Exchange Online, Teams, Share Point Online, One Drive, Slack, cloud-based repositories, structured data platforms, and approved third-party applications.
• Support legal hold implementation, tracking, compliance monitoring, release procedures, and related documentation.
• Conduct quality control reviews of preservation and collection activities to ensure completeness, accuracy, and defensibility.
• Validate chain-of-custody records and maintain comprehensive documentation.
• Troubleshoot preservation and collection issues and coordinate with technical and business stakeholders to remediate.
• Support global data preservation and collection under supervision.

Data Management & Readiness:

• Analyze datasets for quality, completeness, consistency, and usability.
• Develop and maintain data inventories, repository profiles, preservation records, collection logs, and other operational documentation.
• Perform data normalization, validation, and preparation activities.
• Support enterprise data mapping and governance initiatives.
• Develop and maintain operational metrics, dashboards, and/or reporting that measure performance, quality, and compliance.
• Conduct root-cause data and process issues and recommend corrective actions.
• Support defensible disposition programs and legal data lifecycle management activities.

AI & Advanced Analytics Enablement:

• Prepare, validate, and optimize datasets for AI-assisted review and analytics.
• Support metadata validation, entity extraction, classification, enrichment, and other data quality activities.
• Participate in testing and validating AI-assisted collection and review technologies.
• Contribute to the evaluation of emerging AI and legal data discovery technologies.
• Monitor data quality, metadata integrity, and system performance to maximize the effectiveness of AI-driven workflows.
• Assist in developing best practices for responsible and defensible use of AI within Legal Operations.

Process Improvement & Operational Excellence:

• Identify opportunities to automate, streamline, and modernize legal data and e Discovery processes.
• Adhere to and maintain standard operating procedures (SOPs), playbooks, and workflow documentation.
• Support operational excellence initiatives through data-driven analysis and performance measures.
• Track key operational metrics and recommend optimizations.

Stakeholder Support & Communication:

• Build and maintain strong working relationships across legal and business teams.
• Translate technical and legal data concepts into clear and actionable business language.
• Coordinate with external vendors and service providers to ensure successful service delivery and operational outcomes.
• Support the creation of training and knowledge sharing initiatives.
• Collaborate globally while adhering to privacy and cross-border data requirements.