Legal Data Specialist

Listing expiry: 20 October 2026

About the role

Role Overview

The role supports global eDiscovery and legal data operations for litigation, investigations, regulatory matters, and other legal proceedings. It focuses on identifying, preserving, collecting, validating, and managing enterprise data while maintaining defensible processes and accurate documentation. The position also supports AI-enabled legal review and analytics, information governance, operational reporting, and continuous improvement in legal data workflows.

Key Responsibilities

• Execute data preservation and collection activities across enterprise data sources, including Microsoft 365, Exchange Online, Teams, SharePoint Online, OneDrive, Slack, cloud repositories, structured data platforms, and approved third-party applications.
• Support legal hold implementation, tracking, compliance monitoring, release procedures, and associated documentation.
• Conduct quality-control reviews to ensure preservation and collection activities are complete, accurate, and defensible.
• Validate chain-of-custody records and maintain comprehensive documentation.
• Troubleshoot preservation and collection issues and coordinate with technical and business stakeholders to resolve them.
• Support global data preservation and collection activities under supervision.
• Analyse datasets for quality, completeness, consistency, and usability.
• Maintain data inventories, repository profiles, preservation records, collection logs, and operational documentation.
• Perform data normalisation, validation, and preparation, and support enterprise data mapping and governance initiatives.
• Develop and maintain operational metrics, dashboards, and reports measuring performance, quality, and compliance.
• Investigate data and process issues, recommend corrective actions, and support defensible disposition and legal data lifecycle management.
• Prepare, validate, and optimise datasets for AI-assisted review and analytics.
• Support metadata validation, entity extraction, classification, enrichment, and other data-quality activities.
• Test and validate AI-assisted collection and review technologies and contribute to evaluating emerging AI and legal data discovery tools.
• Monitor data quality, metadata integrity, and system performance to support effective AI-driven workflows.
• Assist in developing best practices for responsible and defensible use of AI within Legal Operations.
• Identify opportunities to automate, streamline, and modernise legal data and eDiscovery processes.
• Maintain standard operating procedures, playbooks, and workflow documentation and support operational excellence initiatives.
• Track key operational metrics and recommend process optimisations.
• Build relationships across legal and business teams and translate technical and legal data concepts into clear, actionable business language.
• Coordinate with external vendors and service providers to support service delivery and operational outcomes.
• Support training and knowledge-sharing initiatives and collaborate globally while observing privacy and cross-border data requirements.

Qualifications & Experience

• Three to five years of experience in eDiscovery, legal technology, information governance, or records management.
• Proficiency with Relativity, Reveal, Everlaw, Nuix, or comparable platforms.
• Strong understanding of Microsoft Purview, Microsoft 365, SharePoint, Google Vault, Box, Slack, and OneDrive.
• Experience with legal holds, data preservation, collections, and chain-of-custody processes.
• Knowledge of metadata, file systems, structured and unstructured data, and EDRM principles.
• Strong analytical, reporting, organisational, and communication skills.
• Experience with metrics, dashboards, process improvement, and workflow modernisation.
• Familiarity with AI, machine learning, and advanced analytics concepts.

Additional Details

• A master's degree is preferred.
• Experience with Microsoft Purview eDiscovery Premium is preferred.
• ACEDS certification or equivalent is preferred.
• Knowledge of GDPR and cross-border privacy requirements is preferred.
• Experience with enterprise archiving and information governance programmes is preferred.
• Familiarity with SQL, data analytics, reporting tools, or scripting is preferred.