BENGALURU · FULLTIME
Legal Data Specialist

IBM
Bengaluru · onsite · Posted 1d ago
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Undisclosed3–12 yrsfulltimeBengaluru
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Section · 01
About this role
Your Role and Responsibilities:
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, SharePoint Online, OneDrive, 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 eDiscovery 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.
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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.
Required Education:
Bachelor's Degree
Preferred Education:
Master's Degree
Required Technical and Professional Expertise:
Required Professional and Technical Expertise
Experience
- 3-5 years of eDiscovery, legal technology, information governance, or records management experience.
- 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, preservation, collections, and chain-of-custody processes.
- Knowledge of metadata, file systems, structured and unstructured data, and EDRM principles.
- Strong analytical, reporting, organizational, and communication skills.
- Experience with metrics, dashboards, process improvement, and workflow modernization.
- Familiarity with AI, machine learning, and advanced analytics concepts.
Preferred Technical and Professional Experience:
Preferred Skills
- Microsoft Purview eDiscovery Premium experience.
- ACEDS certification or equivalent.
- Knowledge of GDPR and cross-border privacy requirements.
- Experience with enterprise archiving and information governance programs.
- Familiarity with SQL, data analytics, reporting tools, or scripting.
Years of Experience:3 - 12
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Section · 02
Skills
data qualitydata platformsGdprExchange Onlineclassificationdata mappinge-discoveryfile systemsAnalyticsCompliance MonitoringData AnalyticscloudCommunication SkillsData ManagementAdvanced AnalyticsLegalcomplianceArtificial Intelligence
Section · Company
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