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    Job · 19689997

    IBM logo

    Legal Data Specialist

    IBM · Bengaluru · onsite · Posted 23d ago

    Undisclosed3–12 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    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.

    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.

      Sourced from naukri

      Skills

      data qualitydata platformsGdprExchange Onlineclassificationdata mappingcursore-discoveryfile systemsAnalyticsCompliance MonitoringcloudCommunication SkillsData ManagementAdvanced AnalyticsLegalcomplianceArtificial Intelligence

      About IBM

      IBM logo

      IBM

      IT Services & Consulting

      130k+

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      1911

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      Bangalore / Bengaluru, Karnataka

      India

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