Legal Data Specialist

IBM; Bengaluru; On-site; INR 1,200,000 - 1,900,000; Full time

Job summary

IBM Bengaluru, India seeks a specialist in eDiscovery and data governance to lead preservation and collection across enterprise data sources. You will work with Microsoft 365, SharePoint, Slack, OneDrive, and other platforms, ensuring defensible processes, proper chain-of-custody, and compliant data handling.

The role emphasizes collaboration with legal and IT teams, analysis of data quality, and supporting AI-enabled analytics while maintaining SOPs and metrics to drive operational excellence.

Qualifications

• 3-5 years in eDiscovery, legal tech, information governance, or records management.
• Proficiency with Relativity, Reveal, Everlaw, Nuix, or similar platforms.
• Strong knowledge of Microsoft Purview, 365, SharePoint, Google Vault, Box, Slack, and OneDrive.
• Experience with legal holds, preservation, collections, and chain-of-custody.
• Knowledge of metadata, file systems, structured and unstructured data, and EDRM principles.
• Strong analytical, reporting, organizational, and communication skills.
• Familiarity with AI, machine learning, and advanced analytics concepts.
• ACEDS certification or equivalent.

Responsibilities

• 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.
• 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 evaluation of emerging AI and legal data discovery technologies.
• Monitor data quality, metadata integrity, and system performance to maximize AI-driven workflows.
• Assist in developing best practices for responsible and defensible use of AI within Legal Operations.
• Identify opportunities to automate, streamline, and modernize legal data and eDiscovery processes.
• Adhere to and maintain SOPs, playbooks, and workflow documentation.
• Support operational excellence initiatives through data-driven analysis and performance measures.
• Track key operational metrics and recommend optimizations.
• 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.

Skills

Relativity

Everlaw

Nuix

Microsoft Purview

Microsoft 365

SharePoint

Google Vault

Slack

OneDrive

AI / ML concepts

Analytics

Data governance

Chain-of-custody

Education

Bachelor's Degree

Master's Degree

Tools

Relativity

Reveal

Everlaw

Nuix

Job description

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.

• Familiarity with SQL, data analytics, reporting tools, or scripting.

Years of Experience: : - 3- 12