Legal Data Technical Specialist

IBM

Bengaluru

On-site

INR 1,500,000 - 2,100,000

Full time

5 days ago
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Job summary

IBM India Pvt Ltd in Bengaluru seeks a seasoned eDiscovery/Legal AI technologist to manage platform operations and advanced analytics. You will support Relativity, Everlaw, Nuix, Purview, and related tools, while driving automation, data processing, and AI-driven review workflows.

The role emphasizes governance, security, and cross-team collaboration with legal and IT stakeholders to advance TAR, CAL, and predictive coding initiatives.

Qualifications

  • 4–12 years in eDiscovery tech, litigation support, or legal tech.
  • Advanced proficiency with Relativity, Reveal, Everlaw, Nuix or comparable tools.
  • Experience with TAR, CAL, active learning, and AI-assisted review workflows.
  • Experience with automation, APIs, integration, and workflow orchestration.
  • Strong troubleshooting, communication, and stakeholder management.

Responsibilities

  • Provide technical support for eDiscovery apps and coordinate issue resolution with vendors and internal teams.
  • Maintain SOPs, knowledge bases, user guides, and troubleshooting resources.
  • Ensure platform configs comply with governance, SOPs, and security controls.
  • Support internal users on platforms like Relativity, RelativityOne, Reveal, Everlaw, Nuix, Disco, Purview.
  • Configure workspaces, security groups, permissions, layouts, workflows, searches, and review environments.
  • Support AI enablement: TAR, CAL, predictive coding, clustering, and analytics.
  • Develop validation methodologies and QA processes for AI-assisted reviews.
  • Measure adoption, performance, accuracy, recall, and precision for AI governance.
  • Engage stakeholders to identify practical AI use cases across the eDiscovery lifecycle.
  • Contribute to data processing, ingestion, and production workflows.

Skills

eDiscovery platforms
AI-enabled review
Automation & scripting
APIs & integrations
Stakeholder management

Education

Bachelor's degree
Master's degree

Tools

Relativity
Reveal
Everlaw
Nuix
Purview

Job description

Your role and responsibilities
Key Responsibilities
Platform Administration Operations
  • Provide technical support for eDiscovery applications and coordinate issue resolution with external vendors and internal teams.
  • Maintain comprehensive technical documentation, standard operating procedures (SOPs), knowledge base articles, user guides, and troubleshooting resources.
  • Ensure platform configurations and workflows comply with SOPs, governance requirements, and security controls.
  • Support internal users with questions regarding the use of eDiscovery platforms such as Relativity, RelativityOne, Reveal, Everlaw, Nuix, Disco, Microsoft Purview, and other approved legal technology platforms.
  • Configure and maintain workspaces, security groups, user permissions, coding layouts, workflows, batching strategies, searches, and review environments as needed.
Advanced Analytics AI Enablement
  • Support the implementation and operationalization of generative AI technologies, large language models (LLMs), intelligent document review, summarization, and legal analytics solutions.
  • Develop validation methodologies, quality assurance processes, and defensibility standards for AI-assisted review workflows.
  • Conduct pilot programs and proof-of-concept initiatives to evaluate and benchmark emerging eDiscovery technologies and analytics capabilities.
  • Measure and analyze adoption, performance, accuracy, recall, precision, and performance metrics to support AI governance and technology investment decisions.
  • Partner with legal and technology stakeholders to identify practical use cases for AI across the eDiscovery lifecycle.
  • Support the execution of advanced analytics workflows including TAR, Continuous Active Learning (CAL), predictive coding, clustering, conceptual analytics, communication analysis, near-duplicate identification, email threading, and Early Case Assessment.
Workflow Automation Technical Innovation
  • Develop scalable automation solutions that reduce manual effort and improve efficiency.
  • Leverage APIs, scripting languages, workflow orchestration tools, low-code platforms, and system integrations to streamline legal operations processes.
  • Support integrations between eDiscovery platforms, Microsoft 365, Google Vault, Purview, legal hold technologies, and enterprise data sources.
  • Participate in technology modernization initiatives including platform migrations, process redesign initiatives, and AI-enabled transformation programs.
  • Contribute technical requirements for solution designs and testing strategies for new legal technology implementations.
  • Promote best practices related to automation, monitoring, workflow standardization, and continuous improvement.
Data Processing, Integration Technical Architecture
  • Support ingestion and processing of structured, unstructured, cloud, mobile, collaboration, and forensic data sources.
  • Assist in the design and optimization of data pipelines for legal data collection, processing, review, and production activities.
  • Troubleshoot complex data issues related to metadata, processing exceptions, file format inconsistencies, and system interoperability.
  • Support API integrations and secure data exchange processes between legal technology platforms and enterprise systems.
  • Work with data models, large-scale datasets, and analytics workflows to ensure accurate and consistent processing and reporting outcomes.
Technical Consulting Stakeholder Engagement
  • Serve as a trusted advisor to legal teams regarding analytics approaches and eDiscovery technology solutions.
  • Communicate technical concepts effectively to attorneys, investigators, compliance teams, and business stakeholders.
  • Gather stakeholder requirements and translate business needs into technical solutions and platform configurations.
  • Deliver technical training, demonstrations, workshops, and user enablement programs.
  • Support vendor evaluations, performance assessments, testing, and implementation support.
Operational Excellence Quality Management
  • Identify recurring issues and recommend proactive solutions to improve service quality, user experience, and platform performance.
  • Support the collection and reporting of operational metrics, adoption statistics, ROI measurements, and workflow efficiency indicators.
  • Participate in continuous improvement initiatives focused on scalability, standardization, service excellence, and cost reduction.
  • Remain current on legal technology trends, AI developments, industry best practices, and evolving regulatory requirements.
Required education

Bachelor''s Degree

Preferred education

Master''s Degree

Required technical and professional expertise
Experience
  • 4-6 years of experience in eDiscovery technology, litigation support, or legal technology.
  • Advanced proficiency with Relativity, Reveal, Everlaw, Nuix, or comparable platforms.
  • Experience with TAR, CAL, active learning, and AI-assisted review workflows.
  • Experience with automation, APIs, system integrations, and workflow orchestration.
  • Strong experience with Technology Assisted Review (TAR), Continuous Active Learning (CAL), predictive coding, and AI-assisted review workflows.
  • Experience configuring review platforms, managing data processing projects, and executing productions.
  • Strong troubleshooting, analytical, and problem-solving capabilities.
  • Excellent written and verbal communication skills.
  • Strong stakeholder management, customer service, and relationship-building skills.
  • Experience implementing generative AI solutions.
  • Experience with scripting, automation, or low-code platforms.
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: 4 - 12

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