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Legal Data Technical Specialist

IBM · Posted Oct 3

Hybrid cloud, artificial intelligence, enterprise software, quantum computing, and IT consulting services

Bangalore, INFull-timeHybridSenior Level4–6 years₹18.0L–₹30.0L yearly100+ applicants
Information TechnologyCloud ComputingArtificial IntelligenceQuantum ComputingEnterprise SoftwareIT ConsultingPublic Company
Full time

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About the role

IBM Enterprise Operations supports global eDiscovery and legal data operations for litigation, investigations, regulatory matters, and compliance initiatives. The team works across legal technology platforms, advanced analytics, workflow automation, data processing, and AI-enabled review tools. This role acts as the technical lead for platform administration, eDiscovery technology adoption, legal AI enablement, data pipelines, and technical consulting with legal and technology stakeholders.

What you will do

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Skills used in this role

RelativityRelativityOneRevealEverlawNuixDISCOMicrosoft PurviewMicrosoft 365Google VaultAPIsSQLGenerative AILarge Language ModelsTARContinuous Active LearningPredictive CodingClusteringConceptual AnalyticsEmail ThreadingEarly Case AssessmentWorkflow OrchestrationLow-Code PlatformsScriptingAutomationeDiscovery

What the employer is looking for

  • 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 qualifications

  • 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.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About IBM

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IBM

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International Business Machines Corporation (IBM) is a global technology and consulting company that provides hybrid cloud, artificial intelligence, and enterprise infrastructure solutions. Operating in over 175 countries, IBM helps businesses across industries modernize operations, secure data, and drive digital transformation through platforms like watsonx and Red Hat OpenShift. Founded over a century ago, the company remains a pioneer in high-performance computing, enterprise automation, and quantum technology.

Industry
Information Technology
Company size
260,000+ employees
Founded
June 16, 1911
Location
Armonk, New York, USA
Funding stage
Public Company

Funding

Public Company · $3.5B raised

Institutional Public ShareholdersVanguard GroupBlackRock
  • ·Post Ipo Debt$150M

Leadership

AK
Arvind Krishna

Chairman, President and Chief Executive Officer

JJ
James J. Kavanaugh

Senior Vice President and Chief Financial Officer

RT
Rob Thomas

Senior Vice President, Software and Chief Commercial Officer

MA
Mohamad Ali

Senior Vice President, IBM Consulting

JH
Jonathan H. Adashek

Senior Vice President, Marketing and Communications

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