Overview

The legal operations function of a leading global technology enterprise supports its compliance, investigations, contract lifecycle management, governance, analytics, and regulatory reporting across a large, distributed organization.More

The legal operations function of a leading global technology enterprise supports its compliance, investigations, contract lifecycle management, governance, analytics, and regulatory reporting across a large, distributed organization. As legal workloads grew, the client partnered with Tech Mahindra to modernize end-to-end support across Snowflake data engineering, application modernization, AI enablement, security remediation, operational excellence, and enterprise data governance . The solution resulted in streamlined incident management, improved knowledge access, strengthened SLA compliance, and established a scalable foundation for AI-driven legal operations.

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Industry Challenge

A leading global technology enterprise operating across multiple geographies runs a large in-house legal function covering compliance, investigations, contract lifecycle management, governance, and regulatory reporting. As legal and compliance workloads scaled, the organization faced several challenges:

  • Operational Bottlenecks: Manual incident creation and resolution processes hinder team productivity and response times.
  • Knowledge Fragmentation: Underutilized historical incident data, led to inconsistent resolution of quality and recurring manual errors.
  • Compliance and Monitoring Gaps: The enterprise struggled to maintain consistent SLA adherence and track vulnerability remediation across disparate systems.

Our Approach and Solution

We worked closely with the client's legal operations and technology teams to modernize the legal technology landscape and embed AI across core workflows. The approach combined data engineering, application modernization, and agentic AI to deliver next-generation legal AI applications. As legal and compliance workloads scaled, the organization faced operational bottlenecks, knowledge fragmentation, and compliance and monitoring gaps.

Business and Community Impact

Increased Operational Velocity

Reduced manual overhead and accelerated incident resolution through automated workflows and intelligent knowledge retrieval.

Enhanced Service Reliability

Improved SLA compliance and data accuracy through proactive monitoring and automated system integrations.