Summary

Clifford Chance, the UK's largest global law firm operating across 32 major financial centers, partnered with HCLTech to create a groundbreaking AI-powered legal practice platform using Azure AI Foundry and Microsoft applications to automate complex legal tasks and enable lawyers to focus on high-value strategic work, without impeding on quality or adherence to confidentiality or standards.

The Challenge

Clifford Chance faced significant operational inefficiencies with lawyers spending excessive time on routine tasks like reading complex legal documents, writing briefs and summarizing meetings. Operating across the Americas, Asia Pacific, Europe, the Middle East and Africa added to that complexity by requiring support for diverse, multilingual teams. Using traditional manual processes limited the firm's ability to scale operations and maintain quality across its extensive international network spanning multiple jurisdictions and legal systems. Clifford Chance needed a new, modernized approach.

The Objective

To meet its challenges head on, Clifford Chance had the ambition to pioneer AI adoption in the legal sector — while ensuring it maintains the highest standards of confidentiality and professional responsibility required of the law firm. The solution would need to enhance content generation capabilities as well as quickly and accurately summarize complex data sources without compromising quality or security; improve collaboration such as through scenario modeling; and provide live transcripts for non-native English colleagues and staff with accessibility needs.

The Solution

HCLTech implemented a comprehensive AI platform leveraging Azure AI Foundry. Azure AI Cloud Services — including Azure OpenAI, Azure AI Search and Translator Services — were utilized to onboard internal data and prepare for AI/machine learning innovation. Visualizations and dashboards are powered and monitored by Power BI. Azure Cloud Scale Analytics and Data Visualization Services leveraged stretched across Azure Databricks, Azure Data Factory, ADLS Gen 2/Blob Storage, Azure Database, PostGre, SQL and LogAnalytics.

The platform collects and analyzes data from across other Microsoft applications — including Copilot and Viva Suite — to automate and improve tasks for both employees and clients and the data is securely stored, processed and managed in Microsoft Azure OpenAI.

Built with Trustworthy AI principles, it features end-to-end encryption, authentication and auditing capabilities. All AI-generated legal outputs undergo lawyer validation and are clearly identified as AI-assisted, ensuring transparency and accountability. This solution was also showcased and validated as part of the AI/machine learning on Azure specialization audit review process, alongside Microsoft Responsible AI assessment.

The Impact

Clifford Chance was one of the first global organizations to deploy both Copilot for Microsoft 365 and Viva Suite at scale across its entire workforce, leading to time savings, cost savings and increased efficiency across the firm. With manual tasks now automated, lawyers and staff are freed up for more impactful work and increased productivity — which is enabling Clifford Chance to realize increased revenue and profitability.

Key highlights include:

• Saved ~5,000 hours in reviewing and correcting time-recording narratives
• Cut time spent generating documents by 2,000 hours
• Reduced due diligence by 40-50%
• Contract drafting decreased from two hours to minutes

As a Microsoft Early Adoption Program leader, Clifford Chance pioneered enterprise-scale Copilot deployment across 1,800+ users. This repeatable framework demonstrates significant market potential across global legal practices, positioning both firms as leaders in responsible AI legal innovation.

Summary

Fonterra, a New Zealand-based multinational dairy co-operative and the world's largest dairy exporter responsible for 30% of global dairy exports, partnered with HCLTech to revolutionize its Letter of Credit (LC) validation process across 140+ countries.

Using Microsoft Azure and generative AI, HCLTech developed an intelligent automation solution that transformed labor-intensive manual validation into streamlined straight-through processing — growing trade volumes while reducing payment risks and operational costs across Fonterra’s global supply chain.

The Challenge

Fonterra faced critical operational challenges managing payment risks across diverse international markets with varying credit environments and complex legal frameworks. The company's reliance on LC for payment guarantees created bottlenecks due to inconsistent, semi-structured SWIFT messages that varied dramatically across countries and banking institutions.

Manual validation of these required highly experienced staff and was becoming unsustainable as trading volumes expanded. The process was particularly challenging given the complexity of multi-product transactions and frequent data changes throughout the sales lifecycle.

The Objective

Recognizing the need for digital transformation to support its growth trajectory, Fonterra sought to automate its LC validation process while maintaining the highest standards of accuracy and compliance. To build on its existing Microsoft technology ecosystem, Fonterra partnered with HCLTech to develop an intelligent, scalable AI solution that could handle the complexity of global trade documentation while providing enterprise-grade security and reliability — so Fonterra could eliminate processing bottlenecks and enable its skilled workforce to focus on higher-value strategic activities.

The Solution

HCLTech delivered a sophisticated GenAI solution built on Microsoft Azure using microservices and event-driven architecture. It leveraged advanced AI capabilities to automatically extract, compare and validate LC data against Fonterra's SAP GTS records, handling the complexity of semi-structured SWIFT messages.

The solution featured intelligent document processing that adapted to:

• - Varying international banking formats
• - Real-time validation against multiple data sources
• - Seamless integration with existing enterprise systems

The platform's responsible AI framework ensured data privacy and security while scaling from single-product transactions to complex multi-product scenarios

The Impact

The AI-powered solution delivered transformative results that established new operational benchmarks for global trade processing for Fonterra across 140+ countries. The solution achieved:

• Reduces barriers to international commerce: 95% automated straight-through processing for Red Lane transactions
• Significant reduction in staffing requirements: Over 85% accuracy in validation reducing manual intervention
• Enhanced processes: 15% reduction in processing time
• Reduced risk: Improved documentation compliance and reduced payment risks
• Improved employee morale: Redeployment of skilled staff to higher-value strategic roles, improving job satisfaction

Summary

Kaiser Permanente, America's largest not-for-profit integrated healthcare provider serving millions of patients, partnered with HCLTech to transform clinical decision-making for 24,000 physicians. HCLTech developed the Clinical Advisor, an advanced agentic platform using Azure AI Foundry, that transforms complex medical searches from 5-minute manual processes into instant, evidence-linked answers — dramatically improving patient care quality and physician satisfaction.

The Challenge

Kaiser Permanente physicians faced a critical operational bottleneck: navigating over 20,000 internal guidelines during 20-minute patient consultations required them to step away from direct patient interaction to undertake time-consuming manual searches averaging 5 minutes per query. Half of these searches were abandoned due to time pressures, creating clinical inconsistency risks, heightened physician burnout and — critically — diminished patient care quality.

This systemic challenge extended well beyond workplace efficiency. With the dual stress of providing accurate care while maintaining timely appointments, physicians frequently took unfinished tasks home to complete, encroaching on personal and family time, and further contributing significantly to burnout and dissatisfaction.

The Objective

The goal was clear: Kaiser Permanente needed to eliminate clinical information retrieval friction while maintaining the highest security and compliance standards. This meant restoring clinician time for direct patient care, reducing search abandonment rates and creating a scalable solution that could enhance clinical workflow efficiency across its vast healthcare network.

The Solution

Kaiser Permanente partnered with HCLTech to develop HCLTech Clinical Advisor using Azure AI Foundry — creating a secure, agentic clinical decision-support platform within Kaiser's Azure environment. Clinicians can instantly ask natural-language questions directly within their workflow and receive precise, evidence-linked answers and recommendations in mere seconds — not minutes. The solution provides inline citations, automated contextual medical calculators integrated with FHIR-based EHRs, and proactive next-best-action prompts. Built with Trustworthy AI principles, it features end-to-end encryption, least-privilege access, groundedness and protected-material checks, and full traceability through Azure Monitor and Log Analytics, ensuring PHI remains secure while delivering transformational clinical support.

Other Azure services utilized in the solution:

Microsoft Entra ID, Azure Subscription, Azure Private DNS, Azure DNS, Application Gateway, Azure Speech, Azure AI Search, Azure Key Vault, Azure Document Intelligence, Azure OpenAI Service, App Subnets, Private-Link Subnet, Azure Database for PostgreSQL, Application Insights and Container Insights.

The Impact

The launch of the HCLTech Clinical Advisor delivered exceptional results:

• Clinician time restored: Search time reduced from 5 minutes to under 2 minutes
• Reduced search abandonment: 50% decrease in abandoned searches
• Enhanced processes: 15% reduction in processing time
• Significant productivity gains: $50 million annual productivity gain equivalent to 15% consultation capacity increase
• Enhanced clinical workflow: Processing 440,000 monthly queries (5.2 million annualized) significantly improved physician satisfaction and work-life balance

Delivered as the HCLTech Healthcare Copilot Accelerator, the same RAG-plus-FHIR blueprint can be deployed in weeks for other health systems without reengineering core logic. The accelerator ships with modular agents (guideline Q&A, calculator, procedural checklists) that plug directly into Azure AI Foundry. It demonstrates the scalability of HCLTech solutions and positions Microsoft as the trusted partner for responsible clinical AI innovation.

Demo Reference

To view the full demo video of GenAI-powered Clinical Advisor click here.

Summary

Rogers Communications, Canada's leading telecommunications provider, partnered with HCLTech to modernize its voicemail-to-text capabilities following Nuance service decommissioning. HCLTech developed a customized Voicemail to Text Integration Container (V2TIC) using Azure AI Speech service — creating a fully managed, scalable solution that seamlessly migrates customers to advanced AI-powered transcription with enhanced accuracy and multilingual support.

The Challenge

Rogers faced a critical operational disruption with the December 2024 decommissioning of Nuance Voicemail to Text service, requiring immediate migration to maintain seamless customer experiences across Rogers’ vast telecommunications network. The challenge demanded a solution that could handle fluctuating workloads, support English and French languages, maintain enterprise-grade security compliance and provide real-time transcription capabilities without service interruption for millions of Canadian subscribers.

The Objective

There was opportunity to transform this migration challenge into an innovation differentiator. Rogers aimed to create a future-proof, scalable voicemail transcription platform that would enhance customer experience while positioning itself to leverage advanced AI capabilities for future telecommunications innovations and maintain competitive advantage in the Canadian market.

The Solution

HCLTech customized Microsoft's Open-Source Code for V2TIC, integrating Azure AI Speech service with Azure AI Foundry foundations. The solution features containerized deployment on Azure Kubernetes Service with dual-region active-active architecture across Canada Central and East. The solution uses existing relay servers available in Rogers that use CISCO SMTP Relay Appliance for this relay.

Built with Trustworthy AI principles, it includes Azure Private Endpoints for secure communication, commitment tier pricing optimization, and comprehensive monitoring through Dynatrace and Azure Monitor for proactive maintenance and automatic failover capabilities. 

The Impact

The success of the migration is delivering both tangible and intangible benefits, including:

• Migration without disruption: Seamless migration with zero service disruption
• Rapid deployment and integration: Pre-built APIs and SDKs allow for quick integration of speech to text for future use cases while helping to maintain and upgrade the systems without downtime
• High accuracy and reliability: Enhanced transcription accuracy in noisy environments
• Cost efficiency: Significant cost efficiency through pricing models that use commitment tier and reserved tier pricing to save operational costs
• Scalability and flexibility: The scalable architecture handles fluctuating telecommunications workloads while supporting real-time processing

By enabling highly accurate transcriptions and longer conversations converted to text, Rogers is enhancing is customers’ experience. By leveraging Microsoft's trusted cloud platform, Rogers is also enhancing its reputation for security, innovations and customer centricity — which is valuable for both end customers and partner relationships.

This repeatable V2TIC framework demonstrates broad market applicability across telecommunications providers globally, positioning Rogers as an innovation leader while strengthening their customer experience and operational resilience through Microsoft's trusted AI platform.

Summary

Syneos Health, a leading clinical research organization, partnered with HCLTech to revolutionize its adverse event case intake process. HCLTech developed a generative AI-assisted platform leveraging Azure OpenAI and Document Intelligence to transform manual, sheer volume of data in diverse formats , error-prone, pharmacovigilance workflows into an automated, intelligent system that processes Individual Case Safety Reports (ICSRs) from diverse sources with unprecedented speed and accuracy.

The Challenge

Syneos Health faced critical operational bottlenecks in their pharmacovigilance operations: manual ICSR intake from emails, portals and scanned PDFs averaged 1-2 hours per case — creating significant delays in regulatory reporting. The process was highly error-prone, volume intensive, repetitive task, lacked multilingual NLP capabilities and couldn't scale during peak volumes surges, which risked impacting patient safety monitoring and regulatory compliance in the pharmaceutical industry.

The Objective

Syneos Health needed to modernize its pharmacovigilance infrastructure to eliminate manual processing bottlenecks, improve case quality and compliance with regulations, and create a scalable solution that could handle fluctuating volumes while maintaining strict compliance standards for adverse event reporting.

The Solution

HCLTech implemented a comprehensive Gen AI platform using Azure OpenAI Service (GPT-4o) and Azure AI Document Intelligence for real-time adverse event extraction. The solution employed responsible AI principles through secure Azure Key Vault credential management and Azure AD (Entra ID) for secure authentication. Azure Functions (Durable), Logic Apps, and Service Bus orchestrated automated workflows, while Power BI provided analytics dashboards in a multi-tenant environment.

The platform was built using Python (with PyPDF2, Pydantic, pandas, OpenAI, semchunk) and .NET (with Aspose, Azure SDKs, SQLClient). Other Microsoft Azure technologies utilized included:

• Azure Blob Storage for file archiving
• Azure SQL Database for structured ICSR data
• Azure Webapp for Front End React Deployment
• Azure Code Repository deployed for CI/CD

The Impact

Key highlights for Syneos’ pharmacovigilance transformation include:

• Reduction in time and costs: 65% reduction in case processing time, with a 50% cost reduction per case
• Improved case quality: 40% improvement in case quality through auto-filled data
• Complete compliance: 100% compliance with data retention requirements while maintaining scalability
• Responsible AI principles: Emphasized through secure Azure Key Vault and Entra ID authentication

This modular framework demonstrates significant market potential, being repeatable across pharmaceutical sponsors, CROs and medical device manufacturers globally.

Demo Reference

To view the full demo video of GenAI assisted case intake platform click here.