Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services
Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services
Gartner, Magic Quadrant for Custom Software Development Services, By Jaideep Thyagarajan, Ryan McKinney, Nathan Davie, 7 October 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Hexaware.
Case Study
Document Intelligence for Operations Efficiency
Our client is a global medico-legal technology company focused on the Personal Injury (PI) sector. Their platform enables attorneys to quickly access accurate medical insights, simplifying complex case reviews.
The client’s Medico-Legal Services (MLS) team was held back by fragmented OCR-based tools and manual workflows. Reviewing medical documents involved:
This led to:
To overcome these barriers, the client turned to reinvention — a cloud-native SaaS platform powered by AI/ML to digitize processes, boost efficiency, and cut costs.
To modernize medico-legal case reviews, our client set out to build a cloud-native, AI-powered SaaS platform on AWS. The platform is designed to be secure, scalable, and intelligent, giving attorneys faster access to accurate medical insights. Hexaware partnered with them to bring this vision to life, combining deep legal-tech knowledge with proven AWS data and AI platform engineering expertise to deliver a solution for Personal Injury (PI) services.
Hexaware’s expertise was not just in assembling AWS components, but in layering them to deliver business impact. Each layer was designed to solve a specific challenge and build on the next:
To ensure the platform was both powerful and future-ready, Hexaware structured delivery into five interconnected innovation layers:
Layer 1: Centralized Data and Storage
All medical records were consolidated into a secure repository on Amazon S3, with Amazon OpenSearch enabling dynamic keyword-driven searches across large case files.
Layer 2: Automation and Redaction
Advanced workflows automated redaction and sectional data extraction for pain, injuries, treatments, medications, and ICD/CPT codes using AWS Textract for OCR processing.
Layer 3: Generative AI Intelligence
AWS Bedrock with Claude 3, supported by Aurora MySQL + PostgreSQL (Vector DB), enabled AI-driven summarization, transforming complex records into concise, accurate medical chronologies.
Layer 4: Multi-Tenant Security
The SaaS design, powered by AWS Cognito, GuardDuty, Inspector, and WAF, provided tenant-level data separation, ensuring compliance, scalability, and seamless integration into enterprise systems.
Layer 5: Scalability and Continuous Updates
With AWS Lambda & .NET Core APIs, the platform could scale effortlessly, integrate documents on demand, and deliver seamless upgrades with minimal infrastructure overhead.

By adopting cloud-native SaaS, AI automation, and generative intelligence, the client has taken its medico-legal services platform to the next level. Attorneys can now get accurate insights faster, spend less time on repetitive tasks, and focus on delivering stronger case outcomes — setting a new benchmark for efficiency and precision.
50–75% Faster Medico-Legal Reviews
Automated workflows accelerated document processing and chronology creation, enabling attorneys to focus on case strategy instead of repetitive paperwork.
15–20% Improvement in Data Accuracy
AI-driven extraction enhanced precision in identifying treatments, medications, and pain details, reducing errors and strengthening case outcomes.
40–60% Reduction in Review Costs
By replacing manual effort with automation and AI, operational expenses dropped significantly while maintaining quality at scale.
New Revenue from Scalable SaaS Delivery
The multi-tenant platform allowed the client to expand services into new segments and markets, driving additional revenue streams.
Faster Innovation with AWS-Native DevOps
Cloud-native automation and DevOps practices enabled quicker deployments and seamless upgrades, ensuring agility in a dynamic legal-tech market.
Attorneys Empowered as Strategic Advisors
With manual review burdens reduced, attorneys could shift their focus from data extraction to higher-value legal analysis and case strategy.
Medico-legal services have long been held back by paperwork and slow, manual steps. The client wanted a better way. By moving to the cloud and using AI, they built a secure, scalable platform that makes case reviews faster, more accurate, and easier to manage.
With AWS at the core and Hexaware’s industry cloud engineering expertise, they’re not just keeping up with change — they’re shaping the future of Personal Injury (PI) legal space.
Build your experience for faster, smarter, and more scalable medico-legal services powered by Hexaware’s AWS cloud expertise.