LogiQuad Solutions

Case Studies

Cloud Native Legal AI Document Automation

This cloud-native legal AI-powered document automation platform is engineered to revolutionize legal document workflows by integrating AI-driven automation, intelligent document analysis, and intuitive user experience. Built with a modular architecture and leveraging AWS-native services, it efficiently processes, analyzes, and manages legal documents while providing intelligent chat assistance. The solution delivers AI-powered legal document automation designed for robustness, security, and scalability, utilizing Infrastructure as Code (Terraform), automated CI/CD pipelines, and tightly integrated containerized and serverless services. This architecture empowers legal teams with rapid deployment, scalable AI-driven document processing, and seamless operational reliability across environments.

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Scalable, Cloud-Native SaaS Platform for Multi-Source Data Curation

This initiative focuses on building a Cloud-Native SaaS Platform for Multi-Source Data Curation, designed to simplify how financial institutions and end-users’ access and analyze dynamic data from multiple sources. A Microservices banking architecture is used in the backend to bring this concept to life, including a mix of technologies such as Django, Laravel, and NestJs. Authentication is handled by Keycloak and Strapi, while the frontend is driven by SvelteJs and the database is Postgres. This architecture ensures the Home Loan Package Curation process is efficient, secure, and scalable.

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Personalized University Search Using Retool Workflows and OpenAI APIs

Our Admission Support System simplifies the complex process of applying to colleges abroad. Students can efficiently search, shortlist, and receive alerts about admission deadlines without manual tracking. Leveraging AI-based college shortlisting, this platform delivers personalized recommendations based on user preferences. With Retool workflow automation, it ensures timely notifications and smooth app interactions, streamlining the entire application process.

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