QS AI Dispute Resolution Platform is a multi-tier AWS deployment in ap-east-1 Hong Kong orchestrating document ingestion, NLP extraction, generative AI analysis, and stakeholder reporting for construction and commercial disputes. Data flows from QS Frontend through Amplify, CloudFront, and WAF into an Edge Ingestion Tier running ECS with Textract, Comprehend, and Translate, then to a Backend Server Tier combining S3 RAG knowledge bases, OpenSearch vector indexes, Aurora PostgreSQL metadata, and SageMaker models for clause extraction and contract variation analysis. Bedrock generative models and discriminative validation pipelines feed results through Lambda functions and Glue ETL to a Result Compilation Tier generating reports and dashboards, finally delivered to external stakeholders via API Gateway and CloudFront. This architecture demonstrates enterprise-grade AI orchestration with multi-model inference, vector RAG, governance via Lake Formation, encryption via KMS, and observability through CloudWatch and X-Ray. Fork and customize this diagram on Diagrams.so to adapt the pipeline for your own legal tech, contract intelligence, or dispute automation use cases.