Cloud-Native Legal Document Processing & AI Assistance Infrastructure
| Category | Details |
| Industry | Legal Technology, AI SaaS, Document Automation |
| Features | AI-driven legal document processing and analysis; Intelligent chat assistant (FastAPI-based); Modular architecture (AI core, backend, frontend); Scalable on AWS ECS; Real-time indexing/tagging; Automated CI/CD via Bitbucket; Secure access & storage |
| Technologies | FastAPI (Python), AWS ECS (Fargate), Lambda, Step Functions, DynamoDB, Amazon RDS, AWS Amplify, Terraform, Bitbucket Pipelines, Docker |
| Infrastructure | Backend compute: AWS ECS cluster, Fargate tasks, ALB; Storage: DynamoDB (metadata/indexing), RDS PostgreSQL (transactional); Serverless: Lambda, Step Functions; CI/CD: Bitbucket Pipelines; Frontend: AWS Amplify; Networking: custom VPC, subnets, Bastion; IaC: Terraform |
Introduction:
This cloud-native legal document processing platform is engineered to transform legal workflows using AI-powered legal document automation and secure cloud infrastructure. Built on a modular architecture and leveraging AWS-native services, the platform enables real-time document analysis, intelligent indexing, and an AI-powered legal assistant for enhanced productivity.
By integrating FastAPI microservices architecture, AWS ECS Fargate deployment, and serverless workflows, the solution ensures high performance, scalability, and security. The use of Terraform infrastructure automation and automated CI/CD pipelines enables rapid deployment and seamless operations across environments.
Client Profile:
A technology-driven legal solutions provider aiming to modernize workflows through AI-driven document intelligence and deliver enterprise-grade legal SaaS solutions. The requirement was a scalable cloud-native architecture capable of supporting secure, high-performance legal operations.
Challenges:
- Managing AI-powered legal document analysis across distributed systems
- Ensuring low-latency document processing on AWS cloud infrastructure
- Handling large-scale document indexing and metadata management
- Integrating serverless event-driven workflows (AWS Lambda & Step Functions)
- Ensuring secure legal data processing across multiple environments
- Automating deployments with DevOps CI/CD pipelines and Infrastructure as Code (Terraform)
Technical Solution:
AI Core Services:-
The platform uses FastAPI-based AI services deployed on AWS ECS Fargate for scalable document processing. It delivers AI contract analysis, intelligent tagging, and an AI-powered legal chat assistant.
- AWS Lambda functions handle text extraction and document processing
- AWS Step Functions orchestrate complex workflows
- Microservices are containerized using Docker and deployed via Amazon ECR
Backend & Provisioning:-
The backend is built using containerized microservices architecture deployed on AWS ECS with environment-specific configurations.
- Amazon RDS (PostgreSQL) for transactional data
- Amazon DynamoDB for scalable metadata and indexing
- AWS Secrets Manager ensures secure credential management
- Bastion Host provides controlled database access
Frontend:-
The frontend is hosted on AWS Amplify, enabling a user-friendly legal SaaS interface with automated deployments.
- Integrated with Bitbucket Pipelines for seamless CI/CD
- Automatic deployment from SIT branch ensures faster release cycles
DevOps & Infrastructure as Code:-
The platform leverages Terraform-based infrastructure automation to provision and manage all AWS resources.
- Bitbucket Pipelines automate build, test, and deployment
- Full CI/CD automation for cloud-native applications
- Infrastructure includes VPC, ECS, ALB, IAM, and DynamoDB
Technology Stack:
- FastAPI (Python) for microservices
- AWS Lambda for serverless computing
- AWS Step Functions for workflow orchestration
- Docker for containerization
- Terraform for Infrastructure as Code
- Bitbucket Pipelines for CI/CD automation
Infrastructure:
- AWS ECS (Fargate) for container orchestration
- Application Load Balancer (ALB) for traffic routing
- Amazon DynamoDB for indexing and metadata
- Amazon RDS (PostgreSQL) for transactional storage
- AWS Amplify for frontend hosting
- Amazon S3 for object storage
- AWS Secrets Manager for secure credentials
- Custom VPC with private/public subnets
- Security Groups for network protection
Architecture Diagram:
Results / Business Benefits:
- Significantly reduced time-to-deploy and friction for new legal AI service rollouts.
- Real-time, scalable document analysis and chat support for users.
- Secure separation of environments with strict, least-privilege access controls.
- Automated CI/CD increased release frequency and improved software quality.
- Complete auditability and reproducibility of infrastructure via infrastructure as code.
Customer Says (Testimonials):
“The automated, modular, and secure infrastructure behind this legal AI platform has transformed the way we deliver legal intelligence—accelerating service delivery, improving quality, and ensuring robust compliance.”
Credit:
Harshwardhan Songirkar
DevOps Engineer
