Case Study
Courtney Sessions Modernizes Legal Tech on AWS
Industries
About Courtney Sessions
Courtney Sessions offers an AI assistant built to transform court operations by accelerating case processing times from days to minutes. Trusted by judicial teams seeking greater efficiency, Courtney provides platforms for automated document analysis, intelligent calendar optimization, real-time monitoring, and end-to-end case management. Their AI-powered solutions reduce manual workloads by up to 85%, streamline administrative processes, and improve accuracy across multiple jurisdictions. Backed by advanced technology, Courtney Sessions empowers courts to modernize workflows with measurable results and minimal disruption. Learn more at www.courtneysessions.com.
Challenge
Courtney Sessions's Key Business Objectives
The company wanted to modernize its infrastructure and had a few primary goals:
Automating deployments and adopting a multi-account AWS setup to streamline case processing and reduce errors.
Achieving FedRAMP compliance to stay audit-ready and enable expansion into government and judiciary platforms.
Moving beyond Render to improve scalability, optimize workloads, and ensure uninterrupted court session operations.
Reducing infrastructure cost and improving efficiency through rightsizing, autoscaling and Infrastructure as Code.
Key Amazon Web Services Used
- AWS Organizations
- AWS Control Tower
- AWS Identity and Access Management (IAM)
- AWS Single Sign-On (SSO)
- Amazon Virtual Private Cloud (Amazon VPC)
- AWS Transit Gateway
- AWS Network Firewall
- Amazon Elastic Container Service (Amazon ECS) with AWS Fargate
- Elastic Load Balancing – Application Load Balancer (ALB)
- Elastic Load Balancing – Network Load Balancer (NLB)
- Amazon Relational Database Service (Amazon RDS)
- Amazon Simple Storage Service (Amazon S3)
- Amazon DynamoDB
- AWS Backup
- Amazon CloudWatch
- Amazon GuardDuty
- AWS Security Hub
- AWS Secrets Manager
Third-Party Tools
- New Relic
- Terraform
- GitHub Actions
- TFLint, Checkov, Terrascan
Solution
How Cloudelligent Accelerated Courtney Sessions’s Objectives
1
Security and Compliance
Cloudelligent migrated the environment to AWS GovCloud (US-East) to meet FedRAMP compliance requirements. We also delivered a secure multi-account structure using AWS Organizations and AWS Control Tower, backed by Service Control Policies (SCPs) and AWS Config rules for governance. Least-privileged access is enforced with AWS IAM roles and AWS SSO, while Amazon GuardDuty, AWS Security Hub and centralized Amazon CloudWatch logging strengthens the monitoring and suit readiness.
2
Scalability and Platform Modernization
We migrated Courtney Session’s legal applications from Render to AWS Fargate for Amazon ECS, enabling serverless container scaling with improved resilience and efficiency. Our team centralized ingress through an Application Load Balancer (ALB) in the Networking Account, which securely routed traffic to internal Network Load Balancers (NLBs) across environments. AWS Transit Gateway and AWS Network Firewall further enhanced secure, scalable traffic management and protection. Together, these improvements delivered a modern, cloud-native architecture capable of seamlessly handling peak workloads.
3
Deployment and Operational Efficiency
The Cloudelligent team established a multi-account AWS Organization spanning Management, Development, Production, Networking, Shared Services, Audit, Log Archive, Backup, BackupAdmin, and DevOps accounts to strengthen governance and separation of duties. We delivered Terraform-based Infrastructure as Code (IaC) to standardize deployments across environments and ensure consistency. The team also implemented GitHub Actions pipelines to automate provisioning and deployments, covering networking infrastructure, secrets management with AWS Secrets Manager, application infrastructure, and frontend/backend services. These enhancements streamlined operations, reduced manual effort, and accelerated release cycles.
4
Observability and Cost Optimization
We integrated New Relic with Amazon CloudWatch metrics and logs to strengthen monitoring and observability. All deployments were validated before release through automated policy checks using TFLint, Checkov, and Terrascan. Our team applied autoscaling policies and rightsized Amazon ECS tasks, delivering measurable AWS cost optimization and enabling sustainable long-term savings.
Results & Benefits
Next-Gen Court Operations – Streamlined, Secure, Scalable.
Cloudelligent helped Courtney Sessions achieve a FedRAMP-compliant, scalable cloud architecture with improved efficiency, cost savings, and streamlined operations. Key outcomes include:

Enhanced Security and Compliance
Cloudelligent helped Courtney Sessions achieve a FedRAMP-ready environment on AWS GovCloud, strengthening security posture with alignment to AWS Foundational Security Best Practices and NIST SP 800-53 controls. Compliance automation and centralized monitoring enhanced audit readiness and reinforced trust in the platform’s ability to operate securely in highly regulated legal environments.

Optimized Performance and Scalable Architecture
The Cloudelligent team improved Courtney Sessions’ platform performance, achieving up to 45% higher throughput during peak loads through ALB/NLB routing and network firewall enhancements. Amazon ECS Fargate autoscaling increased resilience, allowing workloads to scale automatically. These upgrades delivered a robust, cloud-native platform capable of handling growing demand securely and efficiently.

Improved Costs and Operational Efficiency
With Cloudelligent driving modernization, Courtney Sessions reduced infrastructure costs by up to 30% through Amazon ECS task optimization and autoscaling. Deployment times dropped from roughly 2 hours to under 5 minutes using Terraform and GitHub Actions pipelines. IaC governance, policy checks, and multi-account separation minimized errors and optimized operational efficiency.
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