A Case Study on CreativeIntell
Customer Challenges
CreativeIntell, a legal-tech company focused on the music industry, was struggling with development inefficiencies and escalating costs associated with their flagship application. The application aims to streamline legal processes for artists and management teams. However, the company faced the following critical challenges:
- Difficulties fine-tuning the Claude 3.5 model for specific legal use cases.
- Ineffective indexing of their extensive legal library, comprising over 5TB of contracts and case studies.
- A lack of a cohesive and secure AWS Landing Zone; instead, they had a disorganized stack of partially configured AWS services inherited from a previous vendor.
These issues led to significant delays in deployment, higher operational costs, and suboptimal performance.
Solution Overview
eCloud partnered with CreativeIntell to implement a scalable and secure Generative AI-driven solution on AWS. The transformation addressed both the technological and business challenges, delivering a comprehensive application tailored for the music industry. The solution addressed key pain points such as:
- Excessive legal costs by automating contract generation and review.
- Poor decisions from inadequate legal advice with an AI-powered query and guidance system.
- Career-damaging contracts with tailored AI recommendations specific to the music industry.
- Protecting artists’ rights and intellectual property by flagging dubious clauses and providing dynamic contract drafting tools.
Through this solution, artists and managers can dynamically create business-specific contracts, ask legal questions in natural language, and have AI review sections or entire legal documents for compliance, risks, and accuracy.
Technical Implementation
eCloud leveraged AWS Generative AI services to develop a production-ready solution, addressing CreativeIntell’s unique requirements. Key components included:
- AWS Landing Zone Configuration: A secure and scalable Landing Zone was deployed to centralize operations and governance.
- Amazon Bedrock (Claude Haiku Model): Used to fine-tune industry-specific use cases for contract generation, analysis, and recommendations.
- Bedrock Guardrails: Configured to enforce compliance, prevent hallucinations, and safeguard against inappropriate outputs.
- Amazon Comprehend: Enabled legal phrase extraction and semantic understanding of retrieved documents.
- Amazon OpenSearch Service: Indexed 5TB of legal documents stored in Amazon
- S3 for seamless retrieval in the Retrieval-Augmented Generation (RAG) workflow.
- Amazon DynamoDB: Used to store chat history and associated metadata for user queries and legal interactions.
- AWS Lambda & EventBridge: Orchestrated serverless workflows for efficient processing of user interactions.
- Amazon API Gateway: Exposed APIs for frontend and partner integrations.
- Amazon EC2: Provided scalable compute resources for supporting application services and integrations.
Quantitative Business Impact
The Generative AI solution delivered significant business value, including:
- Cost Efficiency: Reduced operational costs by 40% by automating legal document generation and review processes.
- Improved Productivity: Decreased contract drafting and review time by 60%, enabling legal teams to focus on complex negotiations.
- Scalability: Increased system uptime to 99.99% with a robust AWS Landing Zone and optimized infrastructure.
- Enhanced User Engagement: Doubled user adoption within six months of deployment, with over 10,000 contracts dynamically created and reviewed by the AI in the first quarter.
- Evidence of Delivery: eCloud demonstrated a structured approach to delivering the solution through a detailed Project Plan and Statement of Work (SOW), including:
- Prompt Engineering Framework: Tailored prompts designed for each legal use case to optimize AI responses.
- Migration Timeline: Migrated and indexed 5TB of legal documents into OpenSearch within four weeks.
- Deployment Metrics: Validated model performance with test datasets, achieving a 95% accuracy rate for legal phrase extraction and contract risk identification.
- Compliance Assessments: Ensured adherence to data protection and legal regulations, leveraging AWS best practices.
AWS Services Implemented
- AWS Landing Zone (LZA)
- Amazon Bedrock (Claude Haiku Model)
- Bedrock Guardrails
- Amazon Comprehend
- Amazon OpenSearch Service
- Amazon DynamoDB
- Amazon S3
- AWS Lambda
- Amazon API Gateway
- Amazon EventBridge
- Amazon EC2
eCloud enabled CreativeIntell to harness Generative AI on AWS, transforming how legal processes are managed in the music industry. By leveraging AWS Bedrock and other AI services, CreativeIntell now provides a cutting-edge application that empowers artists and their teams to navigate complex legal landscapes with confidence and efficiency.
By Eric Sanders
