Case Studies : GeniusVets – DynamoDB
Revolutionize customer interactions with AWS services like DynamoDB. Efficiently manage sentiment-driven data and improve customer service with...
They have been a very flexible partner in terms of scope and timeline and are absolutely critical to helping us navigate the AWS funding landscape. They bring a lot of domain knowledge, but are also very open to learning from our findings and expertise; it's definitely a team-oriented culture. Last but not least, everyone we have dealt with from the CEO, CTO, Head of Sales, and developers have been great, passionate people. We absolutely love working with Metal Toad!”
ABOUT RIGHTSLINE
Rightsline, established in 1999, is a leading provider of rights and royalties management solutions. Their platform enables intellectual property (IP) owners across various industries—including media and entertainment, gaming, publishing, consumer products, life sciences, and high tech—to effectively manage and monetize their content throughout the entire IP lifecycle. By offering comprehensive tools for rights tracking, contract management, and royalty calculations, Rightsline empowers clients to maximize the value of their IP assets.
BUSINESS PROBLEM: A CLERICAL NIGHTMARE
Rightsline's diverse array of customer documents necessitated the manual extraction and input of various fields from legal documents into their database—a process that was both time-consuming and prone to errors. To enhance efficiency and accuracy, Rightsline sought a Generative AI solution capable of streamlining and automating this task.
SOLUTION: GENAI TO THE RESCUE
In collaboration with Metal Toad, an AWS Advanced Consulting Partner specializing in data, artificial intelligence, and machine learning, Rightsline implemented an automated document processing workflow. The process begins when a document is uploaded, triggering an AWS Step Function that orchestrates the following sequence:
- Text Extraction: AWS Textract extracts text from the document, parsing it into line blocks.
- Schema Retrieval: An AWS Lambda function retrieves the document schema via Rightsline's API, utilizing schema insights to construct a prompt.
- Data Extraction: The prompt is sent to Amazon Bedrock, leveraging Claude V3, to extract data in JSON format.
RESULTS
This solution effectively automates the extraction and structuring of data from legal documents, significantly reducing manual effort and minimizing errors.
The implementation of this Generative AI solution yielded substantial benefits for Rightsline:
• 12-Month Savings: $3.4 million
• Labor Cost Reduction: 95%
These outcomes underscore the transformative impact of integrating advanced AI technologies into document processing workflows.
Metal Toad's expertise in AWS services and Generative AI was instrumental in developing and deploying this solution. Their commitment to helping organizations innovate through cloud migration, cost optimization, application modernization, and artificial intelligence aligns seamlessly with Rightsline's objectives.
IMPACT
This collaboration exemplifies how strategic partnerships and cutting-edge technologies can address complex operational challenges, driving significant improvements in efficiency and cost-effectiveness.