AI & ML Claims Management Solution for Cutting
Average Case Settlement time
Challenges:
Lengthy procedures, varying data formats, strenuous manual efforts, prone to human errors, and changing regulations.
Industry
Legal
Solutions:
Ambit, a light-touch workers' compensation solution that leverages AI and machine learning
Results:
50% decrease in average total claim costs, claim cycle time, associated personnel costs
Location:
US
About the Client
Sapra & Navarra, co-founded by Albert Navarra and Ambika Sapra, is a leading franchise legal firm in California specializing in Workers’ Compensation Law. They are dedicated to representing self-insured employers, carriers, third-party administrators, and captive employers.
In 2011, Sapra & Navarra developed a revolutionary litigation strategy called "Breaking The Habit," designed to streamline complex, expensive, and time-consuming claim processes. They envisioned augmenting their strategy with AI to optimize their process, improve services, and enhance client experience.
Case Overview
Sapra & Navarra developed a litigation strategy called "Breaking The Habit" to streamline claim processes and reduce case settlement times. Despite its potential, the strategy faced inefficiencies due to manual processes in document segregation, data retrieval, and analysis.
Recognizing these limitations, Sapra & Navarra identified an opportunity to automate repetitive legal tasks using AI technology. Fingent developed a custom-built AI machine learning software that solved litigation challenges and complexities.
CHALLENGES
Roadblocks Faced in the Existing System
Lengthy Settlement Time
Typical compensation claims took up to three years for case settlements.
High Costs
Average settlement costs were around $85,000 per case, impacting business owners and carriers.
Manual Data Processing
Manual processes in document segregation, data retrieval, and analysis reduced efficiency.
Large Volumes of Data
Workers’ compensation claims often contain hundreds of pages of unstructured content.
False Claims
Identifying false claims early could significantly reduce costs and effort but was challenging with existing methods.
SOLUTION
Fingent's Light-touch AI Solution
Ambit: A light-touch workers’ compensation solution integrated with AI, to streamline claim procedures.
Automation: Leveraging AI to automate repetitive and rote legal tasks such as e-discovery and document review.
Character Recognition and Computer Vision: Utilizing AI techniques for reading and understanding case files.
Document Identification: Automating the process of finding and identifying relevant documents.
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SOLUTION BENEFITS
Making an Impact on Client Success
Sapra & Navarra's partnership with Fingent has yielded transformative benefits for their innovative approach to workers’ compensation law. This partnership has not only optimized claim processing efficiency but also enhanced client satisfaction and operational effectiveness across the legal industry.
Reduced settlement time and costs
Decrease average total claim costs, claim cycle time, and associated personnel costs.
Minimizing errors by automating complex data analysis.
Easy and quick segregation of documents.
