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.

Settlement time
reduced to 1-2 days

Costs reduced
to $15,000

50% decrease in
average total claim costs

Reduced Human Errors

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