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.
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.
The client wanted to help a larger population quickly find the right legal aid services. However, conducting personal interviews and collecting accurate data proved tedious and time-consuming.
Industry
Law/Nonprofits
Solutions:
A Web-based Triage System - OkLegalConnect
Results:
Platform users can now quickly attain the right legal aid services by simply attempting the interview sessions designed by the client team
Locations:
Oklahoma, US
About the Client
The client is a state-wide non-profit law firm focusing on providing legal assistance with civil (non-criminal) cases to low-income individuals of the state. They wanted a platform to widen their reach and streamline their operations.
With the growing need for civil legal aid, the client found it difficult to serve more customers with their legacy methods that involved interviewing and collecting vital information. A technology solution seemed obvious, but it had to meet their budget requirements.
Case Overview
Fingent recommended a feasible web application solution - OkLegalConnect that automates online interviews with simple questions and an assessment logic that determines appropriate services and legal aids.
One of the biggest challenges of the project was ensuring that the application was easily integrated with the existing systems of the partnered legal aid agencies so that operations could be optimized without disruptions.
CHALLENGES
Roadblocks Faced in the Existing System
Help a wider population achieve justice
Time-consuming manual and legacy processes
Inability to quickly conduct personal interviews and collect data
Difficulty in identifying the right POs and quickly sharing documents with them
Utilize new-age technology to speed up processes
SOLUTION
Fingent’s Approach - A Web-based Triage System - OkLegalConnect
The application helps the client connect seamlessly with a larger population, and thus, the platform was optimized to work effectively on smartphones, tablets, laptops, and desktops.
The admin creates and edits the dynamic forms that drive the interview process.
The app enables users to take a guided interview formulated by the client team.
The POs can share data and information regarding their services with the users.
The platform simplifies the interview processes and provides an advanced way to educate clients on legal procedures. It enables the client to connect more people to the right legal services and promptly solve issues. The standardization of the product has resulted in a great solution for the end clients, making OkLegalConnect a unique web application for finding civil legal services faster.
Flexible to quickly adjust to the fluctuating requirements of the partnering agencies
Enabling seamless API integrations
Educate clients on legal procedures easily through the app
Automate connecting users with the right participating organizations to share more relevant information
The customer wanted to develop a web-based self-help interview system that helps the low income and less literate litigants of Nebraska find solutions to their legal problems.
Challenges
Enabling the low income - low literate groups to handle legal formalities smoothly by expanding the scope of verbal communication and reducing the delay in receiving legal aid.
Results
The web-based interview system allows performing user screening and data sharing so that users (with low income & literacy levels) get better access to simplified legal procedures in real time.
“The website received strong support for its simple usability, visual appeal, and functional performance. It was built within budget specifications and the end-product exceeded expectations. Fingent impressed us with their responsiveness and technical skills.”
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