ClaimScore

To all of our industry partner?and friends, As we gather with loved ones and reflect on what we're grateful for, we at ClaimScore want to express our sincere gratitude for your continued trust and partnership. We're thankful for the opportunity to work alongside such incredible clients, partners, and colleagues who share our passion for innovation and integrity in the class action space. We wish you a warm and wonderful Thanksgiving filled with joy, laughter, and delicious food!??????

?? Is Your Class Action Notice Plan Truly Reaching Genuine Claimants? A solid notice plan is just the beginning. Without real-time claims analysis, inflated claim volumes can mask fraud, creating a false sense of success. In a recent case, claims surged from 20,000 to 2.4 million, only to reveal that most were fraudulent. This delayed discovery wasted resources and complicated the settlement process. ClaimScore’s real-time fraud detection helps administrators monitor claims as they come in, ensuring settlements go to genuine class members. Our backend tools quietly flag fraud without blocking legitimate claimants—protecting claim integrity and supporting fair, effective class action outcomes. For more on this and other ways to build a successful class action settlement, read our latest insights. #claimsfraud #classaction #legaltech https://lnkd.in/e6cEU94s

Fraudulent claims are a growing threat to class action settlements.?? Protect your business with ClaimScore's innovative 65-point scoring system. https://lnkd.in/eqHZ5E2U ? Our AI-powered system analyzes each claim individually, flagging suspicious activity and identifying potential fraud. Here's how it works: Proprietary Expert System AI:?Embeds the knowledge of experienced claims professionals to detect inconsistencies and red flags.??? Advanced Cloud Architecture:?Provides a secure and scalable platform for analyzing massive datasets.?? Neural Network Machine Learning:?Consistently adapting to evolving fraud tactics.??? Benefits for Class Action Administrators: Minimize fraudulent payouts:?Save millions by accurately identifying and rejecting invalid claims.??? Enhance efficiency:?Streamline the claims process and reduce administrative burdens.?? Increase transparency:?Provide clear justifications for claim approvals and rejections.??? Strengthen trust:?Demonstrate your commitment to fairness and accuracy.??? Watch our video to see ClaimScore in action! #ClaimScore #ClassAction #FraudPrevention #AI #MachineLearning #LegalTech

Traditional class action fraud detection methods that use single, one-off criteria (like flagging claims from a frequently used IP address) often miss fraudulent claims while wrongly flagging legitimate ones. Real-World Example: A single-criteria fraud detection approach once misidentified nearly 1,500 valid claims as fraudulent, while missing 78,000 actual fraudulent claims. By shifting to data-driven backend analytics, the claims administrator increased legitimate payouts by 4.5x and prevented nearly $4 million in fraud losses. Leading industries like banking & ecommerce have long used backend, data-driven fraud detection systems to analyze multiple data points and patterns, not isolated flags. At ClaimScore, we’re advancing fraud detection with multi-point backend solutions to enhance fairness, accuracy, and trust in claims administration. Learn more about how our approach is transforming claims integrity. For more on this and other ways to build a successful class action settlement, read our latest insights based on our new ebook, "Best Practices in Class Action Claim Validation: A Checklist.” https://lnkd.in/ewG943h2 #FraudDetection #ClaimsAdministration #ClassAction #MachineLearning #DataDriven

Are you aware of the growing threat of programmatic claims fraud? Bad actors, often organized crime rings, are exploiting the class action system with?tens of thousands to even millions of fraudulent claims per case.? ?? These criminals use bots, AI tools to mimic human behavior, and other tactics to imitate real user activity, generating massive volumes of fraudulent claims.?Even worse, they can attack?multiple cases simultaneously, making it difficult to detect and stop them.? ClaimScore is fighting back with cutting-edge fraud detection technology. Our latest video exposes the dark side of class action claims and how our advanced AI scoring system can identify fraudulent claims. Combining more than 65 data points, ClaimScore is able to detect 35 quintillion different fraud patterns. Learn more by watching our video now. https://lnkd.in/eJjWqC-i #claimsfraud #badactors #classaction

Fraud in the class action claims process is evolving, and so should our approach to fighting it. ???? Relying solely on frontend tools like CAPTCHA and Web Application Firewalls (WAFs) isn’t enough—fraudsters can quickly adapt and flood the system with fake claims. Our latest blog post explains why backend fraud detection is critical to detecting fraud and protecting legitimate claims. Learn how real-time analysis and scalable detection tools can outsmart fraudsters and keep the claims process secure. For more on this and other ways to build a successful class action settlement, read our latest insights based on our new ebook, "Best Practices in Class Action Claim Validation: A Checklist.” #classaction #claimsadministration #frauddetection #AI #legaltech https://lnkd.in/e3vtRkHh

6.5 million claims + manual review / 5 days = an impossible deadline to meet.?? In a recent case, the claims administrator – understandably – missed the deadline to review 6.5 million claims using conventional review methods, causing the judge to deny final settlement approval. ClaimScore’s technology stepped in, allowing the administrator to complete the review in under 3 days, with comprehensive, data-backed results that could be confidently presented in court.???? Today’s massive volumes of claims and the challenge of combating claims fraud requires advanced technological solutions that help administrators meet deadlines and get settlements approved. For more on this and other ways to build a successful class action settlement, read our latest blog post based on our new ebook, "Best Practices in Class Action Claim Validation: A Checklist.” ?#classaction #claimsadministration #AI #legaltech https://lnkd.in/ePezneed

Programmatic class action claims fraud can be a budget-buster for claims administration.?? In one case, counsel agreed to a $30,000 claims administration fee for an anticipated 30,000 claims. Fraudulent actors contributed to nearly 9 million claims being filed, leaving the claims administrator woefully underfunded to review the actual number of claims. To avoid awkward operational challenges like these, it’s critical that counsel and claims administrators account for the new normal of programmatic fraud when negotiating their administration budgets. For more on this and other ways to build a successful class action settlement, read our latest insights based on our new ebook, "Best Practices in Class Action Claim Validation: A Checklist.” #fraud #classaction #claimsadministration #AI #legaltech #claimsfraud https://lnkd.in/eJj25u24

The U.S. Department of the Treasury recovered over $4 billion in fraud this year, with AI playing a crucial role.?This highlights the growing threat of fraud and the power of AI-driven solutions to combat it. But here's the catch: fraudsters are using AI too, leading to a surge in complex schemes and costly class action lawsuits. To stay ahead, businesses need to fight fire with fire. ClaimScore leverages advanced AI to detect and prevent fraud in real-time, protecting your organization from financial loss and legal headaches.?With billions of dollars at stake,?even a mere 3% improvement in accuracy can save $2-$5 million (or more!) from falling into the hands of fraudsters. https://lnkd.in/gJBW8Btc #fraudprevention #AI #classactions

Fraudulent claims pose a significant threat to the integrity of class action settlements, jeopardizing compensation for legitimate claimants and undermining the efficiency of the legal process. ClaimScore is proud to partner with Digital Settlement to tackle this challenge head-on. By leveraging cutting-edge #AI and machine learning technology, we are able to identify and flag suspicious claims in real-time, ensuring that settlement funds reach the individuals they are intended for. To learn more about how AI is helping law firms and claims administrators take charge against fraudulent claims, read their latest article. https://lnkd.in/d9nW9vAf #classaction #fraudprevention #legaltech #claimsadministration https://lnkd.in/d9nW9vAf