ClaimScore Information

Complex litigation has steadily become more data-driven, bringing new opportunities and new complexity to how cases are built, noticed, and resolved. As datasets have grown larger and scrutiny has increased, the industry has continued to rely on fragmented records, legacy workflows, and manual processes never designed to scale or withstand modern evidentiary demands. We began this work with ClaimScore, a data science approach to fraud detection and eligibility validation. That technology has since prevented more than $1.75 billion from reaching fraudulent claims and earned industry recognition, including American Banker's 2025 Innovation of the Year in Cyber Security & Fraud and the American Legal Technology Awards' 2025 Startup of the Year. As we partnered with administrators and law firms on increasingly complex matters, a broader pattern emerged: beyond fraud, cases were consistently shaped by unreliable notice data, fragmented identity records, and matching challenges spanning the entire litigation lifecycle. Over time, this work expanded into additional identity-focused solutions built on the same baseline technology while serving different needs across the case lifecycle. Our platform now includes ClaimScore, DeepValidation, and ClassResolution, each engineered to bring structure, accuracy, and consistency to complex datasets. These tools have been deployed in high-profile privacy, consumer, and antitrust matters for major technology and consumer brands. Supported by a growing team of 15 data scientists and engineers, we are filling a critical gap that widens as cases become more data-intensive. Covalynt reflects the evolution of our company from a single anti-fraud product into a full-service data science platform purpose-built for Complex Litigation.