Plaintiffs' litigation firm handling complex cases across mass tort, securities, and consumer fraud
Motley Rice is a plaintiffs' litigation firm built around high-stakes class actions and mass tort work. The tech stack is heavily weighted toward legal-specific tools (Relativity, Westlaw, LexisNexis, PACER) paired with a custom .NET/C#/SQL Server backend, suggesting significant internal case-management and document-processing infrastructure. Active hiring spans legal roles (paralegals, attorneys), finance, and engineering — with a notable accelerating velocity — alongside concurrent infrastructure projects (digital document storage conversion, payroll retention automation) that signal operational scaling pressure.
Motley Rice LLC operates from Mt. Pleasant, SC as a privately held plaintiffs' litigation firm with 201–500 employees. The firm concentrates on complex litigation including class actions (consumer, ERISA), qui tam actions, catastrophic injury, securities fraud, mass torts, and product liability. The technical footprint reveals a blend of commercial legal software (Relativity for e-discovery, Westlaw and LexisNexis for research, PACER for federal court access) and custom case-management systems built on .NET, SQL Server, and Azure — a combination typical of large litigation shops managing high-volume document review, discovery workflows, and attorney billing/finance operations.
Motley Rice operates on Relativity (e-discovery), Westlaw and LexisNexis (legal research), Microsoft Dynamics 365 (CRM/finance), SQL Server and Azure SQL (databases), and a custom .NET/C#/ASP.NET application layer. Financial software includes Concur and Expensify for expense management.
Motley Rice is headquartered in Mt. Pleasant, SC. The firm's primary office is located at 28 Bridgeside Drive, Mt. Pleasant, SC 29464, and it hires exclusively in the United States.
Motley Rice's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.