Multi-state law firm specializing in creditor rights and foreclosure litigation
McCarthy Holthus is a Microsoft-heavy law practice operating across ten states with a .NET + SQL Server stack augmented by Westlaw and LexisNexis for case research. The tech foundation—VB.NET, C#, ASP.NET, SQL Server Integration Services, and Azure—suggests internally built case management and billing systems rather than off-the-shelf legal software. Active hiring leans legal (15 roles), but concurrent investments in Power BI dashboards, data model enhancements, and ETL optimization signal operational strain around volume foreclosure processing and billing accuracy at scale.
McCarthy Holthus is a multi-state law firm founded in 1999 with offices across Arizona, Arkansas, California, Colorado, Idaho, Nevada, New Mexico, Oregon, Texas, and Washington. The firm represents national, regional, and local financial institutions in creditor rights work, including foreclosure, bankruptcy, replevin, eviction, and real estate closings. The practice manages cases across U.S. Bankruptcy Courts, U.S. District Courts, and state courts, operating under tight compliance requirements. With 201–500 employees, the firm is scaling litigation capacity and internal operations to handle sustained high-volume case throughput.
The firm runs on Microsoft infrastructure: .NET, C#, VB.NET, ASP.NET, SQL Server, Azure, and Power BI. Case research uses Westlaw and LexisNexis. Most applications appear to be internally built.
High-volume foreclosure and eviction processing, foreclosure timeline pressure, billing accuracy and deadline management, and ETL performance—reflected in active projects around Power BI dashboards and data model optimization.
McCarthy & Holthus LLP'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.