Collections law firm automating case management and compliance across nine states
Stenger & Stenger is a collections law firm built on a .NET + SQL Server + Azure stack, actively deploying ML models and LLMs while scaling CI/CD infrastructure and monitoring—a technical trajectory unusual for a 51–200-person law practice. The hiring mix (15 legal, 2 engineering, 2 support, 1 marketing) reveals a law-operations-first org attempting to automate case workflows and high-volume consumer outreach. Pain points cluster around case-management efficiency and cloud cost control, suggesting internal tooling struggles as volume grows.
Stenger & Stenger, P.C. is a collections law firm founded in 1994 that represents banks, creditors, and debt buyers in consumer and commercial collections across nine states: Colorado, Indiana, Georgia, Kentucky, Michigan, Minnesota, New Jersey, Ohio, Tennessee, and Iowa. The firm maintains a network of affiliated attorneys for nationwide coverage and operates a high-volume practice powered by custom databases, workflow automation, and digital outreach (email, SMS, and online payment portals). Core disciplines include creditors' rights litigation and skip tracing; the firm competes on staff expertise (attorneys, paralegals, collectors) and operational efficiency rather than brand.
Primary stack: .NET (C#, VB.NET), SQL Server, Azure (Container Apps, Firewall, Sentinel, Monitor), Visual Studio, and Terraform. Ancillary tools: Blue Prism (RPA), SendGrid, Adobe Creative Cloud, Canva, WatchGuard, VMware, Hyper-V.
Grand Rapids, Michigan. The firm serves nine states (Colorado, Indiana, Georgia, Kentucky, Michigan, Minnesota, New Jersey, Ohio, Tennessee, Iowa) and maintains affiliated attorney networks for broader reach.
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Stenger & Stenger, P.C.'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 →
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