Collections law firm modernizing ops through infrastructure and reporting automation
Blitt & Gaines is a 200+ person collections law firm built on a substantial infrastructure stack (VMware, SQL Server, Azure, AWS) now executing a data and automation roadmap. The hiring velocity is accelerating heavily toward legal roles (57 of 65 open positions), but the active projects—SQL reporting, Power BI, IaC deployment, backup/DR, compliance audits—reveal an operations and systems maturity push happening in parallel. The pain-point list (turnaround times, call volume, balance reconciliation accuracy, production deadlines) maps directly to those infrastructure investments, suggesting the firm is automating internal operations to handle collection volume at scale.
Blitt & Gaines, P.C. is a full-service collections law practice headquartered in Vernon Hills, Illinois, serving mid-market and enterprise clients since 1991. The firm operates a primarily legal organization (57 legal department open roles across mid and junior levels) supported by a lean data and engineering team managing internal infrastructure and reporting systems. Active work spans infrastructure modernization (remote office networks, testing labs, backup/DR solutions), data pipeline optimization (SQL replication, Power BI dashboards, control reporting frameworks), and compliance automation—all positioned to improve operational throughput and accuracy in a high-volume, highly regulated environment.
Infrastructure: VMware, Cisco ASA, Dell EMC, NetApp, Veeam, Rubrik. Data/reporting: SQL Server, Power BI, Azure DevOps. Cloud: Azure, AWS, GCP. Infrastructure-as-code: Terraform, Ansible. Languages: Python, C#, PowerShell, React.
Remote office networks, SQL reporting and Power BI dashboards, testing lab build-out, compliance audits, transactional replication optimization, backup/disaster recovery solutions, and automation/infrastructure-as-code deployment.
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Blitt & Gaines Law Offices'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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