Litigation workflow platform for eFiling, service of process and docket sync
InfoTrack US gives law firms one workflow for court filing, service of process and case tracking, syncing with their case management systems. Its .NET, React and SQL Server core is paired with an unusually deep document-AI layer: Azure Document Intelligence, Google Document AI, Tesseract, OpenAI, Azure OpenAI and Anthropic. That stack points to automated extraction from legal documents. Hiring is accelerating and spread across engineering, sales, support and ops, with churn and pipeline pressure recurring.
InfoTrack US is the New York-based US arm of a legal technology company, with 201–500 employees. It sells to law firms and litigation teams. The product covers electronic and physical court filing, eService, service of process, eSignatures, courtesy copy delivery, docket syncing and 1099 filing. It integrates with widely used case and document management software, pulling in case data and syncing documents and expenses back automatically. The company is privately held and currently hires in the United States.
InfoTrack US builds on C#, .NET Core, ASP.NET, Entity Framework, React and SQL Server. It runs on Azure and AWS with Docker and Kubernetes. For document AI and LLMs it uses Azure Document Intelligence, Google Document AI, OpenAI and Anthropic.
Yes. Its stack includes OpenAI, Azure OpenAI, Anthropic, Azure Document Intelligence, Google Document AI and Tesseract OCR. Job posts also reference AI compliance review and legal process automation projects.
Yes, and hiring is accelerating. Open roles span engineering, legal, ops, sales, support and data, mostly at mid and senior levels, all based in the United States.
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InfoTrack US'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.