National law firm with emerging data and AI automation capabilities
Kaufman Dolowich is a 200+ person law firm built around commercial litigation, employment defense, and insurance coverage work. The tech stack reveals a firm in transition: core legal research tools (LexisNexis, Westlaw) sit alongside modern data infrastructure (Azure, Python, Power BI, Fabric) and automation testing frameworks (Selenium, Playwright, Cypress), suggesting internal efforts to reduce manual case work and build scalable data services. Active projects around CI/CD pipelines and LLMOps indicate engineering resources are now supporting generative AI solutions—unusual for a traditional firm and a signal they're moving beyond document automation into knowledge leverage.
Kaufman Dolowich LLP is a national law firm headquartered on Long Island, New York, serving mid-market and enterprise clients across labor and employment, professional liability, commercial litigation, insurance coverage, construction law, and data privacy. The firm's practice spans D&O liability, FINRA matters, cyber breach defense, and financial services regulatory work. With 66 active job openings concentrated in legal roles, the firm is aggressively scaling both attorney talent and claims handling capacity, while parallel hiring in product and engineering signals expansion into internal legal tech and data-driven service delivery.
Core: LexisNexis, Westlaw, NetDocuments, PACER for legal research and case management. Data/BI: Microsoft Fabric, Azure Data Factory, Power BI, Python. Automation: Selenium, Playwright, Cypress, Tosca. Infrastructure: Azure, AWS, Jenkins CI/CD.
Labor and employment, commercial litigation, professional liability, directors and officers liability, insurance coverage, construction law, cyber and data privacy, FINRA, financial services, and general liability.
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Kaufman Dolowich 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 →
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