Eve builds AI-native case management for law firms, with OpenAI and Anthropic embedded across intake, triage, and resolution workflows. The stack reveals infrastructure maturity: Snowflake + BigQuery + Redshift for analytical backbone, dbt + Airflow + Prefect for pipeline orchestration, and a sales stack (HubSpot, Outreach, Apollo, Gong, SalesLoft) that signals strong go-to-market velocity. Current hiring is sales-heavy (12 open roles) relative to engineering (7), indicating product-market fit and a scaling sales motion.
Notable leadership hires: Customer Programs Lead
Eve optimizes casework from intake through resolution by embedding AI assistants into legal firm workflows. The product integrates case management with AI-driven automation, targeting mid-market and enterprise law firms seeking to handle higher case volumes without proportional headcount growth. The company is 51–200 employees, headquartered in San Mateo, and actively hiring across sales, engineering, and support. Pain-point data shows focus on both client outcomes (recovering more per case) and operational efficiency (scaling legal ops and data pipelines for ML workflows).
Eve integrates both OpenAI and Anthropic models into its platform. Both are listed as actively adopting technologies in the stack.
Eve relies on Snowflake, BigQuery, and Redshift for data warehousing, with dbt and Apache Airflow for pipeline orchestration—indicating support for complex ML workflows and scaled analytics.
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Eve'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.