AI-powered eDiscovery and document review platform for complex litigation
DISCO is a public litigation-technology company (NYSE: LAW) built on a polyglot stack—Java, Kotlin, Python, GraphQL, Kafka—optimized for high-volume data processing and low-latency search. The hiring mix skews heavily toward engineering and sales, with active work on quote-to-cash automation and dashboard instrumentation; paired with pain-point data around cost efficiency and large-scale data processing, this signals a scaling phase focused on operational efficiency and deal velocity alongside product capability expansion.
DISCO provides eDiscovery, document review, and case-management software to law firms and corporate legal teams handling complex litigation. The platform handles data collection, forensic investigation, and AI-assisted document analysis—work that involves processing and searching enterprise-scale datasets under tight timelines. The company operates across the United States, United Kingdom, and India, with a 501–1,000 person organization headquartered in Austin, Texas. Products include managed review services and a Case Builder platform.
DISCO runs on Java, Kotlin, Python, and GraphQL for core services, with Kafka for data pipelines, Elasticsearch for search, Kubernetes for orchestration, and AWS/Azure/GCP for cloud infrastructure. Salesforce handles CRM. QuickSight and Tableau power analytics.
DISCO is headquartered in Austin, Texas. Active hiring spans the United States, United Kingdom, and India.
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