AI-powered expert witness matching platform for law firms
Expert Institute operates a two-sided matching platform connecting law firms with domain experts for litigation support. The tech stack reveals a mature SaaS infrastructure (Salesforce, HubSpot, Marketo, AWS managed services) layered with specialized legal tools (Westlaw, Bloomberg Law, LexisNexis), while active projects signal a shift toward AI-native case matching: embeddings-based expert search, document processing pipelines, and data platforms for case intelligence. Hiring velocity is accelerating across engineering and legal roles, suggesting an engineering-heavy push to automate expert matching and case intake—areas where the platform currently shows friction (hard searches, low SQL generation, high manual review volumes).
Expert Institute is a litigation support platform that matches law firms with expert witnesses across scientific, medical, engineering, and other specialized disciplines. Founded in 2010 and based in New York, the company serves mid-market and enterprise law firms seeking to reduce time-to-expert and improve case outcomes. The platform integrates expert intake, matching, and lifecycle management; it has grown to 201–500 employees and now combines traditional legal research tools (Westlaw, Bloomberg Law, LexisNexis) with modern cloud infrastructure (AWS, Snowflake, PostgreSQL) and marketing automation (HubSpot, Marketo, Braze). Current focus areas include automating high-volume medical record review, improving email engagement with prospects, and scaling the core matching engine.
Expert Institute uses Salesforce and HubSpot for CRM, AWS services (ECS, EKS, Lambda, RDS, Redshift), PostgreSQL and DynamoDB for storage, Snowflake for analytics, and legal-specific tools like Westlaw, Bloomberg Law, and LexisNexis. Frontend is Node.js/TypeScript.
Active projects include AI-powered document processing, embeddings-based expert search, a data platform for case matching, automated intake workflows, medical record review optimization, and full-cycle hiring. These reflect a shift toward automating expert matching and case workflows.
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Expert Institute'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.