AI-powered legal research platform for in-house counsel
Legalscape is a Japanese legal research platform built on a modern full-stack: Node.js, React/Vue, GCP, Elasticsearch, and BigQuery, with recent additions of Pinecone (vector search) and Azure OpenAI/Claude (AI reasoning). The tech choices—especially the vector DB + LLM adoption alongside active work on search UI and data mart design—show a shift toward semantic legal document retrieval. Engineering dominates the hiring profile (25 of 36 active roles), reflecting both product velocity and underlying infrastructure debt (CI/CD, monitoring, and tech-debt reduction appear as active projects).
Legalscape provides legal research and document discovery software for in-house counsel and legal teams. The platform handles cross-domain access to legal information sources and uses natural language processing to deliver precise query results, reducing time spent on manual legal research. The company also supports knowledge management within legal departments. Founded in 2017 as a spinout from the University of Tokyo, Legalscape operates from Tokyo with 11–50 employees and is currently accelerating hiring, particularly in engineering and data roles.
Node.js, TypeScript, React, Vue, GCP (App Engine, Cloud SQL, BigQuery), Firebase, Elasticsearch, Pinecone, Azure OpenAI, and ChatGPT/Claude for AI features. Testing via Jest and Cypress; infrastructure via Terraform, Ansible, and GitHub Actions.
AI-enhanced legal research tools, search UI redesigns for faster document retrieval, data platform architecture (BigQuery data mart), CI/CD and monitoring infrastructure, and a paid content purchase flow.
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