Legal tech platform automating case management for German law firms and insurers
Legalhero operates a B2B SaaS platform for law firms and legal-insurance providers in Germany, built on Java/Kotlin with AI infrastructure (OpenAI, Anthropic, vector DBs like Pinecone and Weaviate). The tech stack reveals a mature ML/AI-first approach to case automation, while the project list—product strategy, growth modeling, KPI standardization—signals a scaling inflection point. Support hiring dominates (9 of 17 active roles), suggesting either product-market fit strain or deliberate customer-success expansion as they integrate deeper into insurer workflows.
Legalhero digitizes legal service delivery for small and mid-market law firms and legal-protection insurers across Germany. The platform automates case intake, document management, scheduling, and claims processing via proprietary software and a network of ~150 partner attorneys. The company targets two customer segments: individual legal clients seeking faster advice and B2B insurance partners needing operational efficiency. With ~65 employees based in Berlin, Legalhero positions itself as a workflow accelerator and legal-AI backbone, not as a direct legal provider.
Java, Kotlin, MySQL, Kubernetes on AWS. For AI: OpenAI, Anthropic, LangChain, LangGraph. For vector search: Pinecone, Weaviate, Qdrant. BI via Power BI, Looker, Tableau.
Berlin, Germany. The company is a public company with 51–200 employees.
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