AI legal research and drafting platform for lawyers across Europe
Lexroom builds an AI assistant for lawyers that turns legal research into sourced answers and drafts, running on Python, FastAPI, LangChain, LlamaIndex and the OpenAI API with RAG now being adopted. Hiring is accelerating and heavily sales-led, with open roles across Italy, Germany, Spain and France. Job posts point to a push to export the Italian outbound playbook into new European legal markets.
Lexroom is a privately held legal tech company headquartered in Milan, Lombardy, with 51–200 employees. Its platform helps legal professionals cut time spent on research, producing drafts and practical answers grounded in institutional legal sources. Coverage spans practice areas including civil, commercial, privacy, banking, labour, tax, public, criminal, family and IP law. The company sells to law firms and lawyers, and is building go-to-market teams in Italy, Germany, Spain and France.
Lexroom uses Python, Django and FastAPI on the backend, React, Next.js and TypeScript on the frontend, LangChain, LlamaIndex and the OpenAI API for AI, plus AWS, GCP, Azure, Terraform, BigQuery, Snowflake and Kafka.
Yes. Sales is the dominant hiring area at Lexroom, with hiring accelerating and roles focused on outbound pipeline building across Italy, Germany, Spain and France.
Lexroom is developing RAG-based AI systems, LLM fine-tuning and post-training, and search pipeline optimization for LLM agents, while building a repeatable outbound engine and expanding into France and Germany.
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Lexroom'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 →
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