株式会社LegalOn Technologies 全ての求人一覧Global の求人一覧
株式会社LegalOn Technologies 全ての求人一覧

DZAI-31-AI Engineer - DealOn

LegalOn Technologies is a global leader in legal AI solutions, trusted by more than 8,000 companies and law firms worldwide. The company empowers legal teams to review and negotiate contracts faster, with greater accuracy and confidence. Operating across Japan, the United States, and Europe, LegalOn is the first AI company from Japan to surpass ¥10 billion in annual recurring revenue (ARR) and has raised over $200M from leading investors including SoftBank and Goldman Sachs. It also has one of the largest and most global AI teams of any startups in Japan. In 2025, LegalOn achieved its first M&A by welcoming Germany's Fides Technology into the group, further accelerating global expansion. LegalOn combines LLMs, intelligent Agents and intelligent AI-driven workflows. Beyond legal, the company now offers specialized AI solutions including "CorporateOn," "CXOn," and "DealOn" to support diverse business domains requiring high expertise. In partnership with OpenAI, the company is redefining the legal AI landscape and developing innovative solutions for the future of professional work.For more details about our company, products, and development organization: https://legalforce-recruit.notion.site/LegalOn-Technologies-Candidate-Handbook-17d82a58637480d2836ae138e5b5ee95What Mission and Challenges You’ll Take OnOwn the design, development, and operation of AI-native features centered on RAG, LLMs, and AI agents, going beyond model implementation to deeply integrate with UI/UX and business workflows to deliver truly usable AI experiencesLead end-to-end decision-making across model selection, inference architecture, RAG design, and agent design based on specific use cases, balancing both quality and speedDesign and implement robust operational frameworks—including evaluation, monitoring, logging, and cost optimization—to continuously improve and maintain a reliable and trustworthy AI experienceWhat You’ll DoDesign and implement highly reliable agent-based LLM workflows for production environmentsBuild execution infrastructure for AI agents by integrating with external services and internal APIsEvaluate and select appropriate external models, frameworks, and services based on use case fitTranslate user needs into concrete requirements through stakeholder discussions, and collaborate cross-functionally to design optimal agent-based solutionsEstablish testing frameworks and monitoring systems to evaluate agent performance, and visualize key metricsDefine development processes and quality standards through code reviews and comprehensive documentationIdentify and address technical challenges to ensure the accuracy, reliability, performance, and scalability of AI systems, driving continuous improvement
DZAI-31-AI Engineer - DealOn

DZSA-01-Software Engineer - AI Agent & Search

We are a global leading company providing Professional AI — products that combine deep domain expertise with advanced AI. Since our founding in 2017, we have focused on developing AI-powered legal technology, raising a total of approximately JPY 28.6 billion to date. In 2022, we established our U.S. entity, and in 2025, we accelerated our global expansion further through our first M&A, welcoming Germany-based Fides Technology into our group. Our flagship product, LegalOn, is currently available in Japan, the United States, and the United Kingdom. In September 2025, just six and a half years after launch, LegalOn surpassed JPY 10 billion in ARR. Beyond legal, we are expanding into other highly specialized domains with products such as CXOn, DealOn, and GovernOn, leveraging AI to support complex professional work. Through our strategic partnership with OpenAI, we incorporate cutting-edge technologies such as AI agents into our product development. By delivering solutions that address a wide range of business challenges, we empower our customers to achieve better outcomes.For more details about our company, products, and development organization: https://legalforce-recruit.notion.site/LegalOn-Technologies-Candidate-Handbook-17d82a58637480d2836ae138e5b5ee95Key ResponsibilitiesAs LLMs and AI agents continue to reshape product experiences, search and recommendation are rapidly becoming core technologies that enable AI agents to perform complex professional tasks, rather than simply standalone features. In our global product “LegalOn,” the search and recommendation platform is also one of the most mission-critical systems.In this role, you will join a team responsible for improving specific areas of the user experience in “LegalOn.” Leveraging your expertise in search and recommendation, you will play a core role in designing and developing AI agent features to deliver highly valuable product experiences for users. We welcome people who are genuinely interested in search and generative AI technologies and who enjoy shaping user experiences through collaboration.What Mission and Challenges You’ll Take OnLeverage expertise in search, recommendation, and AI to maximize user value as part of a team responsible for improving specific areas of the user experienceCollaborate with product managers and related teams to explore various possibilities for what features to deliver to customersFollow the direction set by the Tech Lead or Project Leader, break down development tasks, and execute the development plan. For smaller projects or sub-projects, take on the role of project leader, creating a practical development plan for delivery and taking responsibility for its execution.What You’ll DoPlay a core role in the design, development, and delivery of AI agent features and related APIsLeverage expertise in search and recommendation to design, develop, and operate AI agent, search, and recommendation features for the user experience areas you ownCollaborate with team members and cross-functional partners to investigate quality issues related to AI agent and search/recommendation systems affecting the user experience, define quantitative evaluation metrics, and drive improvementsUnderstand the implementation of the search platform and leverage that knowledge in development, while responding to issues within your area of ownership as needed