The Japanese government has launched a large-scale pilot project for "Genai," a generative AI platform developed in-house by the Digital Agency to support civil servants. The trial covers roughly 180,000 government employees, including staff at field offices, with full implementation targeted for fiscal 2027.
The system is named after Hiraga Gennai, an 18th-century Japanese inventor, while also serving as a play on "generative AI." It began as a trial at the Digital Agency in May last year, with the in-house development approach seen as guaranteeing a degree of confidentiality. The pilot expanded to other ministries and agencies in May this year.
Parliamentary responses are the main target
The key feature under development is drafting responses to parliamentary questions. This is a time-consuming task for Japanese bureaucrats. A Cabinet Bureau of Personnel Affairs survey conducted in February and March last year found that the average time needed to complete a draft response to a lawmaker's question was seven hours and 16 minutes.
Researching legal interpretations, reviewing past responses, and conducting policy reviews account for most of that time. Similar surveys over the past few years have consistently shown the process takes six to seven hours.
Genai includes a search function based on past parliamentary transcripts, laws, and other resources. The Digital Agency is developing a function that analyzes and organizes key points to draft responses to lawmakers' questions, with a trial service hoped to launch by the end of the year.
Human staff will still verify factual accuracy, finalize responses, and make policy judgments. But the system is expected to significantly improve efficiency in the drafting process.
Beyond drafting: comments, transcription, and translation
The platform can also classify large volumes of public comments and opinions. Depending on the issue, public comments can number from several thousand to tens of thousands, and processing them currently takes considerable time.
Genai also supports audio transcription for meetings and translation. For professionals working in AI for IT & Development, the platform's architecture offers a concrete example of how generative AI can be deployed in government settings with attention to confidentiality and workflow integration.
The government will evaluate the system's effectiveness in improving efficiency and identify challenges during the trial period. Those lessons in Generative AI and LLM implementation will likely inform how other public sector organizations approach similar tools.
Why this matters for IT and development professionals
This project is a real-world case study in building AI tools for a specific, high-stakes workflow. The Japanese government isn't buying an off-the-shelf product - it's developing a custom platform that handles search, drafting, classification, and transcription against a defined set of internal documents.
For developers and IT teams, the takeaway is the emphasis on domain-specific functionality. The system's value comes from being trained on and integrated with parliamentary transcripts, legal texts, and policy documents. The same approach applies to any organization: identify the repetitive, knowledge-heavy task, then build or configure AI around that specific workflow rather than expecting a general-purpose tool to solve everything.
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