FRAIM株式会社
Focuses on artificial intelligence algorithms, recommend search algorithms, and its own patented editor that reduces editing time.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor investor investor investor | €0.0 | round | |
$2.8m | Early VC | ||
| Total Funding | 000k | ||
FRAIM Inc., operating under the mission "Reinventing document creation," is a Japanese firm established on April 27, 2018. The company was founded as Japan Legal System Institute by Kei Horiguchi. Horiguchi, who passed the bar exam at a young age while at the University of Tokyo, was inspired to start the company after experiencing inefficiencies in document-heavy legal work at a U.S. law firm. Recognizing a broader application for his solution, the company was rebranded to FRAIM Inc. in October 2021 to tackle document-related business processes across all sectors, a strategy referred to as "Document DX".
The core of FRAIM's business is a subscription-based, cloud document workspace named "LAWGUE". This platform is engineered to streamline the entire lifecycle of business documents—from creation and review to search and management. It serves a diverse clientele, including major corporations like Mitsubishi UFJ Bank and Toyota Finance, government agencies, and legal offices, with several hundred organizations currently using the service. Revenue is generated through subscriptions to LAWGUE and by licensing its core technologies to other businesses for integration into their own systems or for new product development.
LAWGUE integrates several proprietary technologies to enhance productivity. Its "FRAIM Rich Editor" provides a high-speed online editing environment with features like automatic correction of indentation and numbering, and detection of inconsistent terminology. The "FRAIM Paragraph Suggest" is an AI-powered search and suggestion engine that recommends similar paragraphs and expressions, and even suggests missing content based on an analysis of existing documents. Furthermore, the "FRAIM Scan Parser" engine can process scanned documents, performing high-accuracy text recognition (including handwritten text), removing seals, and reconstructing the document structure for editing within the platform. By uploading past documents, clients can build a proprietary knowledge database, enabling the AI to provide tailored support and significantly reduce the time spent on manual document tasks.