FRAIM Runs Legal Knowledge PoC with Money Forward
The PoC tests whether legal advice buried in chat threads can be turned into a maintained asset rather than relying on the memory of whoever answers, with human sign-off kept as the final step.
Reporting from 1 source: ASCII.jp.
FRAIM ran a proof-of-concept with Money Forward between April and June 2026, turning internal legal consultation logs into reusable structured knowledge. Using correct-answer labels for roughly 18,000 consultation categories and several months of consultation threads, FRAIM built playbooks and citation knowledge graphs, then let category-specific AI agents draw on them. Staff approvals and corrections feed back into playbook updates and classification retraining.
The design leans on FRAIM AI Agent, the company's document-work agent, with an eye toward deployment on the FRAIM Agentic Platform for organizations that work alongside AI. Past logs went through three steps: analysis that breaks consultations into intent, question and answer, points to confirm, and basis for judgment; a model that classifies consultations using category metadata as labels; and a citation knowledge graph linking consultations, answers, confirmation axes, FAQs, and evidence. Playbooks hold confirmation checklists, anticipated FAQs, and citations of the basis for judgment. Agents search similar consultations, present points to confirm, and surface evidence, with staff giving final confirmation.
Synthesized by Yomimono from the 1 cited source below, including Japanese-language reporting where cited, then editorially reviewed before publishing.
Sources
- ASCII.jp FRAIM、マネーフォワードと法務相談ナレッジ活用AIの実証実験を実施