RAKUS 楽楽電子保存 証憑取得AIエージェント vs CoCounsel Legal

Quick answer

RAKUS 楽楽電子保存 証憑取得AIエージェント (invoice and receipt collection agent for Japan's Electronic Books Maintenance Act) (RAKUS (株式会社ラクス, RAKUS Co., Ltd.)) and CoCounsel Legal (agentic legal AI) (Thomson Reuters) are both listed in the Business operations category of Agent Index.

They share no framework tags in our dataset.

This is not a ranking.

RAKUS 楽楽電子保存 証憑取得AIエージェント (invoice and receipt collection agent for Japan's Electronic Books Maintenance Act) (RAKUS (株式会社ラクス, RAKUS Co., Ltd.)) and CoCounsel Legal (agentic legal AI) (Thomson Reuters) are both listed in the Business operations category of Agent Index. They share no framework tags in our dataset.

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Field RAKUS 楽楽電子保存 証憑取得AIエージェント (invoice and receipt collection agent for Japan's Electronic Books Maintenance Act)CoCounsel Legal (agentic legal AI)
Vendor RAKUS (株式会社ラクス, RAKUS Co., Ltd.)Thomson Reuters
HQ Japan · Asia PacificCanada · North America
Primary category Business operationsBusiness operations
Also listed in Business operations, ComplianceBusiness operations
Summary Tokyo-based RAKUS's evidence-collection AI agent for its 楽楽電子保存 e-bookkeeping system finds invoices and receipts that arrive by email, unlocks password-protected files and ZIPs using passwords it extracts from other emails, registers them in 楽楽電子保存, checks Electronic Books Maintenance Act (電子帳簿保存法) requirements and alerts staff on errors; since Oct 27, 2026 it can read Microsoft 365 mailboxes directly.Agentic legal AI from Thomson Reuters that plans and executes multi-step legal work (research, document analysis, drafting and verification) grounded in Westlaw and Practical Law, including a Drafting Agent in Word that reviews agreements against playbooks.
Frameworks (vendor-stated) ——
Frameworks (vendor-claimed) Electronic Books Maintenance Act (電子帳簿保存法, Japan)—
Capabilities / tasks process automation, evidence collection, workflow automationcontract review, workflow automation
Integrations (vendor-listed) Microsoft 365 (mailbox connection), 楽楽明細, 楽楽精算Not recorded in this dataset yet
Pricing (as published) Paid option from JPY 5,000 (提供価格 5,000円~, RAKUS release Aug 6, 2026); 楽楽電子保存 base pricing on request (checked 2026-10-29).Not published
Pricing model quotequote
Primary source https://www.rakus.co.jp/news/2026/1027.htmlhttps://legal.thomsonreuters.com/en/products/cocounsel-legal
Last checked 2026-10-292026-10-18
Official site https://www.rakus.co.jp/rakurakucloud/denshihozon/https://legal.thomsonreuters.com/en/products/cocounsel-legal

FAQ (from this dataset)

What is the difference between RAKUS 楽楽電子保存 証憑取得AIエージェント and CoCounsel Legal?

Both are listed under Business operations. Shared tasks: workflow-automation. RAKUS 楽楽電子保存 証憑取得AIエージェント-only tasks: process-automation, evidence-collection. CoCounsel Legal-only tasks: contract-review. Differences are from stored category and task tags, not a ranking.

Which one publishes pricing?

RAKUS 楽楽電子保存 証憑取得AIエージェント (invoice and receipt collection agent for Japan's Electronic Books Maintenance Act): Paid option from JPY 5,000 (提供価格 5,000円~, RAKUS release Aug 6, 2026); 楽楽電子保存 base pricing on request (checked 2026-10-29). CoCounsel Legal (agentic legal AI): Not published

Where are RAKUS 楽楽電子保存 証憑取得AIエージェント and CoCounsel Legal headquartered?

RAKUS 楽楽電子保存 証憑取得AIエージェント (invoice and receipt collection agent for Japan's Electronic Books Maintenance Act) publishes HQ in Japan. CoCounsel Legal (agentic legal AI) publishes HQ in Canada.

Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.

Also in this use case

Other verified listings that share a task tag or use-case group with RAKUS 楽楽電子保存 証憑取得AIエージェント (invoice and receipt collection agent for Japan's Electronic Books Maintenance Act) or CoCounsel Legal (agentic legal AI). Open a pair page or the use-case table — this is not a ranking.

Use-case comparisons

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