MNTSQ
: How to use it, features, and the business problems it solves
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What is MNTSQ?
"MNTSQ CLM," a contract lifecycle management (CLM) platform for large enterprises from MNTSQ, Ltd. (Chuo-ku, Tokyo). It brings legal request intake and review, post-signing contract management, and knowledge building together in one place: AI automatically fills in contract management fields and assesses risk to decide whether a legal consultation is needed. It also includes an AI agent equipped with a playbook co-developed with the law firm Nagashima Ohno & Tsunematsu. Used by Kuraray, Tokyo Electron, Sumitomo Corporation, and others. Pricing by custom quote.
Business problems it solves
About "MNTSQ"
What is MNTSQ?
MNTSQ (pronounced "Montesquieu") is a contract lifecycle management (CLM) platform for large enterprises that brings contract consultations, reviews, post-signing management, and knowledge building together in one place. The product is called "MNTSQ CLM" and is provided by MNTSQ, Ltd. (Harumi, Chuo-ku, Tokyo; founded November 2018).
It is designed to be used company-wide, not only by the legal department but also by the business units that bring contract requests to legal. When you upload a contract, AI analyzes it and automatically fills in management fields such as transaction amount, contract term, and whether it renews automatically. For new contract requests, AI assesses the level of risk, automatically creates a case only for those that need legal consultation, and routes them to the legal department.
In 2026, MNTSQ added "MNTSQ AI Agent," an AI agent specialized in contract work. It comes with a "playbook" (a set of contract review criteria) co-developed with the law firm Nagashima Ohno & Tsunematsu, and it searches past cases and performs basic legal analysis based on prompts written by lawyers.
MNTSQ CLM consists of five components.
- MNTSQ Case Management: Consolidates legal requests into forms and makes review progress visible
- MNTSQ Contract Management: Uses AI to analyze signed contracts, build a contract register, and send automatic reminders for renewal deadlines
- MNTSQ AI Contract Assistant: Assesses contract risk, decides whether legal consultation is needed, and gives AI first-line answers
- MNTSQ AI Agent: Legal-specialized AI that supports contract review and legal consultation based on the playbook and past cases
- Database: Organizes contracts into usable knowledge with PDF OCR, clause-level breakdown, and metadata management
How to use
- Request materials or contact the company Download materials from the official site or reach out via the contact form. Pricing is not published, so share your challenges and scale of use to receive a quote.
- Roll it out with a dedicated consultant A dedicated consultant supports the rollout. When you import existing contracts (PDF), OCR and clause breakdown run, and AI automatically fills in the management fields of the register.
- Receive requests from business units through forms Business units request contract reviews or legal consultations through forms prepared for each type of case. Email exchanges and attachments are automatically captured into the case.
- Triage and review with AI The AI Contract Assistant assesses contract risk, handles low-risk, routine matters with AI first-line answers, and automatically creates cases only for those that need legal judgment. The legal department reviews contracts in Word with a plug-in that compares them against company templates and past contracts.
- Manage signed contracts and reuse them as knowledge Signed contracts are collected in the register, and reminders such as renewal deadlines are sent automatically by email. Accumulated cases and contracts become past cases that AI Agent references in the next review.
Key features
01Request intake and case management
- Single request channel — Consolidates review and consultation requests into forms. Input fields can be customized for each type of case
- Email integration — Automatically captures email exchanges into cases and makes attachments full-text searchable
- Status visibility — Shows assignees and review progress in a list, with email notifications and permission controls
- Automatic knowledge suggestions — Suggests relevant past information based on the content of the case
02AI support for reviews and consultations
- Risk assessment and triage — When a contract is uploaded, AI assesses its level of risk and indicates whether legal consultation is needed
- Automatic case creation and escalation — Matters that need legal consultation are automatically logged and routed to the legal department
- AI first-line answers and issue organization — AI answers simple questions on the spot and organizes the preconditions needed for a decision, helping business units decide
- AI contract review (Word plug-in) — Compare contracts against company templates and check differences from past contracts directly in Word
- MNTSQ AI Agent — Equipped with a playbook co-developed with Nagashima Ohno & Tsunematsu, it supports past-case search, chat consultations, displaying the AI's reasoning process, basic legal analysis, and drafting questions to ask the requesting department
03Post-signing contract management and database
- Automatic field entry — AI analyzes contracts and fills in the register with transaction amount, contract term, auto-renewal, and more
- Automatic alerts — Set notification timing and message text in advance to prevent missed renewals
- E-signature and storage integrations — Automatically imports contracts signed with Docusign or CloudSign. Also integrates with SharePoint, Google Drive, and Box
- OCR, clause breakdown, template management — Recognizes text in PDF contracts and manages them clause by clause. English-language contracts are also supported
Pricing
MNTSQ's pricing is not published on the official site (as of October 12, 2026). The official site describes the fee structure as follows.
| Fee | Details |
|---|---|
| Initial fee | Initial setup and implementation support |
| Monthly fee | Service usage and support |
- Plans are proposed individually based on your industry, challenges, and scale of use; confirm the amount via a quote
- There is no limit on the scale of use, so it can be used company-wide, including business units as well as the legal department
- A dedicated consultant supports implementation
Pros and cons
Pros
- Handles everything from request intake and review to post-signing management and knowledge building in one system
- AI assesses risk and decides whether legal consultation is needed, reducing routine inquiries that reach the legal department
- The playbook co-developed with Nagashima Ohno & Tsunematsu makes it easier to get support aligned with your company's legal judgment than with general-purpose generative AI
- AI fills in contract management fields automatically, reducing manual work to build the register
- Integrates with Docusign, CloudSign, SharePoint, Google Drive, and Box, so it fits into existing environments
Cons
- Pricing is not published, so you cannot know the cost without requesting a quote
- Designed for company-wide rollout at large enterprises, not something a small legal team or individual can casually try out
- Getting results requires rethinking workflows, including how business units submit requests, and rolling it out internally
Reputation and reviews
The official site displays logos of companies such as IHI, Glico, Komatsu, OMRON, Panasonic, Nitori, Mazda, MUFG Bank, Tokyo Electron, and Daiichi Sankyo, and publishes more than 30 case studies. When MNTSQ announced a ¥1 billion Series B round in September 2023, it stated that about one in five Japanese companies with annual revenue of ¥1 trillion or more were running their contract work on MNTSQ CLM.
Official case studies include Kuraray (migrating about 20,000 contracts covering 17 years), Tokyo Electron (replacing an in-house system used for 20 years), GS Yuasa (company-wide rollout after individual briefings for 25 departments), Ishihara Sangyo (saving about 200 hours of work per year), and Sumitomo Corporation (strengthening knowledge management). Most examples come from large enterprises that handle many contracts and face challenges coordinating between legal and business units.
Frequently asked questions (FAQ)
Q. How much does MNTSQ cost? A. Pricing is not published on the official site. It consists of an initial fee (setup and implementation support) and a monthly fee (service usage and support), and the amount is confirmed through a quote based on your challenges and scale of use (as of October 12, 2026).
Q. What does MNTSQ's AI do? A. It automatically fills in contract management fields, assesses contract risk and decides whether legal consultation is needed, automatically creates consultation cases, gives AI first-line answers, supports reviews in Word comparing against templates and past contracts, and searches past cases. Final legal judgments are made by the people in charge.
Q. Can business unit members use it? A. Yes. Business units can request reviews and consultations through forms and receive AI first-line answers and organized issues. There is no limit on the scale of use.
Q. Does it integrate with e-signature services? A. Contracts signed with Docusign and CloudSign can be automatically imported into MNTSQ. It also integrates with SharePoint, Google Drive, and Box.
Q. Does it support English-language contracts? A. Yes. The official contract management feature page states that English-language contracts are supported.
Q. Is it secure? A. MNTSQ is ISO/IEC 27001 (ISMS) certified, and data is encrypted and stored on AWS. SSO (SAML authentication) and IP address restrictions are supported as standard.
How it differs from other AI tools
| Service | Type | Best for |
|---|---|---|
| MNTSQ | Contract lifecycle management (CLM) for large enterprises | Unifying company-wide contract work, from business unit requests to post-signing management |
| LegalForce | AI contract review | Checking pre-signing contracts for risks and missing clauses with AI |
| OLGA | Legal OS from contract review to case management | Streamlining contract review, contract management, and case management together |
| LeCHECK | AI contract review support | Checking contracts with lawyer-supervised check rules |
| Legalscape | Legal research | Searching across legal books, case law, and statutes |
MNTSQ focuses less on contract review itself and more on connecting the entire company's contract work, from request intake to post-signing management, so that contract data can be used as knowledge. If you only need to check contracts before signing, an AI contract review tool is easier to start with.
The information on this page is as of October 12, 2026, and is based on MNTSQ's official site (home page, key features, Case Management, Contract Management, AI Contract Assistant, MNTSQ AI Agent pages, case studies, and company profile) and the PR TIMES announcement of September 19, 2023. Pricing and features may change, so please check the official site for the latest information.
