Accelerate contract review and generate revised drafts with a unified AI workspace that integrates directly with your cloud storage.
Maigon moves beyond simple analysis, allowing legal teams to import, review, and generate updated contracts with tracked changes in one platform.
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DeepIPMaigon is an excellent AI for Legal Research & Contracts, particularly for teams seeking to automate the full review-to-draft workflow. It stands out by allowing users to import contracts from Google Drive or SharePoint, run reviews using a choice of top AI models (like Claude and GPT), and then generate an updated draft with tracked changes directly within the platform. This end-to-end process significantly reduces manual effort for legal professionals.
Your workflow, automated
Before & After
Manually redlining contracts line-by-line in Word, cross-referencing with a separate playbook.
4-6 hours per complex contractAutomatically generating a revised contract with tracked changes based on an AI review, all within one platform.
1-2 hours per complex contractTry it with these prompts
Copy any prompt and paste it directly into the tool.
Analyze this Mutual NDA and extract the following key clauses: Termination, Liability Cap, and Governing Law. Provide the specific wording for each clause and identify any risks associated with them.
Please review this Data Processing Agreement for compliance with GDPR and the latest EDPB guidelines. Highlight any clauses that pose a risk and suggest specific recommendations for improvement.
Compare the provided redlines in this contract against the original text. Identify suggested refinements, such as narrowing indemnity triggers or adding mutual liability carve-outs, and explain their impact.
Trusted by professionals
Works with your existing stack
How it compares
Maigon vs. LegalSifter: Maigon is built for legal teams who want an end-to-end workflow, from cloud import to AI-generated drafts. Its key differentiator is generating an updated DOCX with tracked changes based on its own review recommendations. LegalSifter, a more established player, excels at rapid issue spotting against a pre-trained library of concepts ('Sifters'). Choose Maigon if your primary goal is to accelerate the drafting and redlining cycle within a single tool. Opt for LegalSifter if you need to quickly analyze high volumes of contracts for specific risks using a mature, pre-defined knowledge base.
Is it worth it?
Why Legal choose this tool
Key Use Cases
Maigon is a powerful, end-to-end contract review platform that stands out for its ability to generate revised drafts with tracked changes. Its multi-model approach is a significant plus, but the lack of public pricing means its value proposition requires a direct sales engagement.
Frequently asked questions
What is the best AI contract review software for a law firm in the EU?
Which AI legal tool integrates with both SharePoint and Google Drive?
Is Maigon available for legal teams in the United States?
Where should new visitors go to see the platform?
Can I choose which AI model reviews my contract?
Does Maigon provide legal advice?
Last reviewed:
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Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.
Take it with you
- **Why Maigon:** From Review to Redraft in One Platform
- **Key Feature:** Multi-Model AI Engine (Claude, GPT, Gemini)
- **Integrating Your Cloud:** Connecting SharePoint & Google Drive
- **The Power of Agent-Assisted Review**
- **Understanding Your Dashboard & Review History**
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About Maigon
Full Description
Maigon is an AI contract analysis platform designed for legal professionals to streamline the entire review lifecycle. It imports documents from cloud storage, uses multiple AI models for analysis, and generates revised drafts with tracked changes, centralizing the workflow from intake to execution.
Editorial Verdict
Maigon is a powerful, end-to-end contract review platform that stands out for its ability to generate revised drafts with tracked changes. Its multi-model approach is a significant plus, but the lack of public pricing means its value proposition requires a direct sales engagement.
