Molecular Matrix Technology launches "AI Legal Appraisal" to relieve entrepreneurs' legal anxiety

The AI contract review service "Contract guard" under Molecular Matrix Technology has officially launched its public beta test and is seeking a Pre - A round of financing of 1 million RMB. In this round of financing, 15% of the equity is planned to be sold, and the funds will be mainly used for the optimization of the core algorithm model, the construction of a unique legal data closed - loop, and the expansion of the B - end market in the next 18 months.

Addressing the Pain Points: Entrepreneurs' Anxiety in the "Non - standard Trap" of Contracts

In the rapidly developing Chinese business environment, an invisible "trust barrier" has long troubled tens of millions of small and medium - sized enterprises and ordinary entrepreneurs. The high cost and long process of traditional legal services often leave them in a passive and anxious state of "not understanding and not daring to sign" when facing complex and customized commercial contract terms. This risk exposure and psychological pressure caused by extreme information asymmetry are defined by the Molecular Matrix team as the "lack of legal trust" in the entrepreneurial process.

The Molecular Matrix team believes that this lack not only increases the potential litigation risks of enterprises but also directly inhibits entrepreneurs from making more decisive and high - value decisions in business cooperation. Aiming at the core pain points of the industry, such as "high cost, low efficiency, and difficulty in identifying non - standard risks", Contract guard uses self - developed AI technology as the engine to build an all - link "integrated risk protection center" covering document parsing, role positioning, and risk identification, and is trying to initiate an efficiency revolution in legal protection.

Empowered by AI: From "Clause Identification" to "Position Protection"

Different from most AI tools based on general large models in the market, the core logic of "Contract guard" is to transform cold legal provisions into risk guidelines with a position and confrontation, making AI the user's "silent lawyer". Its technological barriers are composed of an AI model deeply optimized for the Chinese legal system, a unique closed - loop of lawyers' practical data, and a highly localized founding team.

Technological Aspect: "Contract guard" has self - developed a "role position scheduling framework". Through intelligent analysis of the user's identity in the contract (such as the party A, supplier, etc.), the AI model can automatically switch to the confrontational perspective of interest preference. At the same time, through strategic cooperation with law firms, the platform is building a unique knowledge graph of non - standard contracts composed of lawyers' modification opinions and red - line manuscripts, which is the strategic cornerstone for it to train more powerful vertical models in the future and ensure the professional reliability of the review results.

Product Aspect: The core value lies in the "reliable revision plan". The AI planning engine can perform high - precision parsing on Word, PDF, and even scanned documents. The risk report provided by the platform integrates item - by - item risk analysis and professional draft revision clauses, transforming complex contract problems into efficient, orderly, and executable correction instructions, and completely solving the problem of entrepreneurs "knowing there are risks but not knowing how to fix them".

International Strategy: Strategic Considerations for the First Stop in Nigeria

Given the increasingly fierce competition in the Chinese legal technology market, the Molecular Matrix team has formulated a bold internationalization strategy, choosing Nigeria, the largest economy in Africa, as the first stop for going global. This decision is based on multiple strategic considerations: Nigeria has the largest and youngest entrepreneurial population in Africa, with an extremely strong demand for efficient and affordable legal services. At the same time, the high complexity of its inherited Anglo - American legal system (Common Law) and local laws makes the cost of traditional lawyer services remain high, providing a high - value entry point for Contract guard's AI risk review capabilities. The high penetration rate of mobile Internet and the active technology ecosystem (FinTech Hub) also ensure that the product has the foundation for rapid digital promotion and commercial implementation. By verifying the model adaptability and business model of AI in a new legal system in Nigeria, Contract guard will lay a solid foundation for subsequent entry into the broader African and global markets.

Business Path of C - end Traffic and "Data Empowerment"

Contract guard has designed a clear business path from the C - end to the B - end:

First Stage (1 - 2 years): Build a data barrier. By providing free AI preliminary review services, quickly accumulate a large number of C - end users and contract samples, and complete the professional verification of the core model in the market.

Second Stage (after 3 years): Achieve industrial empowerment. After having a large user base and exclusive professional data, launch the B - end SaaS subscription service for law firms and corporate legal departments. At the same time, start high - value case referral for high - risk users, and become a bridge connecting ordinary users and professional legal services.

Xu Chengyi, the founder of Molecular Matrix Technology, said: "Our original intention of starting a business stems from our deep understanding of the legal anxiety of ordinary entrepreneurs. We firmly believe that the greatest value of technology lies in eliminating inequality in the real world. 'Contract guard' is not just a tool. We hope it can become a solid backing that gives entrepreneurs peace of mind and strength at every critical moment."

One of the core goals of this round of financing is to introduce top - notch legal data experts to improve the core technology team. According to the development blueprint, the company plans to achieve the accuracy standard of the AI model in specific vertical fields within 12 months after financing and start exploring the B - end subscription model; establish a leading position in the regional market within 18 months and start the Series A financing.

Public beta test experience website: https://f-ji-n-182129586572.us-west1.run.app