WiseLaw Launches New Funding Round to Redefine the Future Paradigm of Legal Services

Introduction

As cross-border enterprises face multi-jurisdictional compliance reviews, traditional manual models can no longer meet the demands of global efficiency. WiseLaw utilizes a cloud platform to achieve minute-level legal clause recognition and risk identification, deploying an intelligent agent collaboration network to cover the entire legal decision-making process across multiple jurisdictions.

This emerging force, born at The Hong Kong Polytechnic University, is redefining the standards of legal services.

1 Project Overview: From Hong Kong to the World

In 2022, generative AI emerged and developed rapidly. Professor Lu Haitian of The Hong Kong Polytechnic University, drawing on two decades of legal practice and interdisciplinary vision, keenly recognized the opportunity for AI to reshape legal services. Supported by Hong Kong government research funds and the university’s incubation system, Professor Lu officially founded WiseLaw with a cross-disciplinary team in 2024.

While most were still using general AI for contract review, WiseLaw chose to tackle the hard nut of "multi-jurisdictional collaboration." Based in Hong Kong as a hub, the team deeply integrated the common law system with the needs of mainland enterprises expanding overseas, creating an AI legal platform that covers 75 countries and 27 cross-border compliance themes—from labour law updates in Southeast Asia to tax clause conflicts in the Middle East. The system, through 13 vertical agents across 18 key countries, provides legal compliance large model agent products, services, and solutions for global enterprises, financial institutions, and law firms, helping businesses expand overseas efficiently, avoid legal risks, and achieve intelligent compliance.

2 Market Pain Points: The Legal Dilemma of Cross-Border Enterprises

According to data provided by WiseLaw, by the end of 2025, the number of Chinese enterprises with overseas operations will exceed 800,000. While the wave of global expansion is surging, blind advancement could lead to legal services facing issues of "incompatibility" in practical applications.

Although AI legal tools are now widespread, they struggle with complex cross-border legal scenarios—often misinterpreting professional regulations and precedents, frequently generating "hallucinations" that can misguide decisions and even trigger legal risks.

What's even more difficult is, when enterprises encounter emerging regulations or customized needs, these systems are often helpless, unable to quickly adapt. In practice, lawyers still have to spend significant time revising poorly formatted document translations and templates, rendering efficiency improvements theoretical.

Finally, and most sensitively, is the concern over data security. Legal compliance work inherently involves large amounts of core corporate data and client privacy. If general models cannot support secure private deployment, It is equivalent to exposing this sensitive information to uncontrollable risks, with the possibility of data leakage hanging like a "Sword of Damocles" over cross-border enterprises.

These four shortcomings are intertwined, creating obstacles that current general technical solutions struggle to overcome, yet they also present an excellent opportunity for WiseLaw to break through in professional cross-border legal services and enter the global market.

3 Industry Analysis: A Breakthrough Moment for Cross-Border Legal Services

Explosive Demand： By the end of 2025, Chinese enterprises with overseas business will exceed 800,000, giving rise to a cross-border legal service market worth hundreds of billions.

Technological Tipping Point： According to the Hong Kong Law Society, the adoption rate of legal AI surged from 20% in 2023 to 79% in 2024. Models like DeepSeek have significantly reduced deployment costs, making the cross-disciplinary integration of law and AI possible.

Efficiency Revolution： AI can replace 58% of lawyers' basic work, saving an average of $27,000 per person annually (data disclosed by Professor Lu in an interview). For professional agencies, this is an efficiency revolution reducing costs and increasing efficiency.

4 Product Advantage: Hong Kong DNA Breaks Through Competition Barriers

While US competitors valued at $5 billion struggle with geopolitical constraints, WiseLaw's Hong Kong origins translate into unique advantages. Hong Kong's status as an international financial centre and its common law system make it a natural hub connecting the mainland with global markets. WiseLaw has already been granted entry to the Qianhai Dreamworks incubator and Hong Kong research funds, further helping to open up dual markets: relying on the domestic market while facing overseas.

Professor Lu Haitian stated in an interview, "Our vision is that in the future, 70% of basic legal matters will be handled through human-machine collaboration, with human lawyers focusing on the 30% of value-based negotiation."

5 Competitor Analysis: Bringing Legal Tech Down to Earth

Unlike international legal AI tools like Harvey and Casetext, which focus on general contract review, WiseLaw is rooted in Hong Kong's cross-border context, precisely addressing the multilingual compliance and cross-jurisdictional collaboration challenges of enterprises expanding globally.

In the meantime, international legal agent counterparts like CoCounsel and Lexis+, which chase general platforms, often lack support for flexible customization. WiseLaw's "3+1+N" architecture provides far greater flexibility than pure cloud products, especially suitable for financial institutions with high data security requirements.

Clio 2024 data shows that although AI adoption in the legal industry reaches 79%, professional hallucinations and data security remain widespread concerns. WiseLaw effectively mitigates risks through knowledge traceability citations, privacy protection mechanisms, and hybrid cloud deployment. Meanwhile, competitors like LawGeex, which excel in contract automation, lack the ability to integrate into the cross-border ecosystem.

While international players still struggle with data security and cross-jurisdictional flexibility, WiseLaw has deeply refined vertical scenarios, tapping into the underlying needs of cross-border compliance. The current task is to allow this vertical engine to drive a broader business ecosystem.

6 Business Model: Full-Stack Products + Ecosystem Integration

As an AI technology company focused on cross-border legal scenarios, WiseLaw employs a "3+1+N" full-stack AI core product architecture, covering cloud, low-code customization, and local secure deployment to meet diverse enterprise needs from general compliance consulting to deep customization and highly sensitive data processing.

WiseLaw has established a diversified business model:Its web-based platform (WiseHub) operates on a “platform universal card + exclusive agent card” payment model;customized development (WiseCraft) enables enterprises to rapidly build custom-built legal agents;and local deployment solutions (WiseStudio) deliver integrated software and hardware services.

Its core competitiveness lies in constructing an ecological network that "connects professional agents, practical toolchains, and licensed lawyer resources." Using AI tools to enhance efficiency, coupled with a professional lawyer ecosystem to ensure reliability—providing intelligent infrastructure services with "human-machine collaboration" for global corporate compliance operations.

7 Operational Status: Focusing on Product Validation and Ecosystem Building

WiseLaw currently focuses on B-end professional services, validating its business model through three types of services: cloud subscriptions (WiseHub), customized agent development (WiseCraft), and integrated software-hardware local deployment (WiseStudio).

According to disclosures from the marketing department, the team is accelerating the internal testing of the dual-track model of "AI efficiency + lawyer-guaranteed professionalism." The product is expected to be gradually launched to the market after closed-loop validation. Professor Lu Haitian underscored in an exclusive interview:"Human-machine collaboration in handling legal affairs, with lawyers overseeing every step—that is my vision."

8 Development Plan: Three Core Areas, Synergistic Efforts

In outlining the future blueprint, Professor Lu Haitian clearly described WiseLaw's three key focus areas.

"The primary goal is to make cross-border legal services truly 'accessible to the general public'," Professor Lu emphasized. "Through our AI agents, small and medium-sized enterprises can also obtain high-quality compliance support at an affordable cost, lowering their barriers and risks in global expansion. This will make the entire cross-border legal ecosystem more active and healthy."

Secondly, WiseLaw is attempting to reshape the legal service production line. "Agents are not simple tools but new 'growth partners' for law firms and various legal service institutions. They can help optimize internal processes, innovate service models, and more importantly—through 'co-creation' with professional institutions, we transform precious legal knowledge into reusable digital assets. This in itself is a revolution."

"The ultimate goal is to build an intelligent-driven global legal 'collaboration network'," Professor Lu described. "Imagine: AI handles large volumes of repetitive legal tasks; lawyers simultaneously focus on confirmation, judgment, and high-value links in critical areas. This dual-track model connects enterprises and financial institutions on the demand side with law firms and service agencies on the supply side, all on a secure, reliable, and real-time responsive platform. This is our vision of the ideal form of future legal services—a cross-border legal intelligent ecosystem empowered by AI and human-machine collaboration."

9 Funding Plan: Technology - Market - Ecosystem

According to Professor Lu, WiseLaw has already received support from The Hong Kong Polytechnic University's TSSSU+ program, PolyVentures incubation, and the Cyberport incubation program. It has also been selected for the NVIDIA Inception Program, securing a total of several million USD in angel round funding.