Meet Wequity - AI-Powered Legal Technology

Wequity, a Brussels-based legal tech startup founded in 2021, is revolutionizing how organizations handle ESG compliance and legal documentation. With €2.6 million in funding, the company operates two complementary platforms: their flagship ESP compliance solution that automates complex ESG data collection and reporting, and a Node.js-based platform for legal forms targeting legal professionals.

Led by Co-Founder Franck-Victor Laurant, Wequity leverages their strategic Brussels location near the European Commission to stay ahead of evolving regulations. Since launching in February 2024, they've completed over 100 projects, helping clients navigate complex compliance requirements through AI-powered automation. Their proximity to European regulatory bodies provides invaluable insights into upcoming changes, allowing them to build solutions that keep clients compliant with emerging standards like the Corporate Sustainability Reporting Directive (CSRD).

What sets Wequity apart is their focus on practical AI implementation in legal workflows, transforming traditionally manual processes into streamlined, automated solutions that save time and reduce compliance risks.

Why cto.new - Seamless Linear Integration that Drives Results

Facing the typical startup challenge of delivering features quickly with limited engineering resources, Wequity began exploring AI coding agents in early September, 2025. After testing multiple solutions, they chose cto.new for many reasons, in particular its seamless Linear integration.

"What I really like with cto.new is that I can directly use it in Linear," explained Laurant. "Not being a full engineer, using Linear is much easier than using GitHub, Warp, all of these other tools. I can use a first agent called ChatPRD to basically clean up the PRD, and then I can just outsource it to cto.new. It's just very, very easy."

The Linear integration allows Wequity to assign tasks directly to Engine by mentioning @cto in comments or assigning issues to the AI agent. cto.new works asynchronously in its remote development environment, returning pull requests when complete. This workflow eliminates the friction of learning new tools while providing powerful AI assistance within their existing project management system.

Wequity's results speak for themselves: 40-50% of tasks pass QA testing on the first attempt, with another 25% requiring minor iterations. While 25% of tasks need reassignment to human developers, this performance represents significant time savings for routine frontend changes and simple implementations.

The company has implemented a structured quality assurance process around Engine Labs. QA testers review Engine's work, and when tasks don't meet requirements, they move Linear cards back to "in progress" status, allowing Engine to iterate and improve. This systematic approach ensures quality while maximizing the productivity gains from AI assistance.

From a business owner point of view, [it's about] saving time and delivering faster," Laurant noted. "Cto.new is free, saving up to $1000 a month in typical AI code agent fees, but it also saves me $5k in freelancing. It's very much worth it." 

Looking ahead, Wequity is expanding beyond frontend tasks to test cto.new with backend functions using Supabase and MCPs (Model Context Protocol), potentially automating even more of their development workflow.

Conclusion

If you’re interested in accelerating your development process like Wequity has, you can try cto.new for free. With integrations for Linear, GitHub, GitLab, and other popular developer tools, cto.new adapts to your existing workflow while providing the automation and efficiency gains your team needs.

And if you’d like to try Wequity's innovative legal technology head to Wequity and see how they're transforming legal and compliance workflows with AI-powered automation.