Chamelio, which is building AI tools designed to execute routine legal workflows and escalate only the cases that require human judgment, raised a $26M Series A

AI-powered legal workflow execution is now available for routine tasks, allowing in-house counsel to focus on supervision and strategy.

Chamelio, an Israeli startup developing AI software for corporate legal departments, has secured $26 million in a Series A funding round led by Entrée Capital. Existing investors Work-Bench and Emerge Ventures, along with Bright Pixel Capital, also participated. The company's annual recurring revenue has quadrupled in the eight months since its Seed round, and it now serves hundreds of customers, including major tech companies like Wiz and monday.com. Founded in 2024 by former Pagaya and AnyVision executives, Chamelio aims to replace traditional contract management systems with AI that can execute routine legal workflows, such as drafting, reviewing, and negotiating contracts. The new capital will fund the development of its legal action model, expansion of its engineering and product teams, and investment in onboarding technology. This funding arrives amid increasing workloads and stagnant budgets for corporate legal departments, with Chamelio betting on AI-driven efficiency rather than headcount increases.

Chamelio's approach signifies a market shift from contract management systems, which primarily store and organize legal documents, to AI platforms that actively perform legal tasks. By automating routine contract drafting, review, and negotiation, the company offers a direct alternative to traditional Contract Lifecycle Management (CLM) software. This move indicates a broader trend towards AI agents capable of integrating with various business functions beyond the legal department, such as procurement and finance, suggesting a future where AI supports a wider range of corporate operations.

The substantial Series A funding for Chamelio underscores investor confidence in AI's disruptive potential within the legal sector, particularly in addressing budget and resource constraints faced by in-house legal teams. The company's strategy of enabling AI to handle low-risk, repetitive tasks while escalating complex cases for human review suggests a new division of labor. This model not only aims to enhance efficiency but also to fundamentally alter the role of in-house lawyers, moving them from execution to higher-level decision-making and oversight.