Chamelio Raises $26 Million to Automate In-House Legal Operations

Chamelio has raised $26 million in a Series A led by Entrée Capital, five months after its seed round, as the legal technology company targets contract work that traditional management systems leave to lawyers. The New York-based startup said annual recurring revenue has quadrupled since that earlier financing and that it now serves hundreds of customers, including Wiz, monday.com, Socure, AppsFlyer and Wonderful.ai.

Chamelio’s financing arrives as corporate legal departments face rising demand without equivalent growth in budgets or attorney headcount. The Association of Corporate Counsel identified resource constraints as a major obstacle for legal teams, while the 2026 State of the Industry Report from the Corporate Legal Operations Consortium found that only 32% of departments expect to increase attorney staffing this year. Those pressures are pushing buyers beyond document repositories and workflow tools toward legal AI that can execute defined work.

Founded in 2024 by Alex Zilberman, Gal Lellouche and former general counsel Gil Banyas, Chamelio combines contract drafting, negotiation, intake, approvals, obligations and legal workflows in one platform. Its software uses a proprietary legal action model to perform routine tasks, with customers able to set autonomous handling for lower-risk matters or require lawyer review. Entrée led the round, joined by existing backers Work-Bench and Emerge Ventures, as well as Bright Pixel Capital. Chamelio plans to expand its legal engineering and product teams, develop the model and improve migration and onboarding. The platform connects with Salesforce, Slack, NetSuite and procurement systems, while its legal engineers help customers move repositories and processes from incumbent contract lifecycle management tools.

Industry Implications

The round reflects a shift in legal software competition from storing agreements to taking action across the contract lifecycle. That raises the bar for established CLM vendors, which must show that their systems can support decisions and execution rather than merely route approvals or preserve records. For enterprise legal buyers, the appeal is clear: AI agents could absorb repetitive work while attorneys retain control over exceptions and higher-consequence judgments. But adoption will depend on how companies define authority, document decisions and govern systems that interact with procurement, finance, sales and other functions. Deloitte’s projection that AI agents could represent 30% of a legal team within three years underscores the size of the potential shift, while also highlighting the need for legal engineering skills alongside traditional legal expertise.

DreamLegal Perspective

Legal technology vendors should treat autonomous execution, migration and governance as one buying decision, not separate product features. Legal operations teams evaluating AI agents should test performance on bounded workflows, establish escalation rules and measure outcomes beyond review speed, including exception rates and attorney time reclaimed. Chamelio’s growth will be worth watching for evidence that its model can move from early-adopter deployments into repeatable enterprise operations without weakening legal oversight.