Chamelio has raised a $26 million Series A to build AI agents that execute entire legal workflows, not just draft clauses. Entree Capital led the round, reported on September 22, pushing the company's publicly announced funding to $10 million following a $5.7 million seed round in January. The bet is that corporate legal departments will swap contract storage systems for software that can carry routine work from intake through signature.
Three founders covering the full legal workflow
CEO Alex Zilberman previously held leadership roles at fintech company Pagaya and co-founded facial-recognition developer AnyVision. COO Gil Banyas spent 15 years in legal and operations roles, including serving as AnyVision's general counsel. CTO Gal Lellouche built Task Sheriff, an AI accounting business acquired by Sage, and later held senior AI leadership roles at the British software group.
The founding team reflects a structural problem Chamelio is trying to solve. Corporate legal knowledge scatters across contracts, email, negotiation history, internal policies and the memories of individual lawyers. A signed agreement may be safely stored while the reasoning behind its clauses, exceptions and approvals disappears. Zilberman calls that loss "corporate amnesia."
"The mistake in legal AI has been assuming the future simply looks like today's lawyer with faster contractual fact-checking," Zilberman told CTech. Chamelio's answer is a shared intelligence layer assembled from a customer's contracts, playbooks, policies and earlier decisions. Agents grounded in that material can execute repeatable work while escalating questions that require legal judgment.
From repository to operating layer
The platform covers intake, drafting, review, negotiation, approvals, signing, contract storage and post-signature obligations. Its Microsoft Word sidebar can suggest redlines using a legal department's prior agreements and playbooks. Customers can build workflows that classify requests, coordinate approvals, collect signer information and prepare agreements for execution.
Chamelio's pitch is that legacy systems record what happened, while its agents keep work moving after a lawyer closes the application. The replacement claim remains a positioning statement. Chamelio has not published data showing how many customers have removed an incumbent contract-management system or how much work proceeds without human intervention. Legal departments can configure the software to handle lower-risk work autonomously or require a lawyer's approval.
Chamelio says annual recurring revenue has quadrupled since the January seed and that it serves hundreds of customers, including Wiz, monday.com, Socure, AppsFlyer and Wonderful. Those figures are self-reported. The fourfold ARR claim lacks an absolute revenue figure, leaving the scale of the business unclear. Its valuation in the Series A is also undisclosed.
Legal AI becomes a workflow contest
Chamelio is pursuing legal departments as their workload rises faster than staffing. The Association of Corporate Counsel's 2026 findings showed that 35% of chief legal officers viewed budget and resource constraints as their top barrier to success. The Corporate Legal Operations Consortium reported that only 32% of legal departments expected to add attorney headcount in 2026.
That pressure has attracted capital to products that promise capacity without another lawyer. Checkbox raised a $23 million Series A in January for software that automates legal intake and routes higher-risk matters to humans. In June, Relativity acquired Gavel to bring AI drafting and automation into Microsoft Word. The category is converging around control of the workflow around a legal decision, rather than the isolated generation of a clause or summary.
Chamelio's Word add-in can read and modify documents and send data over the internet, according to its Microsoft Marketplace listing. Those capabilities are central to automated review, and they put confidentiality, permissions, audit trails and approval controls directly into the buying decision. Chamelio says its security program includes encryption in transit and at rest, restricted access to customer data, third-party penetration testing and SOC 2 Type II compliance. Legal buyers will still judge the product by whether its agents behave consistently when an agreement carries unusual language, conflicting precedents or material liability.
Why this matters for legal professionals and writers
The shift from drafting assistants to workflow agents changes what legal teams expect from software - and what they expect from the people who configure it. Legal professionals who understand how to design intake workflows, set escalation rules and audit agent decisions will be the ones shaping how these tools get deployed. For legal writers and contract specialists, the value moves upstream: defining playbooks, standardizing clause libraries and structuring the knowledge layer that agents draw from. Courses in AI for Legal Professionals and AI Agent Courses address the skills needed to build and govern these systems, rather than simply use them.
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