Chamelio raises $26M to make legal software do the legal work

Why it matters

Chamelio's round backs a larger shift in legal AI from drafting assistants to agents that execute whole workflows. Winning requires trust, controls and measurable replacement of legacy systems, not another impressive contract demo.

Alex Zilberman, Gil Banyas and Gal Lellouche have raised a $26 million Series A for Chamelio, their attempt to replace contract storage systems with AI agents that can carry routine legal work from intake through signature.

CTech reported on September 22nd that Entree Capital led the round. Chamelio plans to spend the capital on its legal action model, legal engineering, product hiring and technology for onboarding customers.

On January 27th, Chamelio announced that a $5.7 million seed round following a pre-seed had brought its total publicly announced funding to $10 million, according to the financing announcement. Chamelio has not stated an official cumulative total after the Series A.

That is a fast return to the market for a business founded in 2024, and it reflects the size of the founders' wager: Chamelio wants to own the system where corporate legal work is requested, performed, approved and remembered.

Three founders, three parts of the legal workflow

Chamelio's founding team covers the functions that legal software has struggled to join together. Zilberman, Chamelio's CEO, previously held leadership roles at fintech company Pagaya and was co-founder and COO of facial-recognition developer AnyVision, later renamed Oosto. Banyas, Chamelio's COO, spent 15 years in legal and operations roles, including serving as AnyVision's general counsel. Lellouche, Chamelio's CTO, built Task Sheriff, an AI accounting business acquired by Sage, and later held senior AI leadership roles at the British software group.

Corporate legal knowledge gets scattered 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 has described that loss as "corporate amnesia." His current argument goes further. "The mistake in legal AI has been assuming the future simply looks like today's lawyer with faster contractual fact-checking," he told CTech.

Chamelio's answer is a shared intelligence layer assembled from a customer's contracts, playbooks, policies and earlier decisions. The founders are betting that agents grounded in that material can execute repeatable work while escalating questions that require legal judgment.

From contract repository to operating layer

The Chamelio 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. Chamelio also says customers can build workflows that classify requests, coordinate approvals, collect signer information and prepare agreements for execution.

That breadth matters because the founders are selling a replacement for contract lifecycle management software, rather than another assistant layered onto it. Chamelio's pitch is that legacy systems record what happened, while its agents can 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, according to CTech.

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.

In January, Chamelio reported approximately 100 customers. The newer description of "hundreds" indicates a larger customer base, though Chamelio has not supplied a precise count, retention figure or customer concentration data. Its valuation in the Series A is also undisclosed.

Legal AI is becoming 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 the same prize: control of the workflow around a legal decision, rather than the isolated generation of a clause or summary. Chamelio is trying to cover more of that workflow in one product, from the first request to obligation tracking after signature.

That ambition creates a demanding enterprise sales test. 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.

The founders have built Chamelio around a practical division of labor: agents perform repeatable steps, lawyers supervise exceptions and make decisions with consequences. The $26 million round gives them the capital to prove that model inside departments where a plausible answer is insufficient and every action needs a record.