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Chamelio
AI-native legal intelligence platform replacing legacy CLM
Last verified September 23, 2026 · Updated daily
What Chamelio is building
Chamelio is an AI-native operating system for in-house legal teams, and the pitch is a deliberate shot at contract lifecycle management as a category. The company's own framing: move legal from storage into knowledge, and from a system of record into a system of action. A traditional CLM is a filing cabinet with a workflow engine bolted on. Chamelio treats the contract repository as training material for agents that then do the work. The primitives stack in that direction. At the base, automated metadata extraction, auto-tagging, custom columns, document linking and a legal knowledge vault, so the corpus is queryable rather than merely stored. Above that, Flows and an Agent Hub: agentic workflows that execute multi-step tasks across the legal lifecycle, automated intake routing and triage, task and matter management. At the negotiation layer, AI redlining inside Word, playbooks, and a playbook generator that derives a company's negotiating position from its own history of what it actually conceded. Then agentic legal research, plus dashboards that surface where a legal team's time is genuinely going and which approval steps are the bottleneck. Integrations run to Salesforce, HubSpot, Slack, NetSuite, Google Drive, SharePoint and DocuSign, because in-house legal work happens in other people's tools. The positioning line is the sharpest thing on the site: AI without your specific context is just a confident stranger. A generic model can tell you what a limitation-of-liability clause usually says. It cannot tell you that your company has accepted mutual caps at 2x fees eleven times and refused 3x twice, and which deal sizes moved that line. That institutional memory, contracts, past negotiations, templates, prior decisions, is what Chamelio turns into the platform's operating context, and it is what the newly funded 'legal action model' is meant to formalize.
Why this matters
The growth curve is the argument. ARR grew 4x in the roughly eight months between the $10M seed in January 2026 and this round, and the customer list is not the usual legaltech mix of design partners: Wiz, monday.com, Socure, AppsFlyer and Wonderful, with hundreds of customers overall. Fast-scaling tech companies are the hardest in-house legal buyers to impress, because their legal teams are small, permanently underwater, and completely unsentimental about tools that do not remove work. That buyer pressure is the timing. In-house legal is one of the few enterprise functions where headcount genuinely cannot scale with the business, and where the work is overwhelmingly textual, precedent-driven and internally repetitive. It is close to the ideal shape for agents. The reason it has stayed unsolved is that the stakes make generic output worthless: a plausible-sounding clause recommendation that contradicts your own prior positions is worse than no recommendation, because a lawyer has to verify it anyway. Which is why the context argument is the whole business rather than marketing. Zilberman's line on the raise is that AI in legal shows dividends when it can make decisions intuitively, built on the corporate intelligence of each business. Legacy CLM vendors have the documents but not the model; foundation-model wrappers have the model but not the documents. Chamelio's bet is that whoever owns the ingestion and the institutional memory owns the agent layer on top of it, and the 4x in eight months suggests buyers agree.
Open roles at Chamelio
9 positions we're tracking. Roles are re-checked daily and removed when filled.
Fullstack Engineer (Tel Aviv, R&D)
First seen today
Applied AI Attorney (Tel Aviv, Legal)
First seen today
Legal Engineer (United States)
First seen today
Founding GTM Engineer (United States)
First seen today
Head of Demand Gen (United States)
First seen today
Head of Sales Development (United States)
First seen today
Account Executive (United States)
First seen today
Lead Customer Success Manager (Tel Aviv and United States)
First seen today
GTM Talent Acquisition Partner (United States)
First seen today
Know when Chamelio is hiring before anyone else
A role stays uncontested for about four days. Here's the window — and where we put you in it.
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Watching Chamelio
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+Hiring outlook
The funding announcement names team expansion as a direct use of proceeds: the legal engineering and product teams specifically. Ten roles are live on the Ashby board across R&D, Legal, Sales, Marketing, Customer Success and G&A, split between Tel Aviv and the US, and one of them is a GTM Talent Acquisition Partner, which is what a company posts when it intends to hire a lot more.
Working at Chamelio
Chamelio is a AI company based in New York, USA & Tel Aviv, Israel. Working at a AI company at this stage means opportunity to shape your role based on the company stage.
New York, USA & Tel Aviv, Israel is where most Chamelio positions are located.
How to actually get hired at Chamelio
Why applying the normal way doesn't work
Chamelio runs an applicant tracking system, but hiring managers still work referrals first. A cold application to Chamelio isn't dead, it's just fourth in line behind internal referrals, sourced candidates and recruiter pipelines.
Who to contact at Chamelio
What to show them
Build the thing the job description asks for, at small scale, and show the plumbing. Pick a target segment of in-house legal teams, then wire enrichment to scoring to routing to outbound end to end, ideally across the named stack of Clay, n8n and a CRM. The part that will separate you: instrument it. Show the intent signal you chose, why you chose it, what it predicted, and the point at which you stopped using the no-code tool and wrote against the API instead, because the posting explicitly asks for that judgment.
A cold email that works at Chamelio
What Chamelio screens for
Entrée Capital leading with Work-Bench following is a specific combination: Work-Bench is a New York enterprise-infrastructure fund whose whole practice is selling into large US enterprises, and Chamelio is an Israeli-founded company whose US commercial roles, Account Executive, Head of Demand Gen, Head of Sales Development, Founding GTM Engineer, GTM Talent Acquisition Partner, are all posted for the United States while R&D stays in Tel Aviv. Read that split literally. This round is funding a US enterprise go-to-market build-out on top of Israeli engineering. 4x ARR in eight months means the commercial motion is already working and they are staffing to pour into it rather than to find it. If you are US-based and commercial, you are hiring into proven demand. If you are Tel Aviv and technical, you are hiring into the legal action model the round was explicitly raised to build.
A tailored CV beats a generic one. Use Chamelio's job description language to clear filters.
Don't make these mistakes
The 'AI is going to transform legal' opener. Alex is a two-time founder who was COO and co-founder of AnyVision and held leadership roles at Pagaya; Gal founded an AI company that Sage acquired and then ran senior AI leadership there. They have both shipped applied AI into regulated enterprise buyers already, and Chamelio's entire public positioning is a rejection of that framing: AI without your specific context is just a confident stranger. A demo of retrieval over a pile of contracts is exactly the confident stranger they are arguing against. Bring instead a concrete instance where context was the failure, a clause a general-purpose model recommended that contradicted the company's own prior negotiated position, and what you would have needed to catch it.
Mistakes that kill Chamelio applications
A recycled CV gets rejected fast at Chamelio ( people). They notice.
Don't open with what you want. Open with what Chamelio is dealing with right now — The growth curve is the argument, and what you'd do about it.
Most AI applications get ghosted. A day-five follow-up can double your response rate.
Applying to Chamelio? Get the contact, not the form.
The Chamelio interview process
4 stages · 14 days typical · take-home: yes · modelled from similar companies
We don't yet have verified candidate reports for Chamelio. What follows is the typical process for a -person AI company — treat it as a model, not confirmed detail.
Interview stages
Recruiter Screen
Phone or video · 30 min
Basic qualification and logistics
Recruiter or HR
Hiring Manager Interview
Video call · 45 min
Role fit and experience deep-dive
Hiring manager
Technical/Functional Round
Video call · 60 min
Skills assessment and problem-solving
Team members
Final Round
In-person or video · 60 min
Culture fit and cross-functional alignment
Senior leadership
Chamelio take-home assignment
Chamelio includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.
Chamelio interview timeline
Timeline: ~ days. That's about average than the AI median (14 days at people).
Interviewed at Chamelio?
Tell us how it went — stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.
Submit your Chamelio interview experience →Chamelio jobs, frequently asked questions
How many jobs does Chamelio have open?
As of September 2026, Chamelio has 9 open positions.
Does Chamelio hire remotely?
Chamelio doesn't have remote openings at the moment. All roles are in New York, USA & Tel Aviv, Israel.
What roles is Chamelio hiring for?
Chamelio is hiring across Engineering, Data, Other, Product, Sales, Customer, Design. The most recent opening is Fullstack Engineer (Tel Aviv, R&D).
How do I apply for a job at Chamelio?
Apply via the links above. For tips, read our guide on how to get hired at Chamelio.
Does Chamelio respond to cold emails?
Response rate data for Chamelio not yet confirmed.
Who is the hiring manager at Chamelio?
At this size, hiring is usually run by the hiring manager.
How competitive is it to get hired at Chamelio?
Expect 100-250 applicants in the first two weeks for AI roles at this size. Apply within 72 hours for best odds.
How many rounds is the Chamelio interview?
4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.
Is the Chamelio interview hard?
Expect technical depth and system design, not algorithm trivia. Candidates report Technical Interview as the toughest stage.
Does Chamelio give a take-home task?
Yes, Chamelio includes a take-home assignment.
How long does Chamelio take to get back to you?
Around 14 days across the full process.
What should I prepare for the Chamelio interview?
technical depth and system design is the priority. Show you can work autonomously — that matters more than algorithms at people.
Where is Chamelio based?
Chamelio is headquartered in New York, USA & Tel Aviv, Israel.
Get Chamelio roles before they're posted
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $5.99/week, cancel any time.
Watching Chamelio
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+Related
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