What are you actually feeding an AI assistant?
Be honest about the inventory. For an AI Chief of Staff to do real work on your desk, it needs your candidate files. Your client list, with the fee attached to each name. Your pipeline, including which deals have gone quiet. The promise you made a hiring manager on Tuesday and the pattern in how that GC actually makes offers. That's not usage data or exhaust. That is the business. A construction desk is, at bottom, a list of superintendents and PMs your competitors haven't mapped, plus everything you know about the clients paying $28K fees to reach them.
Hand someone that list and that fee schedule and they could run a rough copy of your desk by Friday. So before you ask what an AI tool can do, ask a colder question: where does all of this go when I paste it in?
Where does your data go on a cloud platform?
The default architecture for AI platforms is cloud. Your conversations, your uploads, and the accounts you connect live on the vendor's servers. Those servers sit on top of subprocessors: other companies the vendor relies on for hosting, storage, and processing. Each one is listed in a policy document you probably haven't read, and each one is another place your candidate list now exists.
Some general-purpose platforms go a step further with workspace-shared integration tokens. Connect an account and the connection belongs to the workspace, not to you. In a shop of one that's a footnote. In a firm, it means the boundary around your email or your CRM is drawn by the platform's sharing model, not by you.
None of this is villainy. It's standard SaaS design, and for most business data it's fine. Your marketing calendar can live on someone else's servers without keeping you up at night. Recruiting data is different for one structural reason: the list is the product. When the data is the whole business, every additional copy on infrastructure you don't control is real exposure, not theoretical exposure.
What does the local alternative look like?
The other architecture: the AI installs on your machine, and the data stays where the work happens. This is how RecruiterClaw is built. Memory, client profiles, conversation history, candidate files, all of it lives on the recruiter's own machine. RecruiterClaw operates no servers holding client data. There is no central RecruiterClaw database of your clients to breach, subpoena, or quietly mine, because it doesn't exist.
Credentials follow the same rule. Your email, calendar, and ATS credentials sit in your machine's encrypted keychain, the same place your computer keeps its own passwords. Not in a vendor's token vault. Not shared across a workspace.
Documents too. Drop a scanned resume, a Word doc, a screenshot, or an iPhone photo of a business card into Slack, and the OCR and document reading run on-device. The page gets read where it landed. Nothing leaves the machine to get understood.
The benefit isn't abstract compliance comfort. It's that you can connect the AI to the real desk, the actual fees and the actual pipeline, without deciding how much of your business you're willing to park on someone else's infrastructure. The useful version of an AI Chief of Staff needs everything. Local architecture is what makes giving it everything a sane decision.
What happens to your data if you leave?
Here's the simplest ownership test there is: stop paying, and see what you're left with. On a cloud platform, your history and files live behind the vendor's login, and leaving usually means an export window and a deadline. On a local install, the test is boring, which is the point. Stop using RecruiterClaw and nothing disappears. The candidate files are still your files. The memory of your desk is still sitting on your machine. The CSVs are still CSVs.
We put it plainly on purpose: you own your data, we don't. That line isn't marketing draped over the architecture. It's a description of the architecture. We couldn't hold your data hostage if we wanted to, because we never had it.
Is local the right choice for everyone?
Honest answer: this is a tradeoff, and we picked a side. Cloud platforms are genuinely good at what cloud is good at, and for teams whose data isn't the product, that architecture serves them well. A local install is a different kind of commitment than a browser tab. In our case the install is white-glove and remote, you're live in 48 hours, and you never touch a terminal, but it's still software on your machine rather than a login on someone else's.
We built it this way because RecruiterClaw was built by recruiters, people who spent 30+ years building lists the hard way and know exactly what one is worth. When the question is where the business itself should live, we chose the recruiter's side of the table. If you're privacy-conscious enough to have read this far, you probably already agree.
What data do recruiters actually give an AI assistant?
The whole desk. Candidate files, client profiles with fees attached, pipeline status, the promises you made and the patterns in how your clients hire. For an AI Chief of Staff to be useful it has to know all of it, which means the question of where that data lives is really the question of where your business lives.
Is cloud AI unsafe for recruiters?
Not unsafe, just an architecture. On a cloud platform your conversations and connected accounts sit on the vendor's servers, which sit on their subprocessors, and some platforms share integration tokens across the whole workspace. That's normal SaaS design and it's fine for plenty of data. Recruiting is different because the candidate list is the product, so every extra place it exists is real exposure.
Where does RecruiterClaw store recruiting data?
On your machine. Memory, client profiles, conversation history, and candidate files all live locally. RecruiterClaw operates no servers holding client data, and your email, calendar, and ATS credentials sit in your machine's encrypted keychain rather than a vendor's token vault.
Does document reading happen on my machine?
Yes. Drop a digital PDF, a scanned PDF, a Word doc, a screenshot, or an iPhone photo into Slack and OCR runs on-device. Nothing leaves the machine to get read.
What happens to my data if I stop using RecruiterClaw?
Nothing disappears. The files were always on your machine, so canceling doesn't put your candidate records or client notes behind someone else's login. You own your data. We don't.