COMMUNITY EDITION · FAQ
Where your work lives, and who can see it.
Straight answers on storage, AI requests, memory, teams and pricing.
The short version: your files stay on your own computer by default, and content only leaves it when you choose to use an online feature. Connections to our services are encrypted with HTTPS, we never train models on your content, and we never sell personal data. These answers cover the Community Edition desktop app, mobile app, Office add-in and community website. Enterprise Edition is covered separately.
Where your files live
Where are my case files and conversations stored?
On your own computer. The desktop app keeps project files, conversations and logs locally, and you can use existing folders on your computer as projects. None of this is stored on our servers.
Importing a file doesn’t upload it anywhere. Content is only sent to a model when you ask the AI to work on something, and only what that task needs. Automatic AI tagging on import is off by default.
How do photos from my phone reach my computer, and how long does the cloud keep them?
On iPhone, the originals stay inside the app and are left out of iCloud and other system backups. When you send them to your computer through the cloud, the relay server only holds them briefly: as soon as your computer confirms receipt, the cloud copy is deleted. All that remains is a delivery record with no file content.
If a file is never collected, or a deletion hits a snag, a daily cleanup removes anything that has been there for 30 days. The original on your phone and the copy on your computer are yours to manage; deleting one doesn’t affect the other.
Do regular file transfers between phone and computer work the same way?
Same idea, different time limits: files sent from your computer to your phone wait in the cloud for 7 days, and files sent from your phone to your computer for 30 days, then they are cleaned up automatically. The relay is for delivery, not backup, so save anything important on the receiving device.
Do the Office add-in, website and sync features also keep everything local?
It depends on what they connect to. When the Office add-in connects to the desktop app on your computer, data stays local; when it connects to a cloud service, conversations and sync data are stored on that server. Conversations with the Skill drafting assistant on the website are stored on our server too.
Team and firm memory is shared between members, so it lives on our server. If you set up remote sync such as Git, memory is also synced to the repository you choose. Account, order and usage records are kept on our server for billing.
What should I back up before switching computers, uninstalling or closing my account?
Because your work lives on your computer, you’re in control of the backup. Before moving or uninstalling, copy your project files, conversation data and personal and project memory. Signing in on a new computer won’t bring back what was on the old one.
Deleting local files, shared cloud content, your website account and external sync copies are separate steps. The phone relay isn’t a backup. Please check diagnostic logs for case content before sending them to us.
Model training and AI memory
Will my case material be used to train a model?
No. AI WorkDeck uses existing AI models, and we never train models on your material. “Memory” is simply a readable, editable note of your preferences, case facts and working experience that is handed to the model as reference next time. The model itself doesn’t change.
Model requests go through OpenRouter to each model provider, which handles them under its own privacy policy; see the link below. For highly sensitive material, you can switch to a local model or consider self-hosting.
OpenRouter’s data handlingWhere is memory stored, and how do personal, project and team memory differ?
Personal and project memory is kept in a local database on your computer, where you can view, edit or delete it at any time. If you turn on Git sync, it is also synced to the repository you set up.
Team and firm memory is shared, so it lives on our server and only members of that organization can read it. Team admins manage team memory, and only managers in the head-office team can write to firm memory. Before adding something to shared memory, make sure it’s right for everyone who can see it.
What if the model remembers something wrong, or treats one case as a general rule?
Find that memory and edit or delete it. Keep anything specific to one case in project memory rather than team or firm memory. Memory is only a reference for the model and it can still misread it, so double-check key facts and rules before relying on them.
AI requests and data security
Can our firm use its own server and models so nothing leaves the office?
Yes. Community Edition can be deployed on your firm’s own server with a local model, so storage and processing happen in-house.
To keep everything truly in-house, switching to a local model isn’t enough on its own: other online features also need to be turned off or replaced with in-house services, such as cloud OCR, transcription, web search, the phone cloud relay, shared memory on our website and remote sync. Local models also vary in tool use, image understanding and other capabilities, so each needs testing and may not match the default cloud setup exactly.
If this is what you need, get in touch with your team size, the model you plan to use, the features you want to keep and your network requirements, and we’ll work out the setup together.
What leaves my computer when I use AI?
Only what the task needs: your question, the relevant conversation, file content you provide or the AI reads for that task, and any memory it uses. Your whole project isn’t sent by default.
When you chat with AI in the desktop app, the request goes straight from your computer to OpenRouter, which passes it to the model provider. It doesn’t pass through our servers, and we can’t see your conversations; our website only handles your account and usage billing. Other add-ins and online tools work according to their own settings.
Are my conversations saved anywhere besides my computer?
Desktop conversations and logs are saved only on your own computer, not on our servers. Content is stored on our servers only for the cloud features you choose to use: the cloud Office add-in, the Skill drafting assistant, shared team memory and the phone relay, each described above.
Whether a model provider keeps requests depends on its own policy; see OpenRouter’s explanation below.
OpenRouter zero data retentionHow do I decide whether AI is appropriate for a confidential matter?
Keep two things apart: organizing files locally doesn’t send their content anywhere, while asking the AI or an online tool to work on something sends the relevant content to that service. Before you start, be clear about what will be sent and where.
A common approach is to share only the excerpts the task needs and remove names, ID numbers and other details you don’t need. If a client or your firm requires that material never leaves, don’t give it to a cloud model; use a local model or a self-hosted setup instead.
Once I join a team, can colleagues see all my cases?
No. Joining a team doesn’t share the projects or files on your computer. Colleagues can only see what you add to shared team or firm memory, plus the usage information the team dashboard shows based on roles and settings. Whether project names are shown is a separate setting.
Invite members and grant admin rights only as needed, and keep one client’s confidential details out of memory the whole team can read.
Using it in legal work
Can I use statutes, cases and quotations from the AI as they are?
Not without checking. Go back to the original source and confirm the jurisdiction, publication and effective dates, the version, case number, court, and whether the quotation really supports the conclusion. Models can invent sources or misapply real ones.
Treat AI output as research material and first drafts. Findings of fact, legal analysis and the final work product still need the lawyer handling the matter to sign off.
What should I check closely in OCR, long summaries and contract edits?
Check names, amounts, dates, negations, clause numbers, attachments and tables that span pages. Recognition and summaries can miss details, and the model may not have seen the whole document.
Keep the original and compare versions. Review any change that affects rights or obligations, along with quotations and conclusions, by hand; a summary is no substitute for the underlying evidence.
What should I check before using a Skill, plugin or online tool?
Find out which files it reads, which services it contacts and what it can do. Third-party tools handle data under their own rules, and documents or web pages can contain hidden instructions that mislead a model.
Give trusted tools only the access they need, and look over important writes, deletions or outside submissions before and after they run. Never post client material, keys or passwords in the public community when asking for help.
Do the mainland, international and US sites share accounts and data?
The mainland site, aiworkdeck.com, runs separately from the overseas sites; accounts and online data aren’t shared. workdeck.ai and aiworkdeck.us are the same overseas system and share user data.
Connect the desktop app to the site where you registered and topped up. Switching the website language doesn’t move your account, balance or local projects.
Installation and region selectionHow does pricing work?
What is free, which online services are pay-as-you-go, how top-ups work and how commercial licences are handled. Commercial licensing is separate from the upcoming Enterprise Edition.
View costs, top-ups and licensing
First things first
Why does an open-source project charge?
To be clear: the software is free, and this project isn't in it to make money. What you pay for is the real cost of the outside services it calls on your behalf.
Open source, not-for-profit, free software
The desktop app is open source under the AGPLv3 and the full source is public. Downloading, installing, using and modifying it is free, with no subscription and nothing held back — commercial customers install the very same build. The licence is a legal distinction, not a different product. The project doesn't make money selling software, and the 20% below isn't a profit margin either.
Read the source on GitHubYou pay the real cost of outside services, plus a flat 20%
AI chat calls model APIs. Beyond that there are Qichacha company records, the PKULaw legal database, OCR, speech transcription, web search and financial data — all billed per call by outside vendors. We buy them centrally so you do not have to open seven accounts and sign seven agreements, but the bill is still yours to pay. We charge a flat 20% on top because payment channels charge wildly different fees: App Store purchases can cost 30% or more on top, WeChat Pay is a different rate again, and every other channel is different still. Pricing each channel separately would be unworkable and hard to explain, so we average it out at a flat 20% — and topping up on our own site, the cheapest channel, is the better deal.
Fixed costs are fronted by the founder; any surplus is amortised first
The fixed costs of keeping the site and back end running — servers, domain names — are not billed to users up front; the project's founder fronts them instead. If the flat 20% leaves a surplus after channel fees and third-party costs, it goes first toward amortising that up-front outlay — the servers and domains are, after all, shared infrastructure.
What's left after that is donated; the books are published twice a year
Once the up-front outlay is fully amortised, anything left over is donated to a national charity. Every six months we publish the books and usage on our site and GitHub, with the donation receipts attached.
Limited-time sign-up credit — Sign up before 30 Sep 2026 (UTC+8) and get ¥99.99 in trial credits
Upstream price references
- AI models · OpenRouterOfficial pricing
- OCR · Alibaba CloudOfficial pricing
- Speech transcription · Tongyi TingwuOfficial pricing
- Company records · Qichacha Open PlatformPriced on requestOfficial pricing
- Legal database · PKULaw MCPOfficial pricing
- Web search · Bocha AIOfficial pricing
- Financial data · TushareOfficial pricing
Unit prices are whatever each vendor charges at the time. We do not publish a price list of our own.
Free to install, metered by use
Community Edition
AGPLv3 open source. The software is free; AI and other services are billed by usage
- Full core feature set under the AGPLv3 license, desktop app free to use
- AI chat, speech transcription, and OCR procured centrally by the platform, no separate vendor accounts
- A flat 20% averages out payment-channel fees; topping up on our site costs the least
- Pay as you go with Credits. Sign up before 30 Sep 2026 (UTC+8) and get ¥99.99 in trial credits
Organisation and OEM licensing
This section only matters to organisations that need to be free of AGPL obligations. Individuals and teams happy to use the app under the AGPLv3 can skip it.
Commercial License · Internal Use
In-house deployment for law firms and enterprises, free of AGPL open-source obligations
- Deploy modified versions on your internal network with no source-disclosure obligation
- Full legal authorization for closed-source plugins and private integrations
- Priced by organization headcount, see the tier table below
- Includes annual updates and standard technical support
OEM & Redistribution License
Embed the AI WorkDeck core in your product and serve your own customers
- Redistribution rights for legal-tech companies and integrators
- Minimum annual fee plus a share of related revenue, structure discussed individually
- No AGPL obligations for your end customers
- Optional branding and certification program ("Powered by AI WorkDeck")
Internal-Use License · Tiered by Organization Headcount
| Organization size | Annual fee | Notes |
|---|---|---|
| Up to 50 people | ¥39,800 / year | Small firms and teams |
| 51 – 200 people | ¥98,000 / year | Mid-size firms and in-house legal departments |
| 201 – 1,000 people | ¥248,000 / year | Large firms and group legal departments |
| 1,000+ people | From ¥398,000 / year | Very large organizations, contact sales for a custom quote |
Headcount counts all professionals and staff with access to the system. Implementation, custom development, and enterprise plugins are quoted separately at ¥3,000–6,000 per person-day.
All prices are public list prices, identical for every customer. Commercial licensing details are in legal/COMMERCIAL-LICENSE.md in the GitHub repository; open-source use follows the AGPLv3, see the Licensing FAQ.
Common questions
If the project is open source, why does it charge?
The software is free and the code is public — this is an open-source, not-for-profit project, and the 20% isn't a profit margin. What you actually pay for is the real cost of the outside services the app calls on your behalf: AI models, OCR, transcription, Qichacha, PKULaw and web search all bill per call. We buy them centrally so you do not need seven vendor accounts — but the bill is still yours. We charge a flat 20% because payment channels differ wildly in fees: App Store purchases can cost 30% or more on top, WeChat Pay is a different rate again. Pricing each channel separately would be unworkable and confusing, so we average it out at 20% — and topping up on our own site, the cheapest channel, is the better deal. Fixed costs like servers and domains are fronted by the founder up front; if the 20% leaves a surplus after channel fees and third-party costs, it goes first toward amortising that outlay, and whatever is left after that is donated to a national charity. Individuals pay no subscription and no licence fee; only organisations that need to be free of AGPL obligations buy a commercial licence.
What is the Community Edition, and do I need a licence?
The Community Edition is what you download here, and it is the same installer commercial customers get — the difference is legal, not functional. Individuals, and teams willing to meet the AGPLv3 conditions, need no licence. You need an internal-use licence only if your organisation wants to run a modified build without publishing the source, or to write closed-source plugins and private integrations. Embedding the core in a product you sell requires an OEM licence.
What happens when the sign-up credit runs out?
Top up any amount on your account page via WeChat Pay. There is no minimum and nothing renews automatically. Credits are then drawn down call by call at the vendor charge × 1.2 — you spend what you use, and the rest stays put. Topping up on our own site carries the lowest channel cost, and it's the way we recommend.
Are the prices negotiable?
No. Every price here is a public list price and is the same for every customer, including the 20% usage markup and the commercial licence tiers. That 20% isn't a profit margin we set — it's an average that covers payment-channel fees, and we publish the books on a regular schedule. The cost of that is we do not enter bidding rounds; the benefit is you never wonder whether a firm your size paid less.
Can I build it myself and self-host?
Yes. The source is published under the AGPLv3, so you can build it, host it, and point the AI calls at your own model account — our hosted services are optional, not a condition of using the software. If you distribute a modified build, the AGPLv3 source obligations apply; organisations that would rather not take those on can buy a commercial licence.
Where does the money go?
It's published. Any surplus first goes toward amortising the founder's up-front outlay for the project; anything left after that is donated to a national charity. Every six months, we publish the books and usage on GitHub and our site: user count, install count, revenue, the cost of each payment channel, other expenses, and donation records.
See the published accounts