AI WorkDeck

COMMUNITY EDITION · FAQ

Know what happens to your work.

Practical answers about storage, AI context, memory, collaboration and costs.

For the Community Edition desktop app, mobile companion features, Office add-in and community website. The desktop app keeps work locally by default; online features you use may transmit or store data. Enterprise Edition is outside the scope of this FAQ.

Storage and mobile transfers

Where are my case files and desktop conversations stored?

The desktop app stores project files on your computer by default, with conversations and related records in a local database. Projects can also use local folders. Importing a file does not automatically upload the whole project to a model; automatic AI tagging after import is disabled by default in the desktop configuration.

Storage and AI processing are separate steps. Cloud AI, mobile transfers, shared team features, remote sync and online tools may send relevant content off your device when you use them. The desktop app also keeps local conversation history and runtime logs.

How do phone captures reach my computer, and when is the cloud copy deleted?

The iOS app keeps originals in its local application directory, which the current implementation excludes from system backups. Cloud image delivery temporarily stores a relay copy. After the computer acknowledges receipt, the service attempts to delete that file content early, while keeping its delivery status record.

The current code sets a 30-day expiry threshold for remaining image deliveries, processed by a daily cleanup job. This is not a guarantee of immediate, complete deletion at exactly 30 days. Storage deletion failures require later cleanup or an object-storage lifecycle fallback. The phone original, received computer file and cloud relay copy are managed separately; deleting one does not delete every copy.

Do ordinary cross-device file transfers use the same expiry rules?

No. In the current code, staged downloads supplied by the computer to the phone (PULL) have a 7-day expiry threshold; staged uploads (PUSH) have a 30-day threshold. Cleanup jobs process expired transfers. These are relay rules, not a backup service: confirm that important material has been saved on the receiving device.

Are the Office add-in, website and sync features also entirely local?

No. Connecting to a local service and connecting to a cloud service are different paths. Cloud Office add-in conversations and sync data are stored on the server. A sync acknowledgement can remove the delivery copy without deleting the underlying conversation. The website’s Skill drafting assistant also saves conversation content.

Shared team and firm memory is stored on the server. Configuring remote sync, such as Git, can create remote copies too. Accounts, orders and usage records are online service data. We therefore do not describe the entire Community Edition as a zero-retention service.

What should I back up before changing computers, uninstalling or deleting an account?

Keep recoverable copies of local files, project databases and personal or project memory before migrating or cleaning up. Signing back into the website is not the same as restoring everything from your old computer.

Deleting local files, shared cloud content, a website account and external sync copies are separate operations. Mobile relay storage is not a long-term backup. Check diagnostic logs for case content before sharing them.

Model training and memory

Will my case material be used to train a model?

AI WorkDeck uses existing model APIs and does not train its own foundation model on your case material. Community Edition memory records relevant facts, preferences and experience as readable Markdown content for later context. It does not train or change model weights.

This statement concerns AI WorkDeck itself. OpenRouter, model providers and other tools process requests under their own policies, endpoints and actual privacy settings. No training and zero retention are different promises; this does not guarantee that every external service discards all content.

OpenRouter data processing documentation
Where does personal, project and organization memory live?

Personal and project memory is stored as Markdown content and indexes in the desktop app’s local database, with read, edit and delete operations. A memory document is not necessarily a separate .md file on disk. Enabling relevant Git sync can also save it to your configured remote.

Team and firm memory is shared through the website and stored on the server. Team managers control team memory; managers in the head team control writes to firm memory. Read access follows organization membership. Check that anything you add is appropriate for everyone in that scope.

What if the model remembers a preference incorrectly or generalizes from one case?

Review, correct or delete the memory in the relevant scope. Keep case-specific information in project memory instead of publishing it to the team or firm. Memory is context for a model and can still be summarized or applied incorrectly. Check the facts and rules being used for important work.

AI requests and security

Can our firm use its own server and models to keep material in-house?

Community Edition can be assessed for self-hosting, with storage and models running on the firm’s own servers. Configurable local-model integration exists, but tool use, vision and other capabilities need validation for the chosen model. Do not assume full parity with the default cloud features.

To keep a particular workflow’s material inside the firm, all relevant storage, models and processing services must run there. External models, cloud OCR or transcription, web search, mobile cloud relays, website shared memory, remote sync and other outbound connections must be disabled or replaced. Buying a server or switching only the model is not enough to guarantee a fully isolated application.

Contact the developer with your deployment size, model, required features and network restrictions to assess a suitable setup. This concerns Community Edition deployment, not the Enterprise Edition product.

What leaves my computer when I use a cloud model?

The model needs context to perform the task. Your prompt, relevant conversation, file content you supply or a tool reads, and memory used in that request can be included. The request is not necessarily just a short instruction, nor does it automatically include your entire project.

The desktop platform channel uses an allocated key and allowance to call OpenRouter directly, which routes the request to a model provider. The website manages accounts and allowances; it does not proxy every desktop request. Other channels, add-ins and online tools follow their own configuration.

If the software relays a request, does that mean no context is retained?

For ordinary desktop model calls, the website is not in the request-body forwarding path. However, the desktop app saves local conversations, and some logs may contain response fragments. Cloud Office add-in conversations, website Skill drafting, shared memory and mobile relays have their own storage behavior.

“No retention anywhere” would therefore be inaccurate. External model providers’ retention and training policies also need separate review; Community Edition cannot make one zero-retention promise for every supplier.

OpenRouter zero data retention conditions
How should I assess whether to use sensitive or confidential case material?

Separate local file work from AI or tool actions that connect to an online service. Check what the particular action sends, where it goes and which policies apply. Supply only what the task needs, removing unnecessary identifying information where appropriate.

A local file is not permission to send its contents to a cloud model. Follow the client’s agreement and your organization’s requirements when deciding what may leave the device. Local storage alone does not guarantee confidentiality or compliance across the entire workflow.

Does joining a team give colleagues access to all my cases?

Team membership should not be understood as automatic sharing of your entire local work directory. Shared memory is available to the corresponding members, and team dashboards show usage information allowed by roles and settings. Sharing project names has a separate setting.

Keep invitations, management permissions and shared content limited to what is needed. Do not put one client’s confidential details into general memory that the whole team can read.

Working on legal matters

Can I deliver model-generated statutes, cases and quotations without checking them?

Verify them against the original source first. Check jurisdiction, publication and effective dates, the applicable version, case number, court and whether the quotation supports the conclusion. Models can invent sources or misapply real ones.

Use AI output as research and drafting material. The people handling the matter remain responsible for reviewing the facts, applicable law and final work product.

What needs particular review in OCR, long summaries and contract edits?

Check names, amounts, dates, negations, clause numbers, attachments and tables spanning pages. Recognition and summarization can omit details, and a model may not have the entire document in context.

Keep the original and compare edits. Manually review changes affecting rights or obligations, quotations and conclusions; a summary should not replace the underlying evidence.

What should I check before using a Skill, plugin or online tool?

Understand the files it reads, the services it contacts and the actions it can perform. Third-party tools introduce their own recipients and processing rules. Documents and web pages can also contain instructions that mislead a model.

Give trusted tools only the access they need. Check the target and result of important writes, deletions or external submissions. Do not post client material, keys or passwords to the public community for troubleshooting.

Do the mainland, international and US sites share accounts and data?

The mainland site, aiworkdeck.com, has a separate account and online-data system from the overseas sites. workdeck.ai and aiworkdeck.us share the overseas user-data system.

Connect the desktop app to the service region where you registered and topped up. Changing the website language does not move an account, balance or local project.

Installation and region selection

How does pricing work?

Understand what is free, which online services are metered, and how top-ups and existing commercial licences work. Commercial licensing is distinct from the forthcoming Enterprise Edition product.

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.

01

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 GitHub
02

You 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.

03

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.

04

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 creditSign up before 30 Sep 2026 (UTC+8) and get $9.90 in trial credits

Upstream price references

Unit prices are whatever each vendor charges at the time. We do not publish a price list of our own.

Community Edition

Free to install, metered by use

Community Edition

Free

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 $9.90 in trial credits
Commercial licence

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.

These are the existing commercial software licences, not the forthcoming Enterprise Edition product. Enterprise details will be announced separately.

Recommended

Commercial License · Internal Use

From ¥39,800 / year

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

From ¥300,000 / year

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 sizeAnnual feeNotes
Up to 50 people¥39,800 / yearSmall firms and teams
51 – 200 people¥98,000 / yearMid-size firms and in-house legal departments
201 – 1,000 people¥248,000 / yearLarge firms and group legal departments
1,000+ peopleFrom ¥398,000 / yearVery 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.

Founding Customer Program

The first 3 commercial-license customers get 50% off the first year plus priority input on the product roadmap; in return, AI WorkDeck may name your organization and use your case study on our website and materials. Remaining slots are as posted on this page.

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.

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 Stripe. 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