Three privacy-friendly ways to replace ChatGPT
Choose a smaller vendor trust boundary, a commercial workspace, or your own infrastructure.
Proton Lumo minimizes retained hosted data, Claude Team preserves high-end hosted capability under commercial terms, and Open WebUI gives you the strongest control over deployment and model routing. None is a cost-free, feature-for-feature migration.
Choose by the party that must see plaintext during inference, then price the capability and operational burden needed to make that trust model usable.
Pick the trust boundary before the feature list
Public list prices are in US dollars before tax where stated. Proton did not expose a reliable static Lumo Plus amount during this review. Self-hosted software pricing excludes hardware, electricity, storage, model/API fees, monitoring, backups, upgrades, and staff time.
Three different kinds of better
Proton Lumo
Best for privacy-first hosted personal useLumo offers the clearest reduction in routine hosted-data exposure without asking the user to run servers. Proton says it keeps no prompt or response logs, does not use chats for model training, runs models on servers it controls, and zero-access encrypts saved history. The limitation is architectural rather than cosmetic: the Lumo GPU server still decrypts each live prompt for inference, and Lumo has a narrower ecosystem and no verified ChatGPT history importer.
Choose it when
- You want a hosted assistant but do not want chats used for model training or retained as readable server-side history.
- Your main workflow is personal research, writing, files, web search, and lightweight projects rather than a large connector or agent ecosystem.
- You prefer European jurisdiction and Proton-controlled inference over operating local hardware.
Know the trade-offs
- Live prompts are not end-to-end encrypted through inference; the designated Lumo server decrypts them to run the model.
- The Free plan limits messages, higher-capability model use, image generation, history, and Projects; Proton's public page did not expose a reliable static Plus price for this review.
- No current official importer for ChatGPT conversations, projects, memories, custom GPTs, tasks, or connectors was verified.
Claude Team
Best for capable team work under commercial data termsClaude Team is the strongest fit when privacy means contractual data handling, centralized administration, and no model training by default rather than local inference. It preserves a mature hosted workflow across web, desktop, mobile, projects, connectors, and coding tools, with public per-seat pricing for 2–150 users. It remains an Anthropic-hosted service, it is not end-to-end encrypted, and Team data portability is controlled by the organization's Primary Owner.
Choose it when
- Your team needs high-capability writing, analysis, coding, projects, and connectors without becoming an AI infrastructure operator.
- Commercial terms and default exclusion from model training meet your policy better than a consumer account with user-level privacy settings.
- You can appoint an owner to manage access, exports, offboarding, and recovery for organizational data.
Know the trade-offs
- Anthropic hosts and processes the plaintext needed for inference; encryption at rest and in transit is not end-to-end encryption.
- There is no full conversation-history importer from ChatGPT; memory import transfers a summary of useful context, not the archive or workspace.
- Only the organization's Primary Owner can obtain Team data exports, so employee access and recovery depend on organization governance.
Open WebUI
Best for self-hosting and local-model controlOpen WebUI is the strongest option when the buyer wants to choose the server, storage region, model endpoint, and network boundary. It runs through Docker, Kubernetes, Python, bare metal, or a desktop app, can connect to local Ollama-style deployments or cloud APIs, and has an official ChatGPT export importer. The software license does not remove the cost or risk of operating databases, authentication, upgrades, encryption keys, backups, and model capacity.
Choose it when
- You need prompts and files to stay on infrastructure you control and can use local models for the sensitive workload.
- You have staff or a managed provider capable of securing, monitoring, updating, backing up, and restoring the deployment.
- Importing existing ChatGPT conversation JSON matters more than reproducing ChatGPT's proprietary projects, GPTs, tasks, memory, and connectors.
Know the trade-offs
- Open WebUI is not end-to-end encrypted by default; administrators, host operators, the running app, backups, and configured model providers may access plaintext.
- Local model quality, speed, context size, multimodal support, and hardware requirements can fall short of leading hosted services or materially increase cost.
- Recovery and security become your responsibility, including database encryption, secret management, HTTPS, backup integrity, upgrades, and version pinning.
A safer ChatGPT migration
- 01
Classify the data and workflows
List chats, files, memories, custom GPT instructions, Projects, scheduled tasks, connectors, shared links, and team-owned workspaces. Mark which items contain regulated, client, employee, or confidential data so the new trust boundary is chosen before content is copied.
- 02
Export what ChatGPT actually permits
Request a personal ChatGPT data export and separately save critical instructions, source files, and outputs in durable formats. ChatGPT Business does not provide workspace data export, so its owner must resolve retention and handover before a switch.
- 03
Pilot representative work
Test a small set of real but non-sensitive writing, research, coding, file, image, and collaboration tasks. Compare answer quality, citations, latency, context limits, mobile access, and administrative controls rather than assuming that privacy language implies workflow parity.
- 04
Move only portable assets
Use Open WebUI's ChatGPT JSON importer for conversations, Claude's memory import for a concise context profile, or manual summaries and file uploads for Lumo. Rebuild projects, custom assistants, connector permissions, tasks, and team roles because no selected product documents a complete ChatGPT workspace conversion.
- 05
Run in parallel and test recovery
Keep ChatGPT read-only or limited during a short transition, verify who can restore access, and test backups before deleting anything. For self-hosting, restore the database, uploads, vector store, configuration, and encryption secrets; for hosted tools, verify owner succession, account recovery, and export rights.
When you should stay with ChatGPT
The integrated workflow is the product
ChatGPT Plus combines advanced reasoning, file analysis, image generation, deep research, Projects, scheduled tasks, custom GPTs, memory, and Codex in one managed account. Replacing several of those at once can create more tools, permissions, and failure points than the privacy gain justifies.
Your accumulated workspace has high switching value
A personal export preserves data, but it does not guarantee a working reconstruction of memories, custom GPTs, project organization, tasks, connectors, or shared workflows in another product. Staying can be rational when those assets are central and the content is suitable for ChatGPT's controls.
Managed business controls beat an improvised local deployment
OpenAI states that Business and Enterprise data is not used for model training by default and is encrypted at rest and in transit. A properly governed managed workspace can be safer than a self-hosted system with weak patching, exposed backups, shared administrator credentials, or no tested recovery plan, although ChatGPT Business's lack of data export remains a serious lock-in cost.
What we checked—and what we didn't.
The review covered official pricing, plan-limit, privacy, security, encryption, hosting, platform, import/export, ownership, licensing, backup, and recovery documentation for the three selected products and ChatGPT. It also screened Jan, Duck.ai, Brave Leo, and Mistral Vibe against the same decision criteria.
No product was installed, benchmarked, penetration-tested, audited, or migrated hands-on. Proton's public pricing page did not reveal a dependable static Lumo Plus amount. Claude's newer memory article says Team imports are available while also noting a gradual rollout and legacy Team experience. Open WebUI documents ChatGPT chat conversion but not preservation of every attachment, branch, citation, tool result, Project, memory, custom GPT, or task.
Choose the privacy model you can operate
Choose Proton Lumo when you want the smallest routine hosted-data footprint with little setup, Claude Team when commercial no-training terms and mature team capability matter more than local inference, and Open WebUI when you can own the infrastructure, model routing, backups, and recovery. Stay with ChatGPT when its integrated tools and accumulated workspace are worth more than the privacy improvement and your data fits OpenAI's available controls.
How we reached this decision →