# Self-Hosted AI vs ChatGPT Enterprise for Legal

> Source: https://ibl.ai/resources/comparisons/self-hosted-ai-vs-chatgpt-enterprise-for-legal


*Own the models, data, and code behind your legal AI on your own infrastructure — vs. a per-seat assistant running in OpenAI's cloud*

Legal organizations adopting AI face one hard constraint before any feature: privileged client matters must stay protected under attorney-client privilege and ABA ethics duties. Where the AI runs — and who controls it — matters as much as what it does.

ChatGPT Enterprise is a managed assistant from OpenAI, billed at about $60 per user per month and running in OpenAI's cloud on OpenAI's GPT models. Its strength is polished general-purpose assistance and strong reasoning with little setup, but it is locked to OpenAI's models and your data is processed in the vendor's cloud.

Self-hosted AI runs on infrastructure you control — on-premise, in your private cloud, or fully air-gapped. You own the code, the data, and the models, run any LLM, and keep privileged client matters inside your perimeter, integrated with Clio, iManage, NetDocuments, Westlaw, and LexisNexis. This comparison covers case research, contract review, discovery, and knowledge management for legal — and when each option is the right call.

## Feature Comparison

### Capabilities

| Criteria | Self-Hosted AI | ChatGPT Enterprise |
|----------|--------------------|--------------------|
| Out-of-the-Box Productivity | Strong agent capability once deployed; you configure the workflows your teams need. | Polished assistance from day one with polished general-purpose assistance and strong reasoning. |
| Legal System Integration | Deep integration with Clio, iManage, NetDocuments, Westlaw, and LexisNexis via APIs and MCP, built around your data. | Connects to common tools, but integration with sector systems is limited. |
| Custom Agents & Workflows | Build and own production agents for case research, contract review, discovery, and knowledge management. | A few prebuilt agents; customization is bounded by the platform. |
| Any-LLM & Model Control | Run any open or commercial model, route by cost/latency/capability, and switch anytime. | Runs on OpenAI's GPT models; locked to OpenAI's models. |

### Ownership & Data Control

| Criteria | Self-Hosted AI | ChatGPT Enterprise |
|----------|--------------------|--------------------|
| Self-Hosting / On-Prem / Air-Gapped | Run on your servers, private cloud, or fully air-gapped with zero external calls. | Runs in OpenAI's cloud; cannot be self-hosted or air-gapped. |
| Data Stays in Your Perimeter | privileged client matters never leaves your environment; every interaction is logged for audit. | Vendor controls help, but data is processed in the provider's cloud. |
| Model Choice | Any LLM — open-source or commercial — under your control. | Locked to OpenAI's GPT models. |
| Source Code & Platform Ownership | Own the full platform code; no lock-in to a vendor's roadmap. | You rent access; the platform and roadmap belong to the vendor. |

### Cost & Compliance

| Criteria | Self-Hosted AI | ChatGPT Enterprise |
|----------|--------------------|--------------------|
| Cost at Scale | Flat, usage-based cost on owned compute — no per-seat fees. | about $60 per user per month; cost rises with every seat. |
| Compliance & Audit Fit | Data stays in your perimeter, supporting attorney-client privilege and ABA ethics duties with full audit logging. | Vendor compliance coverage under shared-responsibility cloud terms. |
| Time-to-Value | Requires infrastructure and setup, or a partner to deploy it for you. | Turn it on for your users with minimal setup. |
| Support & Maintenance | Self-managed, or fully supported with forward-deployed engineers. | Fully managed by OpenAI with enterprise support. |

## Detailed Analysis

### Legal Data Sovereignty vs Cloud Convenience

**Self-Hosted AI:** Self-hosted AI keeps privileged client matters inside your perimeter and can run fully air-gapped — the strongest posture for attorney-client privilege and ABA ethics duties.

**ChatGPT Enterprise:** ChatGPT Enterprise adds capable assistance quickly, but processes data in OpenAI's cloud under shared-responsibility terms.

**Verdict:** For legal workloads bound by attorney-client privilege and ABA ethics duties, owning the stack is the safer default; ChatGPT fits lower-sensitivity productivity.

### Per-Seat Cost vs Flat Ownership

**Self-Hosted AI:** Self-hosting replaces per-seat licensing with flat cost on compute you own, so broad rollouts don't scale with headcount.

**ChatGPT Enterprise:** ChatGPT Enterprise is about $60 per user per month, predictable per user but growing with every license.

**Verdict:** For organization-wide deployment, owned infrastructure is often far cheaper at scale.

### Model Freedom vs a Single Vendor

**Self-Hosted AI:** A model-agnostic platform runs any model — including the vendor's own — and switches as the frontier moves.

**ChatGPT Enterprise:** ChatGPT Enterprise is locked to OpenAI's models.

**Verdict:** If avoiding model lock-in matters, the owned, model-agnostic platform wins.

## FAQ

**Q: Is there a self-hosted, privilege-ready alternative to ChatGPT Enterprise for legal?**

Yes. A self-hosted, model-agnostic platform runs on infrastructure you control, keeping privileged client matters in your perimeter under attorney-client privilege and ABA ethics duties — while delivering AI agents for case research, contract review, discovery, and knowledge management without per-seat fees.

**Q: Can it run air-gapped, unlike ChatGPT Enterprise?**

Yes. It can run on-premise or fully air-gapped with local models and zero external calls. ChatGPT Enterprise is a cloud service in OpenAI's cloud and cannot be self-hosted or air-gapped.

**Q: Where does privileged client matters go with ChatGPT vs self-hosting?**

ChatGPT Enterprise processes data in OpenAI's cloud under shared-responsibility terms. With a self-hosted platform, privileged client matters stays entirely within your environment and every interaction is logged for audit.

**Q: Is self-hosted AI cheaper than ChatGPT Enterprise at scale?**

Usually, for large rollouts. ChatGPT Enterprise is about $60 per user per month, so cost grows with every seat. Self-hosting replaces that with flat, usage-based cost on compute you own.

**Q: Can I still use OpenAI's GPT models?**

Yes. A model-agnostic platform can route to OpenAI's GPT models alongside open and other commercial models — and switch anytime — rather than being locked to OpenAI's models.

**Q: How does ibl.ai fit in?**

ibl.ai is a model-agnostic, self-hosted AI platform you own and run on your own servers — on-premise or air-gapped — for case research, contract review, discovery, and knowledge management, while supporting attorney-client privilege and ABA ethics duties by design.