General-purpose AI. or a platform built for how legal teams actually work?

When buyers say "ChatGPT," they are usually talking about the general-purpose AI category more broadly. And to be clear, ChatGPT Business and Enterprise are real workplace products, with secure workspaces, admin controls, SAML SSO, MFA, encryption, no training on business data by default, and the ability to connect company knowledge from sources like SharePoint, Google Drive, and Slack.

That makes ChatGPT a serious business tool, not just a consumer chatbot.

ChatGPT is horizontal by design. It is meant to be useful to nearly any team for nearly any task. Legal teams are not nearly any team. They work inside matters, drafts, evidence, precedent, internal standards, approvals, collaboration constraints, and professional-risk boundaries.

A general-purpose AI workspace can be powerful and still leave the legal workflow itself largely unstructured. The question is not whether ChatGPT is capable. The question is whether "capable general AI" is the same thing as "legal AI built for real legal operations." It is not.

Irys is designed around the missing layer. Generic AI lacks legal-specific guardrails, matter management, structured collaboration, and workflow-native trust.

Irys provides a structured and reliable environment for legal drafting, research, document intelligence, and repeatable work. The technical architecture reinforces that. with a model-agnostic orchestration layer, multi-agent structure, knowledge graph engine, enhanced legal embeddings, and components designed specifically around legal workflows rather than general workplace productivity.

ChatGPT has no native integration with Microsoft Word. Lawyers using ChatGPT for drafting must copy and paste between browser tabs and their documents. losing formatting, context, and version control in the process.

Irys offers a free Word Add-In, available on the Microsoft Marketplace, that brings research, drafting, and cite check directly into the Word sidebar. No tab switching. No copy-paste. The AI works inside the document, with full matter context from the Irys platform.

ChatGPT's architecture imposes per-session token limits and file caps. Upload more than a few PDFs and the tool either truncates, chunks, or asks you to split the work. Every new conversation resets. The AI forgets the matter you were working on yesterday. For legal work that spans dozens of documents over weeks or months, that architecture keeps pushing you back to the copy-paste tab.

Irys is built to hold the whole matter. Upload up to 500 files per bulk upload at 50 MB each. Unlimited matter memory, no document caps, no chat resets, no token limits. A three-layer architecture (Worker, Coordinator, Synthesizer) keeps context persistent across sessions, across practice tools, and across team members. You never start over, and you never have to decide what to leave out.

Plus and Team look cheap on paper at $20 to $25 per seat per month. The hidden cost shows up the first time a court sanctions an attorney for a hallucinated citation, the first time a privilege issue surfaces around what was uploaded, or the first time a partner has to re-explain a matter the AI forgot last Tuesday.

If your firm tries to step up to a commercial-grade ChatGPT setup with audit trails and security controls, you land on Enterprise. ChatGPT Enterprise is sales-gated and not publicly priced, but the underlying economics mirror the rest of the frontier-lab market. The $20-style sticker is platform access; meaningful usage gets billed on top in tokens or quotas. For the same calculus on Anthropic, real legal all-in on Claude Enterprise lands $300 to $500 per seat per month for an occasional partner using AI sparingly, $600 to $1,200 for a typical associate, and $1,200 to $4,000+ for daily document-heavy partner-led work. Irys analysis, methodology in the linked piece.

Irys is $299 per seat per month, every module, every matter, no token billing. One predictable line item.

Full breakdown with sources: irys.ai/blog/real-decision-harvey-legora-claude-irys

ChatGPT may already be in the building. That does not make it the legal operating layer.

For teams that want a broad company-wide AI tool, ChatGPT absolutely belongs in the stack. For teams that want a platform designed to carry legal context forward, connect work product across matters, and support legal workflows in a purpose-built way, Irys is the more focused and more strategic choice.

It is not trying to be the best general AI for everyone. It is trying to be the platform legal teams trust to do the work.