General-Purpose LLMs
ChatGPT, Claude, Gemini, Grok, Copilot. They draft and summarize well, but they aren't grounded in statutes or case law, don't enforce jurisdiction, and have nothing wrapped around them for a law practice. Useful for brainstorming. Not acceptable for work you have to sign.
General-Purpose LLMs vs HAQQ
| Feature | HAQQ | Google Gemini | Grok (xAI) | Microsoft Copilot |
|---|---|---|---|---|
| AI Legal Drafting | ||||
| AI Contract Review | ||||
| Legal Research | ||||
| Multi-Document Analysis | ||||
| Risk Identification | ||||
| Persistent Knowledge Base | ||||
| Context-Aware AI | ||||
| Practice Management | ||||
| Billing & Invoicing | ||||
| 200+ Countries | ||||
| 7 Languages (incl. Arabic RTL) | ||||
| Transparent Pricing | ||||
| MS Word Integration | ||||
| On-Premise Deployment | ||||
| 16 Free Legal Tools |
Compare each one against HAQQ
General-Purpose LLMs: FAQ
Can a general-purpose LLM do real legal work?
It can draft and summarize, but it isn't grounded in a verified legal corpus, won't enforce jurisdiction, and has no matter context, billing, or audit trail. It produces ideas, not submissions.
Why isn't ChatGPT or Gemini enough for a law firm?
General models guess at law from internet-scale training. A legal platform like HAQQ grounds every answer in statutes and case law plus your matter, enforces the jurisdiction, and never trains on your data.
Does HAQQ just wrap a general LLM?
No. HAQQ's Justinian engine is LLM-agnostic orchestration with private legal libraries, jurisdiction logic, and a full practice OS around the model, so it rides frontier-model gains without inheriting their legal blind spots.