Legal AI vs General-Purpose AI
Evaluate legal AI and general-purpose AI for your professional research workflow.
Cassandra Research editorial team
Research methodology: Check the cited research, model documentation and evaluation conditions before applying an AI technique to professional work.
Summary
General-purpose AI tools like ChatGPT, Claude, and Gemini are impressive for casual use but carry unacceptable risks for professional legal work. Purpose-built legal AI systems — like Cassandra Research — use RAG architecture grounded in authoritative legal sources to deliver cited, verifiable analysis suitable for professional practice.
Evaluation Checklist for Either Type of Tool
| Criterion | What to Verify |
|---|---|
| Citations | Read the actual judgment or legislation and confirm support for the answer |
| Jurisdiction | Check coverage, court hierarchy and the governing law |
| Currency | Check amendments, subsequent treatment and the relevant date |
| Confidentiality | Read the provider's current processing, retention and training terms |
| Workflow | Test representative matters with a qualified supervising reviewer |
The Risk of General-Purpose AI in Legal Work
Lawyers who rely on general-purpose AI risk citing fabricated cases, providing incorrect legal analysis, and breaching professional conduct obligations. Several high-profile cases have already involved lawyers submitting AI-hallucinated citations to courts.
Frequently Asked Questions
Can I use ChatGPT for legal research?
ChatGPT and other AI tools may assist an initial research workflow, depending on configuration and source access. They can also invent or misread authorities. Independently check citations, jurisdiction and conclusions, and assess confidentiality before entering client material.
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