AI has moved from novelty to daily tool in a lot of firms, but the stakes are higher here than in most fields. The tools below are the ones actually in use for research, drafting, and contract review. The caveats around confidentiality and fabricated citations are not optional reading.
| Tool | Best for | Price from |
|---|---|---|
| Lexis+ AI | Legal research on a trusted database | Quote-based |
| Westlaw (CoCounsel) | Research and drafting assistant | Quote-based |
| vLex Vincent | Cross-jurisdiction research | Quote-based |
| Spellbook | Contract drafting and review | Per-seat, quote-based |
| Harvey | Large-firm research and workflows | Enterprise, quote-based |
| Luminance | Contract analysis at scale | Enterprise, quote-based |
The single most important rule for AI legal research is that the tool must be grounded in a real, current case-law database. That is why Lexis+ AI and Westlaw's CoCounsel are the serious options: they answer from the same vetted libraries the profession already relies on, with citations you can pull.
vLex Vincent is the cross-jurisdiction alternative, strong if your work crosses borders. What none of these change is your duty to read the cases they cite. A grounded tool reduces the risk of fabrication; it does not remove your responsibility to check.
Spellbook works inside Microsoft Word and is built for transactional lawyers, suggesting clauses, flagging missing terms, and benchmarking language against market standards. It is the most approachable entry point for a small or midsize firm.
General models like ChatGPT can speed up a first draft of routine language, but feeding them anything client-specific raises confidentiality questions, and their output needs a lawyer's eye on every line. Use them for structure and boilerplate, not for anything privileged.
For review at volume, Harvey, Luminance, and Kira are the names that come up. Harvey is aimed at large firms and integrates research, drafting, and analysis. Luminance and Kira specialize in reading large contract sets fast, surfacing risk, and spotting non-standard terms in due diligence.
These are enterprise tools with enterprise pricing and onboarding. For a small firm they are likely more than the matter justifies, but for high-volume diligence they change the math.
AI is useful for the unglamorous middle of practice: summarizing a long record, drafting an intake questionnaire, or turning a deposition transcript into a timeline. The same confidentiality rules apply. If the tool is not covered by your firm's data agreements, do not feed it client information.
This is the section that matters most. General chatbots invent case citations that look real and are not, and courts in multiple jurisdictions have sanctioned lawyers who filed briefs containing those fake cases. Verify every citation against the actual reporter before it goes near a court.
Confidentiality is the other hard line. Putting client information into a tool that is not covered by an appropriate data agreement can waive privilege and breach your duty of confidentiality. And none of these tools exercise judgment. They assist a lawyer; they do not practice law.
Lexis+ AI and Westlaw's CoCounsel are the leading options because they are grounded in trusted, current case-law databases and provide citations you can verify. vLex Vincent is strong for cross-jurisdiction work. Whichever you use, you still must read the cases the tool cites.
They can for general, non-confidential tasks like outlining or drafting boilerplate, but with real caution. ChatGPT is not grounded in a verified legal database, it invents citations, and feeding it client information raises confidentiality and privilege concerns. For research and client work, purpose-built legal tools are safer.
Only into tools covered by an appropriate data and confidentiality agreement with your firm. Entering client information into a general consumer AI tool can breach confidentiality and risk privilege. Check what your firm has vetted before any client data touches a tool, and when unsure, do not.
Yes. Courts in several jurisdictions have sanctioned lawyers who filed briefs containing fake case citations generated by AI chatbots. The lesson is not to avoid AI but to verify every citation against the actual reporter, and to use tools grounded in real case-law databases for research.