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Practice specificlegal AIversus general chatbots.

General AI chatbots write fluent text on almost any subject. Legal work needs something narrower: output that follows a practice area's rules, uses the facts of the matter, and can be checked.
PROOFGUARD AI · OCTOBER 5, 2026 · 7 MIN READ

The problem with general chatbots in legal work

A general chatbot predicts likely text. When it does not know an answer, it can still produce one that reads as authoritative. In legal work that failure has a known cost. In Mata v. Avianca (S.D.N.Y. 2023), attorneys were sanctioned after filing a brief that cited cases a chatbot had invented. Courts in several jurisdictions have since issued orders on the use of AI in filings, and the burden of verification remains on the attorney.

The deeper issue is context. A general chatbot does not know the matter, the jurisdiction, the deadlines or the forms involved unless someone types them in, and it has no built in way to check its answer against them.

What practice specific legal AI does differently

  • Structured matter data. It works from the facts stored in the matter, not from whatever was pasted into a chat window.
  • Defined tasks. Each function has a defined job, such as reviewing a schedule, drafting a demand letter or building a chronology, with instructions written for that practice area.
  • Verifiable sources. Statements point back to the documents, records or rules they rely on, so a reviewer can confirm them.
  • Built in checks. Output is tested against practice rules, such as totals that must match or deadlines that must be calendared, before a person sees it.
  • A review step. Output stays a draft until an attorney or supervised staff member approves it.

Where general chatbots still fit

General tools can be useful for work that involves no confidential information and no legal conclusions: brainstorming the outline of an article, rewriting a public announcement in plain language, or summarizing published material the reader will verify. Firms should set a written policy on which tools may be used for which tasks, and what information may never be entered.

How to choose

  • Ask the vendor to demonstrate the tool on a matter from your practice area, using documents you provide.
  • Ask how the system shows its sources and what happens when it cannot find one.
  • Ask which checks run automatically and which are left to the reviewer.
  • Ask how client data is handled, using the questions in our security guide.

Summary

General chatbots are capable writing tools, but they are not designed for work where every statement must be accurate and traceable. Practice specific legal AI narrows the task, works from the matter's own data, and checks its output before an attorney reviews it.

Law8 AI is ProofGuard AI's case management platform with eight practice specific AI systems, in beta in Asia and being prepared for U.S. practice. Contact us to see it on your own workflow.

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