How is FahmQanon different from a general AI chatbot?
FahmQanon answers from a law library it keeps and checks, rather than from a general model's memory: every article it cites is matched against its text in the version in force on the date that matters, and anything unconfirmed is marked “not verified”. It also works inside the firm's cases, with the firm's access rules, documents, deadlines and drafting, and the firm's data is never used to train AI.
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In more detail
A general chatbot can write an article number or a quotation that does not exist; FahmQanon shows such a citation as “not verified”, with the reason.
FahmQanon also knows the case: its parties, its documents and the firm's similar cases, within who may open what.
- Why use FahmQanon instead of a general chatbot?
- Is FahmQanon more accurate than a general chatbot on legal questions?
- FahmQanon or a general AI chatbot for lawyers?
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