Building Legal FAQs and Contract Glossaries with Generative AI

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Legal teams repeatedly answer questions about NDAs, signing authority, procurement forms, personal data and contract terminology. Converting recurring questions into a maintained FAQ can reduce basic inquiries and make the legal team’s escalation rules easier to understand. Generative AI can accelerate the first draft, but the published answer becomes internal guidance and requires an identified human owner.

Selecting questions for the FAQ

Start with questions that recur and have a reasonably stable answer. Each entry should identify the intended reader, the transactions it covers and the point at which the employee must contact legal. A glossary entry should explain both the meaning of a term and why it matters in the company’s workflow.

Questions that depend heavily on transaction value, jurisdiction, counterparty leverage or non-public company policy should not be converted into universal rules. The FAQ can describe the factors to collect and then direct the reader to legal for a decision.

Drafting with generative AI

Provide approved source materials such as current policies, playbooks and standard contract positions. Ask the model to separate the short answer, explanation, required action and escalation condition. It should not fill gaps in the source material with general legal assumptions.

The legal team should check statutory citations, internal links and examples before release. Each entry benefits from a review date and an owner so that changes in law or company policy do not leave obsolete guidance in circulation.

Governance after publication

An FAQ is a living internal control, not a one-time writing exercise. Track questions that still reach the legal team, revise answers that readers misinterpret and retire entries that no longer match the company’s operations. Confidential past advice should be summarized carefully and should not be uploaded to an external AI tool without authorization.