AI Legal Training

Overview

Participants leave with reviewed legal-work drafts and a repeatable process for using AI as structured support under professional judgement. Participants practise four connected legal workflows in AIM: controlled contract drafting, contract review and negotiation, client communication, and legal research. They leave with reviewed draft outputs and a repeatable process for using AI as structured support—not as legal advice, legal authority or a replacement for professional judgement.

Who should attend

• Roles: AI Legal is for in-house lawyers, legal counsel, contract managers and other legal professionals who draft, review, research or explain legal matters.
• Prerequisites: Foundation training in AI or daily practice validated by AI Maturity Assessment. Participants bring knowledge of their organisation, market, department and current KPIs.
• Platform access: Either an internal AI corporate platform with agentic coding capabilities, a Microsoft 365 Copilot corporate license. Alternatively, a temporary AIM platform can be deployed for the training.
• Delivery context: Facilitated practice-based 3h workshop. Participants should bring their own sanitized data.

What you will learn

• Configure the appropriate AIM model and conversation state for a legal task.
• Create and review a contract key-elements list, outline and selected clause.
• Review a received contract, identify issues for negotiation and produce a reviewed rationale.
• Analyse a client question, select an explanation pattern and draft a plain-language response.
• Extract legal-research variables, frame research questions, verify sources and apply verified authorities to facts using IRAC.
• Record one safe next action with its professional quality gate and data boundary.