Contract Management

Covers identifying business needs and setting clear objectives before drafting contracts.

Explains RFIs, RFPs, and RFQs and the criteria used to evaluate suppliers.

Outlines fundamental negotiation principles, strategies, and how to prepare.

Discusses ethical behavior and cultural awareness in contract negotiation.

Breaks down the standard structure and essential clauses of a contract.

Provides detailed examples and explanations of key clauses (e.g., payment terms, IP, liability, etc.).

Offers practical tips for drafting unambiguous and enforceable contract language.

Covers how to use internal or industry-standard contract templates effectively.

Discusses various types of risks (financial, legal, operational) in contracts.

Explains how risks are distributed through clauses like indemnities and liability caps.

Describes tools and techniques for tracking and responding to emerging risks.

Covers contract signature protocols, approvals, and digitization.

Teaches how to monitor and enforce service levels and obligations.

Explains how to manage scope changes and modify contract terms post-signature.

Discusses effective communication and building strong relationships during contract execution.

Introduces regulatory compliance and internal controls in contract management.

Prepares learners for internal and external audits, including documentation best practices.

Explains how to use key metrics to evaluate contract effectiveness and supplier performance.

Teaches how to handle breaches, non-performance, and escalation procedures.

Describes steps for closing a contract, including verification of deliverables and obligations.

Encourages review sessions to document what went well and areas of improvement.

Covers best practices for storing and managing contract records securely.

Guides how to assess and decide on renewing, renegotiating, or reissuing contracts.

Explains the difference and benefits of moving toward strategic contracting.

Covers how to manage and grow long-term partnerships with vendors.

Introduces models like gainsharing and alliance contracts.

Discusses how to foster innovation and adapt contracts for evolving business needs.

Section opener for the GenAI section. Explains what generative AI is in plain terms, maps where it adds value across the full contract lifecycle, and draws a clear line between what AI augments and what must stay human. Sets the frame for all lessons that follow.

Teaches learners how to use generative AI to produce first-draft contract clauses. Covers what AI drafts well, where it falls short, and how to construct a four-part prompt — role, context, task, format — that produces usable output. Includes a short demo using ChatGPT, and closes with the mandatory human review step.

Covers AI-assisted contract review — what it actually involves, the five high-value clause areas where AI adds most value, how to construct a strong review prompt, and where human judgment remains essential. Includes a short demo showing a structured review prompt applied to a real clause extract.

Covers how generative AI supports contract negotiation preparation — summarising counterparty redlines, drafting counter-proposals, identifying leverage points, and preparing fallback positions. Draws a clear boundary at the point where AI preparation ends and human negotiation begins.

Covers how to extract obligations, key dates, SLA commitments, payment terms, and notice periods from an executed contract using AI. Introduces a four-step extraction workflow and explains why output format determines operational value. Includes a short demo showing structured extraction from a real clause.

Covers compliance monitoring after contract execution — why behaviour drifts from agreed terms, four AI use cases for detecting that drift, and how clause comparison works in practice. Draws a clear line between what AI can monitor (language and deviation) and what requires human observation (actual operational behaviour).

Covers three post-execution AI outputs: stakeholder summaries for leadership, performance reports comparing delivery against commitments, and renewal readiness assessments that score the relationship across four factors. Demonstrates how contract period data becomes a negotiating position rather than an archive.

Covers the three data risk categories when using AI with contract content (data exposure, output reliability, accountability gaps), the distinction between public and enterprise AI tools, and a four-question responsible use framework to apply before any AI-assisted contract task.

Section consolidation lesson. Maps all the AI use cases across the contract lifecycle, reinforces the four-part prompt framework that runs through all of them, and gives learners a concrete starting point. Closes with the key mindset: AI accelerates the groundwork, expertise is the differentiator.