Overview

In-house legal is a different job to private practice: high volume, a small team, no billable hour to absorb the load. This course shows how to triage what truly needs a lawyer, build playbooks that scale, manage law firms now using AI themselves, and question tools bought directly, so a small team can do more without more headcount.

Target Audience

Lawyers and legal operations staff in corporate in-house legal departments.

Learning Objectives

Upon completion, learners will gain a full and clear understanding of:

• Why in-house legal work is structurally different from private practice, and what that means for how a small team should operate
• How to triage incoming requests, distinguishing what genuinely needs a qualified lawyer from what a playbook, template or safe self-service tool can handle
• How to build and maintain playbooks and templates that let a small team apply consistent judgement at volume, including contract triage as a repeatable process
• What to ask external law firms about their AI policy, confidentiality practice around client matters, and whether efficiency gains are reflected in billing
• What to ask when procuring AI tools directly for an in-house team, distinct from a law firm's own internal procurement
• How to prioritise by actual risk, protect professional judgement and accountability in a self-service world, and build a personal and team action plan for doing more without more headcount

Features and Benefits

• Written for complete beginners: practical, jargon-free and easy to follow.
• Current and fact-checked: researched against up-to-date 2026 sources, including the latest tools and regulation.
• Four short, focused units with gated progression; each unit unlocks once the previous one is passed.
• Light, formative interactions running through every unit (click-to-reveal, quick knowledge checks and estimate-and-reveal sliders), never scored.
• An end-of-unit quiz that finishes with a marking screen showing which answers were right or wrong, with a short explanation for each.
• Easy retakes: a failed quiz drops the learner straight back into freshly shuffled questions, with no need to click through the unit again.
• Optional audio narration on every screen (the learner chooses to listen), plus narrated motion-graphic video introductions, with captions throughout for accessibility.
• Responsive layout, suitable for PC, tablet and mobile.
• SCORM 1.2 conformant (single SCO); reports completion and an averaged score to any compliant LMS.

Course Contents

Unit 1: A Different World: High Volume, Small Team

• Why in-house legal work is structurally different from private practice: unlimited demand against a fixed headcount, with no billable hour to absorb the gap
• The pace of in-house AI adoption, and what it means for a small team
• Triaging what genuinely needs a qualified lawyer, and business partnering as the core in-house skill
• Safe self-service for colleagues in sales, procurement and HR

Unit 2: Playbooks, Templates and Scale

• How a small team turns individual judgement into a system it can apply consistently at volume
• What a playbook is and how it differs from a template, and AI's role in applying, not inventing, an organisation's position
• Contract triage at volume as a repeatable process, with explicit escalation thresholds
• Keeping consistency across a large, distributed organisation

Unit 3: Managing Outside Counsel in the AI Era

• What to actually ask the external law firms who are increasingly using AI themselves, often without telling their clients
• Questions on AI policy, confidentiality practice and billing
• Practical ways to audit a firm's AI use through outside counsel guidelines
• A separate set of vendor and procurement questions for AI tools bought directly for an in-house team

Unit 4: Doing More Without More Headcount

• Where AI genuinely creates capacity in an in-house team, and where it only feels like it does
• Prioritising by actual risk rather than stated urgency
• Protecting professional judgement and accountability in a self-service world
• Honestly measuring what's working, closing with a practical personal and team action plan