Most in-house legal teams have experimented with AI, but few have made it a dependable part of everyday legal work. Prompts and pilots are easy to try. Operational AI that legal teams trust requires structure.

In this on-demand session with In-House Connect, Corey Longhurst, Chief Growth Officer, and Katie Harris, Commercial Counsel at LegalOn, break down how legal teams are moving beyond chatbots and into real AI workflows, with a focus on contract review.

Drawing on insights from LegalOn’s 2026 AI for In-House Legal Survey, they explore where AI adoption is happening, what’s holding teams back, and how structured prompt libraries, contract playbooks, and AI agents help turn legal judgment into scalable workflows. You’ll see how teams move from ad hoc experimentation to consistent, repeatable AI-assisted review without losing control or legal oversight.

What You’ll Learn

• Where AI adoption is gaining traction in in-house legal and why contract review leads the way
  
  
• Why most AI pilots stall and how playbook gaps limit scale and trust
  
  
• How prompt libraries and playbooks support consistent AI-assisted review
  
  
• How real negotiating positions become scalable contract review standards
  
  
• Where AI agents fit today and where guardrails remain essential
  
  

Turn AI experimentation into practical workflows your legal team can rely on—AI handles the operational work while lawyers retain judgment.