Generative AI in practice: a guide for in-house legal teams

By Lisa Kozaris, Graeme Grovum, Peter Campbell, Valeska Bloch
AI Data & Privacy Digital Transformation Legal Technology Technology, Media & Telecommunications

The key steps, use cases and tools

In-house legal teams are uniquely placed to be early adopters and champions of AI. The exponential uptake of generative AI has been accompanied by a barrage of warnings about the redundancy of lawyers. Fear not: we’re confident that the likelihood of our profession’s demise has been greatly overstated!

This guide is designed to help you and your team assess and deploy generative AI across the legal function. The guide covers:

  • initial steps you can take to experiment with, and identify, potential use cases for generative AI
  • potential use cases as idea starters
  • snapshot of tools in the market which might be complementary to your practice.

Generative AI tools in the market: a snapshot

With so many vendors and products out there, how do you know where to start? And how can you assess if it will be applicable to your business? We've created an interactive graphic which can help you navigate what products different vendors have and their practical application. Hover over the different areas to see the connections.

Our guide explores these in practice, read our latest work to find out more information.

Made with Flourish


  • Plug-in / integration - A function can be added to a product by a vendor (integration) or by a user (plug-in).
  • Operating environment - An environment for testing and deploying multiple AI models and applications.
  • Related service - a service that supports the deployment of generative AI.