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71 I L T A N E T . O R G 2 023. What a year! Artificial Intelligence (AI) has upended industries worldwide, and the legal sector is no exception. Whether you are a believer or a skeptic, whether you are an early adopter or a laggard, it is hard to avoid being sucked into the vortex of questions, expectations, and concerns. The fact is that a shift has happened. Technology is now allowing us to do or at least imagine how we might be able to do things that we couldn't before. Whether we are going to go through a few rounds of resetting expectations, we will inevitably see an increased use of AI, both as specific tools and within tools that we use daily. Consequently, this will – sooner or later – shine a light on our enterprise content's readiness for AI. For many organizations, this is creating a here-and-now desire to get ready for AI. The risk of doing nothing and falling behind is too significant to ignore. Equally, the opportunity to get ahead is too attractive to dismiss with conservative skepticism. In parallel, users need answers, guidance, and training, whether jumping in with both feet or just dipping their toes. Start by Focusing on Your Cases Organizations are now faced with many choices. Wait or go early. Build in-house or buy third party. Give access to everyone or only specialists. Expose all or just small sets of content to AI. To determine the right approach and have a higher chance of success, firms should start with a clear definition of what they want to do with AI and how it will impact their business. It is, after all, technology, and all technology should be purchased and implemented with specific intent. It is certain that Generative AI will not be suitable for all tasks or use cases and in most cases, firms will not let it anywhere near anything with a hint of client-facing advisory work. The best way to start is to identify core use cases that deliver value through improved productivity, growth or supporting new business models. Prioritize those that meet as many of the following criteria as possible: • There are clear and limited datasets that can be associated with the use case. • The associated data is low-sensitivity and does not contain PII (personally identifiable information). • The use case does not involve many different groups of people, particularly complex cross-organizational processes. • The use case is conceptually simple and can be modelled through manual steps. • If implemented successfully the use case will have high visibility and impact. People-Centric Actions People will be at the heart of successful outcomes. The explosive adoption of Generative AI in the mainstream of technology usage has caused many myths, misunderstandings, and false expectations. It has also given rise to a whole new set of AI experts perpetuating said myths, misunderstandings, and false expectations. Onboarding AI – particularly Generative AI – as a technical capability within a firm therefore needs a bit more thinking than your average technology roll-out. In some cases, you will need to move some users back to "square one" and reset their thinking, before moving forward as a whole. Equally, it is vitally important to address the user

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