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24 P E E R T O P E E R : I L T A ' S Q U A R T E R L Y M A G A Z I N E | W I N T E R 2 0 2 0 The Right Insights, Delivered It's abundantly clear that knowledge needs to be delivered in a modern digital way. That means delivering the right insights at the right point in time – and even delivering things that people didn't know they were looking for. We're all familiar with Spotify, and its uncanny mapping of nearly all recorded music. While it is very useful that Spotify allows you to search for a specific artist and – within moments – call up their catalog of songs, what is perhaps even more useful is that Spotify can proactively suggest artists or songs that you might be interested in. In other words, it can 'nudge' you to the music that you didn't even know you were looking for. This is the direction KM is heading, and AI- powered search and analytics- powered knowledge graphs are the emerging underlying technological backbone. While relatively new to the legal sphere, knowledge graphs have been playing a foundational role in everyday life for quite some time. Tech giants like Amazon, Facebook, and the previously mentioned Spotify have long used knowledge graphs to power their recommendation systems. Knowledge graphs enable a dynamic connection between situations, data points, and entities. However, these are not created by magic. Curated ontologies and taxonomies of metadata drive the knowledge of these systems – knowledge that enables a modern, dynamic take on the traditional KM skills of information organization and domain intelligence. These are skills that KM teams have always leveraged for legal insight. Part of the knowledge graph's power lies in the ability to pick up signals from multiple systems – not just document management systems, for example, but also billing or practice management systems. In this way, the AI-powered knowledge graphs can establish where expertise lies within a firm based on how many hours someone has billed to a certain project, or how many times people have copied a certain document to use as a template. With this embrace of graphs, KM moves away from the "enterprise search" approach that has long dominated KM, towards a more "recommended for you" or "suggested for you" interface that nudges professionals in the right direction. Why is this important? Again, if you're not sitting next to someone and together as a group or you're not regularly talking with one another, then having prompts on the screen about where valuable knowledge lies is extremely important to the ability of professionals to effectively carry out their day-to-day work.Knowledge management teams can drive adoption by, in essence, recommending knowledge as they search and by intercepting legal process tasks to suggest other knowledge that's essential to the type of deals the lawyers are working on. Sidley Austin , a global firm of over 2,000 lawyers, recently deployed a large, global KM platform that has allowed them to search and leverage vast stores of F E A T U R E S "Knowledge graphs enable a dynamic connection between situations, data points, and entities."

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