Peer to Peer Magazine

Fall 2017

The quarterly publication of the International Legal Technology Association

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Page 42 of 59

44 PEER TO PEER: THE QUARTERLY MAGAZINE OF ILTA | FALL 2017 The problem doesn't stop there. Lawyers also spend more time than they should figuring out what changes might have been made to a document since they last looked at it—and by whom. On top of this, too much effort is inevitably devoted toward keeping email messages, documents and other digital work product properly organized and filed in the right place. Fortunately, new innovations in information management technology are leveraging artificial intelligence (AI), machine learning and big data analytics to address these friction points, helping legal professionals spend less time on administrative tasks and more time on strategic client work. Firms are using the latest technological innovations to work smarter rather than harder. Smart Search What if search were personalized to the user, so it could anticipate user needs? Through machine-learning- based analysis of all previous interactions for each user, a system can be taught to understand the people, clients and maer documents most relevant to the user conducting the search. The system can then use this information to prioritize search results, yielding less cluer and higher relevance. For example, suppose your firm employs two aorneys named Jane — one of whom you frequently work with on documents and one whom you don't. By analyzing your past behavior and interactions — and understanding the context of who works with whom — the system will know to only present you with search results related to the Jane you work with when you perform a search for "documents + Jane." by Peter Wallqvist Despite the productivity enhancements enabled by modern document and work product management technology, lawyers still often find themselves wasting time and energy trying to do something as simple as find a specific document.

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