Peer to Peer Magazine

Fall 2019

The quarterly publication of the International Legal Technology Association

Issue link: http://epubs.iltanet.org/i/1172342

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18 A rtificial intelligence (AI) is the focus of plenty of hype and speculation. That's why it's important to begin any discussion of artificial intelligence in the legal industry with a dose of reality: AI in law is not about replacing humans with machines. Even as we develop increasingly sophisticated technologies, we will always need humans with deep expertise in the legal domain to help design the models we make, to create training data and to evaluate the effectiveness of the algorithms we make. We will continue to need human expertise in legal workflows, terminolo, taxonomies and ontologies, analysis and more. The focus of AI in law should be on helping legal professionals work smarter. That means using technolo to perform much of the tedious work that humans can't do nearly as fast or as accurately. It also means using machines to guide attorneys through complex workflows so they can spend more of their time doing substantive work that makes a difference to their clients. The current successes of AI technologies in law In the current legal marketplace, AI-based technolo is focused primarily on natural language processing and machine learning, The Future of Artificial Intelligence in the Legal Domain: B Y S E R E N A W E L L E N which provide language understanding and analysis. Already, there are diverse legal applications where AI is enabling dramatic efficiencies and helping us perform better work: • E-discovery has used AI with increasing success for years now, deploying natural language processing and machine learning to help us sort through massive amounts of documents so we can quickly identify key documents and legal issues, make important strategic decisions sooner, and eliminate irrelevant data earlier in the discovery process. AI is helping us do these things faster and with much greater accuracy than was possible five or 10 years ago. • Legal analytics also uses natural language processing and machine learning, applying it to historical litigation data to help us set case strate, assess the likely outcomes of specific legal tactics and strategies, and inform key business decisions. In the transactional space, analytics is being successfully applied to tools like contract review and contract analysis. • In legal research, AI is helping us move beyond the limitations of unrefined keyword and Boolean searching. With the right tools, practitioners can not only use natural language in queries, but Successes, Challenges, Responsibilities and Opportunities T H E R E ' S M O R E O N L I N E ! Want to learn more? You're in luck! Click the link below to listen to the audio that corresponds to this article! www.iltanet.org/fall-2019

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