Peer to Peer Magazine

22 PEER TO PEER: THE QUARTERLY MAGAZINE OF ILTA | SUMMER 2017 Artificial Intelligence (AI) The next big disruptive technology at law firms will be artificial intelligence. Natural language will be very useful to help aorneys square the circle. In electronic discovery, it can predict relevant documents for review. It will ensure that no stone is unturned for due diligence and that relevant passages are included for contract review. AI tools will be helpful in guiding strategy, such as how a judge will rule on a motion or how likely it is that the opposing counsel will sele, based on past behaviors. IBM's Watson can be used to narrow down the research needed for legal precedents – much the same way Billy Beane transformed baseball with Sabre Metrics. While these tools will replace some mundane work done by associates and paralegals, there will still be a need for aorneys with higher-level skills such as strategic thinking, creativity, judgment and empathy. Frank Callan InOutsource www.inoutsource.com What will be the next disruptive technology in legal? ASK THE VENDOR What will be the next disruptive technology in legal? Remote Access A combination of mature remote desktop technology and innovative machine learning will disrupt ediscovery. Lawyers travel to secure offices to access and review documents; clients only recruit from lawyers available to travel to review locations. Since ediscovery is electronic, why don't documents travel to the most appropriate available legal resource – wherever located – even at home? While data security is the standard explanation, the medical field has been disrupted by technology to overcome these concerns. For example, teleradiology leverages remote review without jeopardizing quality, confidentiality or data security – all in a highly regulated environment. The largest U.S. teleradiology practice uses over 500 board- certified physicians who work from home using an AI-powered platform, covering nearly seven million cases annually. Ediscovery can also use remote desktop technology and workflows driven by machine learning to, for example, increase access to qualified legal resources, automate quality control, prioritize documents, leverage maer experts – all regardless of reviewer location. Clients: more flexibility to engage the appropriate legal specialists; lawyers: more choices for where and how to practice. Jarrod Kimmel Advanced Discovery www.advanceddiscovery.com AI and Machine Learning Artificial intelligence and machine learning have become powerful disruptors. Lawyers can no longer effectively represent their clients by wading into data without the benefit of insights that artificial intelligence and machine learning can provide. According to IBM, 2.5 quintillion bytes of data are created daily, and 90 percent of all data were created within the last two years. To effectively represent clients, lawyers need to quickly and efficiently glean essential facts from vast client data sources, including documents and email, which are unstructured. Lawyers have been hampered by antiquated tools that focus primarily on Boolean search (similar to basic and advanced Google searches). By cuing through the data, guided by lawyers, artificial intelligence and machine learning represent a true paradigm shi in how legal work can be performed. Arup Das Alphaserve Technologies www.alphaserveit.com Answer the following question: What steps should a legal professional take to tackle an info management challenge? Send responses (under 150 words) to joanne@iltanet.org by Sept. 25.

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