{"id":10610,"date":"2019-08-07T16:23:10","date_gmt":"2019-08-07T20:23:10","guid":{"rendered":"https:\/\/gutenberg-atl.staging.breakingmedia.com\/legal-innovation-center\/?p=10610"},"modified":"2019-08-07T16:23:10","modified_gmt":"2019-08-07T20:23:10","slug":"artificial-intelligence-and-the-future-of-legal-work-why-its-a-good-thing","status":"publish","type":"post","link":"https:\/\/abovethelaw.com\/legal-innovation-center\/2019\/08\/07\/artificial-intelligence-and-the-future-of-legal-work-why-its-a-good-thing\/","title":{"rendered":"Artificial Intelligence and the Future of Legal Work: Why It\u2019s a Good Thing"},"content":{"rendered":"<p><span style=\"font-weight: 400\">A plethora of <\/span><a href=\"https:\/\/www.forbes.com\/sites\/johnkoetsier\/2019\/06\/04\/ai-will-transform-500-million-white-collar-jobs-in-5-years-silicon-valley-must-help\/#1a87f9057e11\"><span style=\"font-weight: 400\">recent news reports<\/span><\/a><span style=\"font-weight: 400\"> show how Artificial Intelligence (AI) is being integrated into more and more facets of the professional world each year.\u00a0 In fact, market research company <\/span><a href=\"https:\/\/www.statista.com\/statistics\/607612\/worldwide-artificial-intelligence-for-enterprise-applications\/\"><span style=\"font-weight: 400\">Statista<\/span><\/a><span style=\"font-weight: 400\"> projects that revenues from AI will grow from $1.62B in 2019 to over $31B by 2025.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The <\/span><a href=\"https:\/\/legal.thomsonreuters.com\/en\/insights\/white-papers\/demystifying-ai\"><span style=\"font-weight: 400\">legal field<\/span><\/a><span style=\"font-weight: 400\"> is no exception. <\/span><a href=\"https:\/\/effortlesslegal.com\/blog\/2019\/05\/08\/automate-manual-process\/\"><span style=\"font-weight: 400\">AI and machine learning<\/span><\/a><span style=\"font-weight: 400\"> have created ways to save attorneys time and increase the level of accuracy of various legal tasks. Moreover, the applications that support law firms now offer new insights into productivity &#8212; something that is useful for attorneys and clients alike.<\/span><\/p>\n<p><b>Perception vs. Reality<\/b><\/p>\n<p><span style=\"font-weight: 400\">Because of <\/span><a href=\"https:\/\/www.technologist.eu\/the-threat-to-white-collar-jobs\/\"><span style=\"font-weight: 400\">popular media<\/span><\/a><span style=\"font-weight: 400\">, there are lots of perceptions as to the nature of artificial intelligence. Many of these perceptions have to do with programs that gain sentience and set forth their nefarious agendas.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The reality of artificial intelligence is much less colorful, but much more useful.\u00a0 In its simplest form, AI is a technology that can mimic human characteristics in order to perform tasks previously only possible for humans. The main crux of AI is data recognition and extrapolation. Put another way, AI can be programmed to notice things and make recommendations based on the data provided to it.\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/www.geeksforgeeks.org\/pattern-recognition-introduction\/\"><span style=\"font-weight: 400\">Pattern recognition<\/span><\/a><span style=\"font-weight: 400\"> makes AI perfectly suited for tasks in the legal space. Moreover, applications using AI can make recommendations based on data to help steer a firm in a more profitable direction.<\/span><\/p>\n<p><span style=\"font-weight: 400\">For example, when deciding what course of action to follow in a particular matter, an attorney will have accumulated skills, knowledge, and experience gained over their career, and the expertise of co-workers and mentors for assistance. Attorneys often spend hours upon hours researching similar matters of the past.\u00a0 However, computers using AI and machine learning can draw from all relevant data on a matter in less time than it took to read this sentence.<\/span><\/p>\n<p><a href=\"https:\/\/jolt.law.harvard.edu\/digest\/a-primer-on-using-artificial-intelligence-in-the-legal-profession\"><span style=\"font-weight: 400\">Harvard Law<\/span><\/a><span style=\"font-weight: 400\"> drives this point home by stating:<\/span><\/p>\n<p><span style=\"font-weight: 400\">[B]ecause AI can access more of the relevant data, it can be better than lawyers at predicting the outcomes of legal disputes and proceedings, and thus helping clients make decisions. For example, a London law firm used data on the outcomes of 600 cases over 12 months to create a model for the viability of personal injury cases. Indeed, trained on 200 years of Supreme Court records, an AI is already better than many human experts at predicting SCOTUS decisions.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The beauty of implementing artificial intelligence is not that it can do things that humans cannot, but that it can do what humans can do exponentially quicker and with less likelihood of error.<\/span><\/p>\n<p><b>Current Examples<\/b><\/p>\n<p><span style=\"font-weight: 400\">Artificial Intelligence has already made its way into <\/span><a href=\"https:\/\/www.forbes.com\/sites\/bernardmarr\/2018\/05\/23\/how-ai-and-machine-learning-are-transforming-law-firms-and-the-legal-sector\/#2083af0f32c3\"><span style=\"font-weight: 400\">various aspects<\/span><\/a><span style=\"font-weight: 400\"> of attorney work, such as legal research, contract review, and using analytics to predict litigation outcomes.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">One major example of the effectiveness of AI on the legal profession is in the field of <\/span><a href=\"https:\/\/www.lawtechnologytoday.org\/2019\/04\/artificial-intelligence-will-change-e-discovery-in-the-next-three-years\/\"><span style=\"font-weight: 400\">e-discovery<\/span><\/a><span style=\"font-weight: 400\">. Instead of painstakingly going through each and every document produced or to be produced in discovery by hand, applications can be used to seek out pertinent information without getting bogged down by white noise.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Not only is this a faster method, but it can also catch things a human may inadvertently overlook.\u00a0 As noted in a recent <\/span><a href=\"https:\/\/trello-attachments.s3.amazonaws.com\/5a7dcceab779f7afab83d2ef\/5aaa66b36b86fa9fbee4843a\/bbf351d36428f2296bdb7dc63b560b0f\/Artificial-Intelligence-for-Litigators.pdf\"><span style=\"font-weight: 400\">Bloomberg Law<\/span><\/a><span style=\"font-weight: 400\"> report:<\/span><\/p>\n<p><span style=\"font-weight: 400\">[AI] helps legal researchers unearth documents that they could not have found previously and more easily identify similarities between court opinions&#8230; AI can minimize the number of errors or missed documents that a user might face.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Instead of searching or even with the wisdom bestowed by experience, AI allows attorneys to quickly and accurately gather and organize information contained in thousands of documents, court rulings, or other data sources using specific parameters.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Beyond applications in the discovery process, these parameters could be the ruling habits of a judge, the tactics of a specific law firm, or the prior legal tendencies of a company. Using this information AI can suggest a litigation roadmap, replete with data-driven cost estimates for various aspects of the case.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The best part is that the humans using the application don\u2019t necessarily even need to know exactly what they are looking for. That means attorneys could <\/span><a href=\"https:\/\/abovethelaw.com\/law2020\/how-artificial-intelligence-is-transforming-legal-research\/\"><span style=\"font-weight: 400\">find nuggets they might not have considered<\/span><\/a><span style=\"font-weight: 400\">.<\/span><\/p>\n<p><span style=\"font-weight: 400\">To understand just how much faster AI can sift through large quantities of data, consider a recent <\/span><i><span style=\"font-weight: 400\">New York Times<\/span><\/i><span style=\"font-weight: 400\"> report on an attorney from Florida who wanted to<\/span><a href=\"https:\/\/www.nytimes.com\/2017\/03\/19\/technology\/lawyers-artificial-intelligence.html?mcubz=0\"><span style=\"font-weight: 400\"> test the research skills of artificial intelligence against his own<\/span><\/a><span style=\"font-weight: 400\">. It took him hours to find a case precisely analogous to the one he was working on. The Ross Intelligence software he competed against found the same case all but instantaneously.<\/span><span style=\"font-weight: 400\">\u00a0<\/span><\/p>\n<p><b>Data Quality<\/b><\/p>\n<p><span style=\"font-weight: 400\">As noted in a recent article in the <\/span><a href=\"https:\/\/www.americanbar.org\/publications\/law_practice_magazine\/2013\/november-december\/practice-management-advice.html\"><span style=\"font-weight: 400\">American Bar A<\/span><\/a><span style=\"font-weight: 400\">ssociation<\/span><span style=\"font-weight: 400\">, \u201ctoday, many law firms have digital client files as the primary client file, and every law firm has at least some digital client records, including email, billing and word processing files.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400\">However, a recent article in the <\/span><a href=\"http:\/\/www.abajournal.com\/magazine\/article\/data_predicting_litigation_outcomes\/\"><span style=\"font-weight: 400\">ABA Journal<\/span><\/a><span style=\"font-weight: 400\"> highlights the concern that many advanced technology projects \u201ccan be hindered by the quality of data and lack of oversight.\u201d\u00a0 Similarly, Law.com\u2019s <\/span><a href=\"https:\/\/www.law.com\/2018\/08\/02\/building-artificial-intelligence-in-the-law-firm\/\"><span style=\"font-weight: 400\">Erin Hichman<\/span><\/a><span style=\"font-weight: 400\"> notes that \u201cmost AI initiatives are not \u2018plug &amp; play,\u2019 or perfectly functional right out of the box,\u201d and that \u201cas a result, firms need to plan effectively for the development and launch of AI platforms.\u201d\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Applications using AI certainly <\/span><a href=\"https:\/\/blogs.sas.com\/content\/datamanagement\/2019\/04\/10\/how-data-quality-improves-ai\/\"><span style=\"font-weight: 400\">need quality data<\/span><\/a><span style=\"font-weight: 400\"> to function optimally. However, the data needed by the application may already be in a firm\u2019s documents, email, call records, and billing data.\u00a0 Especially as to <\/span><a href=\"https:\/\/effortlesslegal.com\/blog\/2019\/05\/28\/data-driven-solutions-legal-billing\/\"><span style=\"font-weight: 400\">law firm records<\/span><\/a><span style=\"font-weight: 400\"> that are already painstakingly maintained, corrected, and updated on a regular basis &#8212; such as billing data &#8212; the accuracy and integrity of this data will almost always already be paramount.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Moreover, AI is capable of effectively doing its own <\/span><a href=\"https:\/\/arxiv.org\/abs\/1810.07132\"><span style=\"font-weight: 400\">data quality control<\/span><\/a><span style=\"font-weight: 400\">.\u00a0 For example, artificial intelligence applications are <\/span><a href=\"https:\/\/it.toolbox.com\/blogs\/peterkowalke\/five-ways-ai-can-improve-data-quality-030518\"><span style=\"font-weight: 400\">often already used<\/span><\/a><span style=\"font-weight: 400\"> for detecting data anomalies, assimilating data from diverse systems, automatically capturing and updating data, predicting the future status of a transaction, and eliminating duplicative data.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The automated organization and interpretation of not just documents and court rulings, but also internal business data already maintained within law firms, will help keep firms <\/span><a href=\"https:\/\/effortlesslegal.com\/blog\/2019\/06\/28\/data-to-improve-business-within-legal-industry\/\"><span style=\"font-weight: 400\">more efficient<\/span><\/a><span style=\"font-weight: 400\"> and better informed.\u00a0 In addition, by <\/span><a href=\"https:\/\/conferences.oreilly.com\/strata\/strata-ny-2018\/public\/schedule\/detail\/68570\"><span style=\"font-weight: 400\">using AI for data quality control<\/span><\/a><span style=\"font-weight: 400\">, law firms can avoid being inundated by superfluous information, and apply only what is useful.\u00a0<\/span><\/p>\n<p><b>Conclusion<\/b><\/p>\n<p><span style=\"font-weight: 400\">Getting a firm grasp on AI now, while it\u2019s in its relative early days, will give a law firm the leg up when its implementation becomes the norm.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">The\u00a0<\/span><a href=\"https:\/\/www.americanbar.org\/groups\/professional_responsibility\/publications\/model_rules_of_professional_conduct\/rule_1_1_competence\/comment_on_rule_1_1.html%20(emphasis%20added).\"><span style=\"font-weight: 400\">ABA Model Rules of Professional Conduct<\/span><\/a><span style=\"font-weight: 400\">\u00a0require lawyers to maintain technological competency, including as to \u201cthe benefits and risks associated with relevant technology\u201d.\u00a0 In other words, if there is technology that would make an attorney a better advocate for their client, the attorney should be versed in its application and use it efficiently. Such technologies exist in the form of artificial intelligence.<\/span><\/p>\n<hr \/>\n<p><em><span style=\"font-weight: 400\">Holly Urban\u202fis the CEO and co-founder of\u202f<\/span><b>EffortlessLegal LLC<\/b><span style=\"font-weight: 400\">, an award-winning innovator in software automation solutions for law firms.\u202fHolly\u202fhas over 20 years of progressive experience in management and leadership positions in a variety of industries including technology, consulting, banking, retail and hospitality.\u202fFor more information, visit us at\u00a0<\/span><a href=\"https:\/\/effortlesslegal.com\/\"><span style=\"font-weight: 400\">https:\/\/EffortlessLegal.com<\/span><\/a><span style=\"font-weight: 400\">.<\/span><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p class=\"summary\">Getting a firm grasp on AI now will give a law firm the leg up when its implementation becomes the norm. <\/p>\n","protected":false},"author":88988,"featured_media":5531,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[331,3637],"tags":[53,20,5567,6101,1461,6341,299,6344],"class_list":["post-10610","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-member-content","tag-ai","tag-artificial-intelligence","tag-effortlesslegal","tag-holly-urban","tag-law-firms","tag-legal-work","tag-machine-learning","tag-pattern-recognition"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.3 - 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