{"id":136867,"date":"2025-11-13T16:24:46","date_gmt":"2025-11-14T00:24:46","guid":{"rendered":"https:\/\/xira.com\/p\/2025\/11\/13\/the-disco-study-a-watershed-moment-or-just-more-of-the-same\/"},"modified":"2025-11-13T16:24:46","modified_gmt":"2025-11-14T00:24:46","slug":"the-disco-study-a-watershed-moment-or-just-more-of-the-same","status":"publish","type":"post","link":"https:\/\/xira.com\/p\/2025\/11\/13\/the-disco-study-a-watershed-moment-or-just-more-of-the-same\/","title":{"rendered":"The Disco Study: A Watershed Moment Or Just More Of The Same?"},"content":{"rendered":"<p>A new <a href=\"https:\/\/www.google.com\/url?sa=t&amp;source=web&amp;rct=j&amp;opi=89978449&amp;url=https:\/\/csdisco.com\/pressrelease\/disco-study-highlights-rapid-pace-of-legal-generative-ai-adoption-key-barriers-for-lawyers&amp;ved=2ahUKEwiP5P7C1uqQAxUg78kDHbJKGXkQFnoECBwQAQ&amp;usg=AOvVaw2pT_bXAL9MJHBAItzLNuVn\" rel=\"nofollow noopener\" target=\"_blank\">Disco study<\/a> suggests that despite all the hoopla over AI, we have a ways to go before it becomes commonly used in litigation and, more particularly, eDiscovery. The paradox is striking: even though Gen AI benefits are well recognized, there remains stubborn reluctance to embrace it.<\/p>\n<p>The study is entitled <em>Legal AI: Driving the Future of the Profession<\/em>. It was primarily conducted online in the late summer by <a href=\"https:\/\/www.google.com\/aclk?sa=L&amp;ai=DChsSEwikkv_i1uqQAxV8NtQBHTubJ-sYACICCAEQABoCb2E&amp;co=1&amp;gclid=CjwKCAiA2svIBhB-EiwARWDPjmKFPNWYEEvn9-ESn87ubtj0OtXFZKQQcjWgx7lIExcTmvseJ3lVVBoC9pUQAvD_BwE&amp;cid=CAASrwHkaOgCGmHrkqpRQov6_HNpst8nEgKrJlP7Mb-R4Le2f5HVvh4LRs1lf_2suNMD3AcGBu5HWAq--Veu9-rWIQJcO9Hg9OLi4qEDqSkRVGzOuP7cSOA7aTFvzsJFipFKDINxqdIs_aMZ2FBo6_xWOcYqNPfrf7VcXJpdJMrMGH19XBps0hU2o7jC-HnXlAr6_YJZMlLXPF2Az00jsIEV6K1BriZTQzgF1T-F6GLpG2pF&amp;cce=1&amp;sig=AOD64_3CwIT7Zc75SXSRHqmMU_I_YBcRvg&amp;q&amp;adurl&amp;ved=2ahUKEwjSrvbi1uqQAxUX48kDHe9FMpAQ0Qx6BAgMEAE\" rel=\"nofollow noopener\" target=\"_blank\">Disco<\/a> and <a href=\"https:\/\/www.google.com\/url?sa=t&amp;source=web&amp;rct=j&amp;opi=89978449&amp;url=https:\/\/www.arikaplanadvisors.com\/&amp;ved=2ahUKEwiMppTt1uqQAxW1LtAFHUXHGzEQFnoECA4QAQ&amp;usg=AOvVaw23dRqZ16OJ9KRrSQzMNdUZ\" rel=\"nofollow noopener\" target=\"_blank\">Ari Kaplan Advisors<\/a>. The underlying survey was completed by 112 individuals, about half in-house and half in law firms. Interviews were also conducted. The focus was primarily on the use of AI tools in eDiscovery. Disco is a leading eDiscovery provider.<\/p>\n<p><strong>The Significance<\/strong><\/p>\n<p>eDiscovery has traditionally served as the proving ground for legal tech adoption, the proverbial canary in the coal mine.<\/p>\n<p>The fact is eDiscovery is driven by time pressures that are often imposed by courts or clients. These pressures force lawyers and legal professionals to think about how to get work done quickly irrespective of billable hours. When the court orders you to produce relevant documents in 30 days requiring you to locate and review millions of data sources, you don\u2019t have time to figure out how to squeeze out the maximum number of billable hours. You\u2019re more concerned about not being embarrassed or worse.<\/p>\n<p>It was these pressures that led to things like technology assisted review that sped up the eDiscovery process and begrudgingly became the norm.<\/p>\n<p><strong>Watershed Moment?<\/strong><\/p>\n<p>Disco describes eDiscovery as being at a watershed moment with AI. Indeed, there are certainly some suggestions in the Disco data that a corner may about to be turned when it comes to the use of AI. That would make logical sense since the efficiencies and time savings that AI tools could bring are significant.<\/p>\n<p>But some of the data suggests that while AI may indeed revolutionize litigation, things are not yet changing all that much. In fact, Disco itself concludes in its report based on the survey, \u201cFew \u2014 if any \u2014 have unlocked its promise at scale.\u201d<\/p>\n<p><strong>Some Data Points<\/strong><\/p>\n<p>For example, 42% of those in law firms reported no external pressure to use AI solutions. This is consistent with the findings of an <a href=\"https:\/\/abovethelaw.com\/2025\/11\/new-report-on-ai-use-in-house-spells-trouble-for-outside-lawyers\/\" rel=\"nofollow noopener\" target=\"_blank\">ACC study<\/a>, and one done by <a href=\"https:\/\/abovethelaw.com\/tag\/stephen-embry\/\" rel=\"nofollow noopener\" target=\"_blank\">Thompson Hines<\/a>, both of which I previously discussed. Moreover, 36% of in-house attorneys surveyed say they\u2019re not facing pressure to use AI tools from management.<\/p>\n<p>Some more key statistics: only 35% of those surveyed report having incorporated GenAI in routine legal processes to any extent. That\u2019s not terribly surprising, since 56% of in-house counsel say they don\u2019t yet see GenAI as a tool for controlling litigation costs.<\/p>\n<p><strong>The Paradox<\/strong><\/p>\n<p>This reluctance persists even though 70% recognized a top benefit of AI was an increase in efficiency. (Thirty-four percent identified costs savings which amounts to the same thing). Fifty-eight percent mentioned better analysis and insights and 40% reported faster evidence gathering. Similar benefits like the ability to quickly surface key evidence, spotting patterns and themes from the data, and the ability to assess case merit earlier have been noted by leading commentators like <a href=\"https:\/\/ediscoverytoday.com\/2025\/11\/11\/ai-in-review-accelerates-case-strategy-and-reduces-ediscovery-costs-ediscovery-best-practices\/\" rel=\"nofollow noopener\" target=\"_blank\">Doug Austin<\/a>.<\/p>\n<p>It\u2019s a paradox: while GenAI can make things better, it\u2019s not enthusiastically embraced. Why?<\/p>\n<p><strong>Why Indeed?<\/strong><\/p>\n<p>The reasons given for not using AI are a little troubling. Despite evolving tools that better ensure privacy and security, 70% of law firm and 68% in-house respondents said privacy and security are still the biggest obstacles. In addition, consistent with the other surveys mentioned above, both in-house and outside lawyers are concerned about demonstrating ROI.<\/p>\n<p>But the main reason is that legal professionals are, in my opinion, turning a blind eye to the benefits and stubbornly holding on to previous ways of doing things. Fifty-two percent of those in law firms, for example, said they are only using AI to differentiate their firm as an \u201cinnovator.\u201d One lawyer put it this way, \u201cCost is not yet a factor; we are less concerned with profit margin and more on gaining market share.\u201d Another said, \u201cReduced costs are not a reality yet.\u201d\u00a0 In other words, law firms are not using AI substantively or recognizing the benefits.<\/p>\n<p>Several labeled the benefits of GenAI as \u201cpie-in-the sky.\u201d Some cling to the belief that the failure rate with AI in document review is higher than with humans. Some said even though blown away by results, they would still require a substantial amount of human oversight. This even though 79% of those surveyed rated GenAI tools with a three or higher on a five-point scale when it came to accuracy and 53% said it was a four or five.<\/p>\n<p><strong>Other Issues<\/strong><\/p>\n<p>There are a host of other issues cited in the report as rationalizations for avoiding change (my comments to the cited issues appear in parenthesis):<\/p>\n<ul class=\"wp-block-list\">\n<li>Generational Differences: There is a belief that more experienced lawyers are more reluctant to use AI tools than younger lawyers. (The notion seems to be its use is limited to those who, due to their limited experience, can\u2019t be trusted, and that more experienced lawyers won\u2019t be able to master it.)<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Limited Time: \u00a0It takes time \u2014 non-billable time \u2014 to learn how to use GenAI tools (aka let\u2019s not invest the time to do things better).<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Loss of Control: We will lose control of our data if we put it on an AI platform. (We heard that before about the cloud. We know how that turned out.)<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Reduced Billable Hours: \u201cspeed will reduce revenue.\u201c (Of course.)<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>AI Talent Deficiency: There is not enough AI talent available to enable us to understand how to use and implement GenAI. (So many commentators, legal professionals, vendors, and consultants are talking nonstop about AI, it\u2019s hard to conclude the information and talent isn\u2019t there.)<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Misaligned Functionality Expectations: GenAI can do some things, but it just can\u2019t solve most problems yet or fully answer questions. (Perfect should not be an enemy of the good, particularly when the good is recognized.)<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Accuracy Concerns: Accuracy is repeatedly stressed as a reason to encourage continued human oversight. (Accuracy is a concern but that doesn\u2019t mean throwing the baby out with the bath water.)<\/li>\n<\/ul>\n<p><strong>A Silver Lining<\/strong><\/p>\n<p>But there may be a silver lining when it comes to AI and eDiscovery: if history is any guide, things may eventually change.<\/p>\n<p>As I said at the outset, eDiscovery is the canary in the coal mine when it comes to technology adoption by the legal profession. All too often, the pressure to get eDiscovery work done quickly trumps the desire to resist change. We have seen efficiency tools like technology assisted review and continuous machine learning gradually become well accepted and standard, particularly as data and data sources exploded exponentially. It did take years to overcome the notion that humans had to do everything, but we did get there.<\/p>\n<p><strong>The New Reality<\/strong><\/p>\n<p>So, it\u2019s tempting to conclude that despite all its benefits, many of which are already recognized, the adoption of GenAI will take the same slow and torturous course. But there is another reality revealed by the survey: 96% say eDiscovery workloads are increasing or staying the same. And there is a recognition that a variety of new data sources including prompts and outputs must be dealt with. Fifty-two percent of those surveyed say these new sources will make the litigation cycle longer, inevitably increasing costs.<\/p>\n<p>These new data sources and continued time pressures may force legal professionals to adopt GenAI tools out of necessity just to keep up and satisfy the demands of courts, regulators, and clients \u2014 just as they gradually did with the adoption of TAR, only quicker.<\/p>\n<p><strong>eDiscovery Is Cool<\/strong><\/p>\n<p>That\u2019s why watching what happens in eDiscovery is important: legal will be forced, even though kicking and dragging their feet, to adopt GenAI. Time constraints and risk aversion may force the adoption many are currently avoiding.<\/p>\n<p>Or as one respondent put it, perhaps a bit reluctantly, \u201cAI has made eDiscovery cool.\u201d<\/p>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n<p><em><strong>Stephen Embry is a lawyer, speaker, blogger, and writer. He publishes\u00a0<a href=\"https:\/\/www.techlawcrossroads.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">TechLaw Crossroads<\/a>, a blog devoted to the examination of the tension between technology, the law, and the practice of law<\/strong><\/em>.<\/p>\n<p>The post <a href=\"https:\/\/abovethelaw.com\/2025\/11\/the-disco-study-a-watershed-moment-or-just-more-of-the-same\/\" rel=\"nofollow noopener\" target=\"_blank\">The Disco Study: A Watershed Moment Or Just More Of The Same?<\/a> appeared first on <a href=\"https:\/\/abovethelaw.com\/\" rel=\"nofollow noopener\" target=\"_blank\">Above the Law<\/a>.<\/p>\n<p>A new <a href=\"https:\/\/www.google.com\/url?sa=t&amp;source=web&amp;rct=j&amp;opi=89978449&amp;url=https:\/\/csdisco.com\/pressrelease\/disco-study-highlights-rapid-pace-of-legal-generative-ai-adoption-key-barriers-for-lawyers&amp;ved=2ahUKEwiP5P7C1uqQAxUg78kDHbJKGXkQFnoECBwQAQ&amp;usg=AOvVaw2pT_bXAL9MJHBAItzLNuVn\" rel=\"nofollow noopener\" target=\"_blank\">Disco study<\/a> suggests that despite all the hoopla over AI, we have a ways to go before it becomes commonly used in litigation and, more particularly, eDiscovery. The paradox is striking: even though Gen AI benefits are well recognized, there remains stubborn reluctance to embrace it.<\/p>\n<p>The study is entitled <em>Legal AI: Driving the Future of the Profession<\/em>. It was primarily conducted online in the late summer by <a href=\"https:\/\/www.google.com\/aclk?sa=L&amp;ai=DChsSEwikkv_i1uqQAxV8NtQBHTubJ-sYACICCAEQABoCb2E&amp;co=1&amp;gclid=CjwKCAiA2svIBhB-EiwARWDPjmKFPNWYEEvn9-ESn87ubtj0OtXFZKQQcjWgx7lIExcTmvseJ3lVVBoC9pUQAvD_BwE&amp;cid=CAASrwHkaOgCGmHrkqpRQov6_HNpst8nEgKrJlP7Mb-R4Le2f5HVvh4LRs1lf_2suNMD3AcGBu5HWAq--Veu9-rWIQJcO9Hg9OLi4qEDqSkRVGzOuP7cSOA7aTFvzsJFipFKDINxqdIs_aMZ2FBo6_xWOcYqNPfrf7VcXJpdJMrMGH19XBps0hU2o7jC-HnXlAr6_YJZMlLXPF2Az00jsIEV6K1BriZTQzgF1T-F6GLpG2pF&amp;cce=1&amp;sig=AOD64_3CwIT7Zc75SXSRHqmMU_I_YBcRvg&amp;q&amp;adurl&amp;ved=2ahUKEwjSrvbi1uqQAxUX48kDHe9FMpAQ0Qx6BAgMEAE\" rel=\"nofollow noopener\" target=\"_blank\">Disco<\/a> and <a href=\"https:\/\/www.google.com\/url?sa=t&amp;source=web&amp;rct=j&amp;opi=89978449&amp;url=https:\/\/www.arikaplanadvisors.com\/&amp;ved=2ahUKEwiMppTt1uqQAxW1LtAFHUXHGzEQFnoECA4QAQ&amp;usg=AOvVaw23dRqZ16OJ9KRrSQzMNdUZ\" rel=\"nofollow noopener\" target=\"_blank\">Ari Kaplan Advisors<\/a>. The underlying survey was completed by 112 individuals, about half in-house and half in law firms. Interviews were also conducted. The focus was primarily on the use of AI tools in eDiscovery. Disco is a leading eDiscovery provider.<\/p>\n<p><strong>The Significance<\/strong><\/p>\n<p>eDiscovery has traditionally served as the proving ground for legal tech adoption, the proverbial canary in the coal mine.<\/p>\n<p>The fact is eDiscovery is driven by time pressures that are often imposed by courts or clients. These pressures force lawyers and legal professionals to think about how to get work done quickly irrespective of billable hours. When the court orders you to produce relevant documents in 30 days requiring you to locate and review millions of data sources, you don\u2019t have time to figure out how to squeeze out the maximum number of billable hours. You\u2019re more concerned about not being embarrassed or worse.<\/p>\n<p>It was these pressures that led to things like technology assisted review that sped up the eDiscovery process and begrudgingly became the norm.<\/p>\n<p><strong>Watershed Moment?<\/strong><\/p>\n<p>Disco describes eDiscovery as being at a watershed moment with AI. Indeed, there are certainly some suggestions in the Disco data that a corner may about to be turned when it comes to the use of AI. That would make logical sense since the efficiencies and time savings that AI tools could bring are significant.<\/p>\n<p>But some of the data suggests that while AI may indeed revolutionize litigation, things are not yet changing all that much. In fact, Disco itself concludes in its report based on the survey, \u201cFew \u2014 if any \u2014 have unlocked its promise at scale.\u201d<\/p>\n<p><strong>Some Data Points<\/strong><\/p>\n<p>For example, 42% of those in law firms reported no external pressure to use AI solutions. This is consistent with the findings of an <a href=\"https:\/\/abovethelaw.com\/2025\/11\/new-report-on-ai-use-in-house-spells-trouble-for-outside-lawyers\/\" rel=\"nofollow noopener\" target=\"_blank\">ACC study<\/a>, and one done by <a href=\"https:\/\/abovethelaw.com\/tag\/stephen-embry\/\" rel=\"nofollow noopener\" target=\"_blank\">Thompson Hines<\/a>, both of which I previously discussed. Moreover, 36% of in-house attorneys surveyed say they\u2019re not facing pressure to use AI tools from management.<\/p>\n<p>Some more key statistics: only 35% of those surveyed report having incorporated GenAI in routine legal processes to any extent. That\u2019s not terribly surprising, since 56% of in-house counsel say they don\u2019t yet see GenAI as a tool for controlling litigation costs.<\/p>\n<p><strong>The Paradox<\/strong><\/p>\n<p>This reluctance persists even though 70% recognized a top benefit of AI was an increase in efficiency. (Thirty-four percent identified costs savings which amounts to the same thing). Fifty-eight percent mentioned better analysis and insights and 40% reported faster evidence gathering. Similar benefits like the ability to quickly surface key evidence, spotting patterns and themes from the data, and the ability to assess case merit earlier have been noted by leading commentators like <a href=\"https:\/\/ediscoverytoday.com\/2025\/11\/11\/ai-in-review-accelerates-case-strategy-and-reduces-ediscovery-costs-ediscovery-best-practices\/\" rel=\"nofollow noopener\" target=\"_blank\">Doug Austin<\/a>.<\/p>\n<p>It\u2019s a paradox: while GenAI can make things better, it\u2019s not enthusiastically embraced. Why?<\/p>\n<p><strong>Why Indeed?<\/strong><\/p>\n<p>The reasons given for not using AI are a little troubling. Despite evolving tools that better ensure privacy and security, 70% of law firm and 68% in-house respondents said privacy and security are still the biggest obstacles. In addition, consistent with the other surveys mentioned above, both in-house and outside lawyers are concerned about demonstrating ROI.<\/p>\n<p>But the main reason is that legal professionals are, in my opinion, turning a blind eye to the benefits and stubbornly holding on to previous ways of doing things. Fifty-two percent of those in law firms, for example, said they are only using AI to differentiate their firm as an \u201cinnovator.\u201d One lawyer put it this way, \u201cCost is not yet a factor; we are less concerned with profit margin and more on gaining market share.\u201d Another said, \u201cReduced costs are not a reality yet.\u201d\u00a0 In other words, law firms are not using AI substantively or recognizing the benefits.<\/p>\n<p>Several labeled the benefits of GenAI as \u201cpie-in-the sky.\u201d Some cling to the belief that the failure rate with AI in document review is higher than with humans. Some said even though blown away by results, they would still require a substantial amount of human oversight. This even though 79% of those surveyed rated GenAI tools with a three or higher on a five-point scale when it came to accuracy and 53% said it was a four or five.<\/p>\n<p><strong>Other Issues<\/strong><\/p>\n<p>There are a host of other issues cited in the report as rationalizations for avoiding change (my comments to the cited issues appear in parenthesis):<\/p>\n<ul class=\"wp-block-list\">\n<li>Generational Differences: There is a belief that more experienced lawyers are more reluctant to use AI tools than younger lawyers. (The notion seems to be its use is limited to those who, due to their limited experience, can\u2019t be trusted, and that more experienced lawyers won\u2019t be able to master it.)<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Limited Time: \u00a0It takes time \u2014 non-billable time \u2014 to learn how to use GenAI tools (aka let\u2019s not invest the time to do things better).<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Loss of Control: We will lose control of our data if we put it on an AI platform. (We heard that before about the cloud. We know how that turned out.)<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Reduced Billable Hours: \u201cspeed will reduce revenue.\u201c (Of course.)<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>AI Talent Deficiency: There is not enough AI talent available to enable us to understand how to use and implement GenAI. (So many commentators, legal professionals, vendors, and consultants are talking nonstop about AI, it\u2019s hard to conclude the information and talent isn\u2019t there.)<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Misaligned Functionality Expectations: GenAI can do some things, but it just can\u2019t solve most problems yet or fully answer questions. (Perfect should not be an enemy of the good, particularly when the good is recognized.)<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Accuracy Concerns: Accuracy is repeatedly stressed as a reason to encourage continued human oversight. (Accuracy is a concern but that doesn\u2019t mean throwing the baby out with the bath water.)<\/li>\n<\/ul>\n<p><strong>A Silver Lining<\/strong><\/p>\n<p>But there may be a silver lining when it comes to AI and eDiscovery: if history is any guide, things may eventually change.<\/p>\n<p>As I said at the outset, eDiscovery is the canary in the coal mine when it comes to technology adoption by the legal profession. All too often, the pressure to get eDiscovery work done quickly trumps the desire to resist change. We have seen efficiency tools like technology assisted review and continuous machine learning gradually become well accepted and standard, particularly as data and data sources exploded exponentially. It did take years to overcome the notion that humans had to do everything, but we did get there.<\/p>\n<p><strong>The New Reality<\/strong><\/p>\n<p>So, it\u2019s tempting to conclude that despite all its benefits, many of which are already recognized, the adoption of GenAI will take the same slow and torturous course. But there is another reality revealed by the survey: 96% say eDiscovery workloads are increasing or staying the same. And there is a recognition that a variety of new data sources including prompts and outputs must be dealt with. Fifty-two percent of those surveyed say these new sources will make the litigation cycle longer, inevitably increasing costs.<\/p>\n<p>These new data sources and continued time pressures may force legal professionals to adopt GenAI tools out of necessity just to keep up and satisfy the demands of courts, regulators, and clients \u2014 just as they gradually did with the adoption of TAR, only quicker.<\/p>\n<p><strong>eDiscovery Is Cool<\/strong><\/p>\n<p>That\u2019s why watching what happens in eDiscovery is important: legal will be forced, even though kicking and dragging their feet, to adopt GenAI. Time constraints and risk aversion may force the adoption many are currently avoiding.<\/p>\n<p>Or as one respondent put it, perhaps a bit reluctantly, \u201cAI has made eDiscovery cool.\u201d<\/p>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n<p><em><strong>Stephen Embry is a lawyer, speaker, blogger, and writer. He publishes\u00a0<a href=\"https:\/\/www.techlawcrossroads.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">TechLaw Crossroads<\/a>, a blog devoted to the examination of the tension between technology, the law, and the practice of law<\/strong><\/em>.<\/p>\n<p>The post <a href=\"https:\/\/abovethelaw.com\/2025\/11\/the-disco-study-a-watershed-moment-or-just-more-of-the-same\/\" rel=\"nofollow noopener\" target=\"_blank\">The Disco Study: A Watershed Moment Or Just More Of The Same?<\/a> appeared first on <a href=\"https:\/\/abovethelaw.com\/\" rel=\"nofollow noopener\" target=\"_blank\">Above the Law<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A new Disco study suggests that despite all the hoopla over AI, we have a ways to go before it becomes commonly used in litigation and, more particularly, eDiscovery. The paradox is striking: even though Gen AI benefits are well recognized, there remains stubborn reluctance to embrace it. The study is entitled Legal AI: Driving [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[16],"tags":[],"class_list":["post-136867","post","type-post","status-publish","format-standard","hentry","category-above_the_law"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/posts\/136867","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/comments?post=136867"}],"version-history":[{"count":0,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/posts\/136867\/revisions"}],"wp:attachment":[{"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/media?parent=136867"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/categories?post=136867"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/tags?post=136867"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}