{"id":129551,"date":"2026-07-17T20:28:44","date_gmt":"2026-07-17T15:28:44","guid":{"rendered":"https:\/\/nationaltimes.pk\/eng\/?p=129551"},"modified":"2026-07-17T20:28:45","modified_gmt":"2026-07-17T15:28:45","slug":"study-finds-ai-use-in-trial-courts-results-in-over-6pc-more-cases-resolved-annually","status":"publish","type":"post","link":"https:\/\/nationaltimes.pk\/eng\/2026\/129551\/","title":{"rendered":"Study finds AI use in trial courts results in over 6pc more cases resolved annually"},"content":{"rendered":"\n

Web desk(National Times)- A large-scale field trial on the integration of generative artificial intelligence (AI) into the country\u2019s justice system found that the use of AI resulted in an additional 1,848 cases being resolved per year, an increase of more than six per cent over the average, it emerged on Friday.<\/p>\n\n\n\n

\u201cThis increase does not appear to come at the expense of reduced quality,\u201d observed a research paper<\/a> on the rollout of a generative AI assistant in Pakistan\u2019s trial courts, titled \u201cCourts of Tomorrow: Evidence from a Nationwide Rollout of Generative AI\u201d, that was published on Tuesday.<\/p>\n\n\n\n

The authors of the paper, researchers Sultan Mehmood, Christoph Goessmann and Elliott Ash, said that the custom assistant \u2014 named JudgeGPT<\/em> \u2014 was a chatbot based on OpenAI\u2019s GPT-4 family of models. It was customised for the Pakistani context and beta-tested \u201cintensively\u201d with Federal Judicial Academy before being deployed for use by 1,559 judges serving across 118 courts.<\/p>\n\n\n\n

According to the findings, it was most effectively implemented when paired with targeted training for judges on the use of the tool. The trial found that introducing the assistant alongside targeted training corresponded to an additional 1,848 cases being resolved per year, a 6.3pc increase over the mean.<\/p>\n\n\n\n

\u201cJudges who received AI access together with targeted training on the use of the tool were more likely to adopt it, use it more intensively, and continue using it over time,\u201d the study noted. \u201cTheir attitudes toward AI also shift: they expect the tool and the targeted training to increase their productivity.\u201d<\/p>\n\n\n\n

Targeted training on the implementation of the AI tool was found to apparently shift its use towards tasks where language models were \u201clikely to be more useful\u201d, such as text improvement, and away from more open-ended legal queries \u201cwhere responses are more costly to verify\u201d, it added.<\/p>\n\n\n\n

The trial was conducted among \u201croughly half of the country\u2019s trial judges and 80pc of district courts\u201d, with 1,559 judges randomly divided into three groups for the study.<\/p>\n\n\n\n

Of these, one group was given access to JudgeGPT with targeted training on how to use the tool in judicial work, while one was given access to the tool with only \u201cgeneric training\u201d on technology and law. The control group received generic training without access to the assistant.<\/p>\n\n\n\n

The outcomes were measured via a baseline survey on judge\u2019s attitudes towards generative AI, followed by another survey roughly three months after the rollout which measured post-treatment perceptions and expected productivity gains. The records of the JudgeGPT<\/em> platform were also accessed to measure the uptake and determine what kind of tasks judges assigned to the tool.<\/p>\n\n\n\n

Additionally, district-level administrative court records were accessed to examine whether assigning judges to the AI tool increased local case resolution. Judicial opinions from before and after the trial were also used to assess its effects on writing quality and \u201cwhether AI altered written attitudes towards gender or religion\u201d.<\/p>\n\n\n\n

The findings showed that, although the post-treatment opinions of the \u201ctreated\u201d judges contained more text classified as AI-generated than those of the control group, there was little evidence that this resulted in a deterioration in writing quality.<\/p>\n\n\n\n

\u201cIf anything, there is a positive effect of AI on the quality assessment.\u201d The study also noted \u201clittle evidence of systematic changes in pro-Muslim or gender bias in judicial language\u201d.<\/p>\n\n\n\n

Judges primarily used the tool for legal research and writing support, it was found, while targeted training shifted its use towards \u201cbounded support tasks such as text improvement and summarisation, rather than full-text generation\u201d.<\/p>\n\n\n\n

\u201cThese uses are well suited to large language models and are more likely to preserve judicial agency,\u201d the study added.<\/p>\n\n\n\n

In its conclusions, it noted that access to JudgeGPT<\/em> was found to increase AI use, but sustained engagement depended strongly on targeted training.<\/p>\n\n\n\n

\u201cWe do not study AI as a replacement for judges,\u201d the paper stated. \u201cWe study it as a tool that may change how judges carry out recurring parts of their work.\u201d<\/p>\n\n\n\n

It added, \u201cFor judiciaries facing persistent backlogs, AI is therefore not a panacea. But when a tool is built around relevant legal materials and paired with training that directs use toward appropriate tasks, it can become a practical tool for improving state capacity.\u201d<\/p>\n\n\n\n

In April, the National Judicial Policy Making Committee (NJPMC) formally issued national guidelines<\/a> for the use of AI in judicial institutions.<\/p>\n\n\n\n

The key highlights of the guidelines include a human-centric approach through which AI would assist \u2014 and not replace \u2014 judicial decision-making, ensuring judges remained the \u201cultimate arbiters\u201d.<\/p>\n\n\n\n

Likewise, it will promote ethical and transparent use, providing strong safeguards against bias, with emphasis on explainability and accountability.<\/p>\n","protected":false},"excerpt":{"rendered":"

Web desk(National Times)- A large-scale field trial on the integration of generative artificial intelligence (AI) into the country\u2019s justice system found that the use of AI resulted in an additional 1,848 cases being resolved per year, an increase of more than six per cent over the average, it emerged on Friday. \u201cThis increase does not […]<\/p>\n","protected":false},"author":2,"featured_media":129552,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-129551","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-national","entry"],"yoast_head":"\nStudy finds AI use in trial courts results in over 6pc more cases resolved annually - Nation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/nationaltimes.pk\/eng\/2026\/129551\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Study finds AI use in trial courts results in over 6pc more cases resolved annually - 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