Abstract
The integration of Artificial Intelligence (AI) in the District Judiciary has the potential to revolutionize the legal system by increasing efficiency, reducing backlogs, and ensuring access to justice. This paper explores the role of AI in the Indian Judiciary with a focus on its scope in district courts. The paper identifies different stages of the legal process, from pre-litigation to case closure, where AI can be used to improve the judicial system. AI-powered solutions can facilitate online dispute resolution, automate document analysis, optimize case allocation, summon delivery, and enhance judgment delivery. Additionally, AI can aid in evidence analysis, hearing management, and case monitoring, leading to faster and more accurate decision-making. The paper also discusses the need for a standardized framework, digitization of records, language inclusivity, judicial training, ethical research, and development to ensure the responsible adoption of AI in the judiciary. Ultimately, the strategic use of AI can lead to a more accessible, efficient, and equitable judicial system by enhancing the delivery of justice in India.
Keywords: Artificial Intelligence, district judiciary, judicial efficiency, access to justice, digital transformation.
1. Introduction
"The integration of AI in modern processes, including court proceedings, raises complex ethical, legal, and practical considerations that demand a thorough examination. The use of AI in court adjudication presents both opportunities and challenges that warrant nuanced deliberation." - Former Chief Justice of India, Dr DY Chandrachud
Artificial Intelligence (AI) has revolutionised every industry by altering the definition of innovation, accessibility, and efficiency. The term Artificial Intelligence (AI) describes how robots may mimic human intelligence functions such as learning, reasoning, and self-correction. From natural language processing to prediction algorithms, it has completely changed the way we engage with technology. Its use in the fields of governance, education, healthcare, and even the creative industries demonstrates that artificial intelligence (AI) may be a vehicle for resolving historical issues and generating new opportunities.
In the judiciary, AI has the potential to completely transform the legal system by increasing efficiency, decreasing backlogs, and guaranteeing fair access to the legal system. AI-powered solutions have been used all across the world to help with legal research, case management, and even the drafting of judgments. The Indian judiciary, often referred to as the pillar of democracy, faces the monumental challenge of clearing millions of pending cases while ensuring timely justice for all. As the caseload continues to grow, the need for innovative solutions has become more urgent. Artificial Intelligence (AI) offers a transformative approach to addressing these challenges by streamlining processes, reducing delays, summarising voluminous case records, and improving the efficiency of court operations. From simplifying the filing of cases to aiding in judgment drafting and monitoring compliance, AI has the potential to revolutionise every stage of the judicial process. District courts are considered the frontline of the judiciary system as they provide a venue for various types of cases, including civil, criminal, and administrative. This raises the volume of instances for the use of AI technologies in District Judiciary, like natural language processing while recording evidence in courts, and translation to the language of the court, predictive analysis aiding in pre-litigation /mediation and they hold the potential to reshape case management, legal research and aiding the decision-making process at the District Judiciary.
This paper explores the interface of AI and the Indian judiciary, with an emphasis on its scope in district courts. The first chapter analyzes procedural inefficiencies in the case journey from pre-litigation to closure. It lists issues such as filing delays, manual case assignments, ineffective hearing scheduling, and judgment delivery. The second chapter discusses how AI can be used to solve the problems identified in the first chapter. Each step of the legal process, pre-litigation, filing and assignment, hearing management, and judgment drafting, is thoroughly examined in the chapter. The final chapter delves into what AI will hold for the future of the Indian judiciary. In that regard, recommendations for using AI tools may be made regarding standardization of a framework, records digitization, and making languages more accessible.
2. Digital Transformation in the Case Journey at the District Judiciary
The district judiciary handles the major share of the legal disputes in India, but its processes are slow and outdated, and need to address contemporary requirements. The journey of a case through district courts involves several interconnected stages, from pre-litigation assistance to case closure. Below is a detailed explanation of each stage and the challenges faced in the current scenario.
i. Problem: Addressing Initial Legal Queries
People who encounter legal problems frequently find it difficult to comprehend their rights and potential remedies from the outset. The majorities of individuals do not have access to accurate and reasonably priced legal advice, particularly in rural areas where there are few experienced solicitors. They consequently either put off acting or appear in court unprepared. Misunderstandings and ill-prepared cases are frequently the result of the existing reliance on unofficial advice from friends, relatives, or unreliable internet sources. Furthermore, the government's legal aid programs are underutilised and have a limited reach, which prevents many people from getting the advice they need before bringing a case.
ii. Filing of a Case: Streamlining Document Submission
A case must be filed by submitting several documents, such as affidavits and petitions, in order to start the legal process. In district courts, this procedure is still mostly done by hand, requiring litigants or their solicitors to physically attend the court's location. The documents are manually verified by court employees, which might cause delays and mistakes. Due to their ignorance of procedural standards, many litigants, particularly those who are new to the legal system, make inaccurate or incomplete filings. Although some courts have implemented e-filing systems, people who lack digital literacy or because of the digital divide are unable to access them. Furthermore, e-filing platforms' efficacy is further limited by their inability to process submissions in regional languages.
iii. Case Assignment: Fair and Efficient Allocation
A matter must be assigned to a judge or bench for additional proceedings after it is filed. This procedure is carried out manually in the majority of district courts using predetermined criteria or fixed rosters. Such manual procedures, however, do not take into account elements such as the intricacy of a case or the judges' current workload, which results in an unequal distribution of cases. Judges who lack the necessary experience may be assigned complex cases, and certain judges may be overburdened with cases, which could lead to delays. Furthermore, the lack of an automated system frequently results in inefficient procedures, especially in courts that handle a large number of cases.
iv. Hearing Scheduling: Managing Conflicts in Schedules
A crucial step in the legal process is scheduling hearings, which calls for cooperation from litigants, attorneys, and judges. However, the manual scheduling is prone to errors and conflicts. The lack of real-time scheduling integration based on the real-time workload of the judges and attorneys results in frequent adjournments. The entire day's timetable is thrown off by these adjournments, which postpone not just the case in question but also related ones. Routine hearing delays are also exacerbated by the frequently erratic prioritisation of urgent matters. An already overworked system becomes needlessly complex due to the absence of a simplified scheduling mechanism.
v. Issuing Summons/Notices: Faster and Accurate Communication
One crucial step in making sure that everyone concerned in a case is informed and able to take part in the proceedings is the issuance of summons and notifications. Further, the 77th Law Commission Report has shown that the stage of the case where maximum delay is involved is the stage of service of summons. Normally, the courts depend on conventional postal services to send these documents, which frequently take longer or never arrive because of inaccurate or out-of-date addresses. In the case of the manual service of summons, it becomes difficult to check if the notices have reached their intended recipients, as tracking the delivery status of summonses is difficult. Hence, proceedings cannot begin until all parties have been notified; these inefficiencies result in major delays in the commencement of hearings. Now with NSTEP in place in the District Judiciary, thanks to the eCourts project, which can track through GPS the actual place of service of summons, real-time reflection of the status in the concerned court, capturing the identity of the person to whom the summons is served, which are real game changers in the Trial courts and District Judiciary. But still, then the areas where AI can be harnessed as discussed further in this paper.
vi. Case Hearings: Enhancing Courtroom Efficiency
Judges and lawyers frequently use physical case files during hearings, which can be difficult to browse, particularly in complex cases with a lot of documentation. Hearings are less effective when there are no digital tools available to arrange and display case information. Judges frequently have to go over case files by hand, which lengthens the time needed to comprehend the issue and reach a ruling. In a similar vein, the disarray of tangible records may make it difficult for advocates to make cases. Hearing and recording of evidence becomes time-consuming with manual transcription of evidence.
vii. Judgment Delivery: Drafting and Analysis
A thorough examination of the arguments, supporting documentation, and established legal precedents is necessary before rendering a decision. Currently, judges use extensive case law and documents to personally prepare their rulings. This procedure consumes considerable time for the Judges, especially when dealing with complicated cases and heavy workloads. A lot of time is spent by the judges to find pertinent precedents, legal research to analyse the march of law, and summarise the points of the witnesses, document summarisation, and note-making to aid the decision making. Additionally, judges are frequently under pressure because of a large number of cases pending, which may have an impact on the caliber and promptness of their rulings.
viii. Reporting and Legal Reference: Real-Time Insights
To ensure that decisions are well-informed and that judicial processes are transparent, legal research and case monitoring are essential. However, the majority of case information is kept by district courts using antiquated digital systems or paper records. It is challenging for judges and solicitors to obtain correct and current case details due to these systems' inefficiency and error-proneness. Limited access to court records makes it difficult for litigants to monitor the status of their claims. The lack of sophisticated reporting tools makes it even more difficult for courts to spot bottlenecks and take proactive measures to reduce delays.
ix. Case Closure: Ensuring Compliance and Execution
The final stage of the judicial process, case closure, involves the enforcement of court orders. The absence of efficient monitoring systems frequently causes this stage to be prolonged. Currently, courts use manual procedures to monitor adherence to orders, including eviction or dues recovery. These procedures take a lot of time, and noncompliant parties can easily manipulate them. As they must take additional legal action to secure compliance with judgements, litigants frequently experience significant financial and emotional hardships. Delays in reaching a final decision are exacerbated by the lack of a centralised framework to oversee and implement orders.
3. Harnessing Ai in Judicial Processes: A Step-By-Step Insight
Artificial Intelligence (AI) can make the legal process faster and more efficient. By using AI in areas like case filing, evidence analysis, and judgment drafting, courts can reduce delays and improve accuracy. Here, we explore how AI can be used at different stages of the judicial process with real-world examples:
Pre-Litigation Stage:
The first and most crucial phase of the legal procedure is pre-litigation. It has direct responsibility for the prompt resolution of cases and out-of-court settlements. The goal of the pre-litigation phase is to settle disagreements before they become official lawsuits. In order to reduce the workload on courts and expedite the resolution of disputes, this step typically entails arbitration, mediation, negotiation, conciliation, or judicial settlement. The digital tool in place at the stage of pre-litigation is the online portal of NALSA, SALSA wherein any litigant can now seek legal aid at the earliest stage through their legal aid platform. The Government of India telelaw initiative is another digital transformative tool available for the litigant at the earliest stage of litigation to get legal aid over the phone. As per the DOJ portal, as of 6th Jan 2025 legal aid to 1.05 crore beneficiaries has been catered through tele law facility which proves the extent of the digital transformation tool aiding litigants.
Further, AI can improve pre-litigation activities through automated Online Dispute Resolution (ODR) platforms. Online Dispute Resolution (ODR) mediates negotiations, suggests just and equitable settlements, and analyses and comprehends disagreements using algorithms. Chatbots with AI capabilities also help people by advising them of their legal rights and possibilities. For instance, Presolv360 uses AI to resolve disputes in contractual matters. FaXiaotao is an AI-powered legal robot that helps people select a suitable lawyer. By analysing the precise legal situation at hand, it discovers relevant legal topics and searches a large database of lawyers throughout China.
Filing of Cases:
The digital transformation that has occurred at the stage of filing is the efiling system which is in place in the District Judiciary. The same facility is also available in the High Courts and at the Supreme Court. As per the eCommittee statistics 55,27,589 have been filled through the e-filing portal as of 31.10.2025. This digital transformation has also completely changed the filing stage as now the Advocates and litigants can file cases without physically visiting the courts. Stakeholders enter the digital e-filing platform, which enables submitting plaints, petitions and supporting documentation to start a lawsuit. It is a crucial step since it establishes the framework for the legal system and assesses procedural conformity. Through efiling the travel cost has been minimised and gives equal access to the advocates to file cases anywhere in the country. For instance, the Supreme Court’s e-filing portal incorporates AI to ensure compliance with procedural rules and as a reference support infrastructure. SUPACE (Supreme Court Portal for Assistance in Court’s Efficiency) is another innovation that is used by Supreme Court judges in document analysis.
Registration of Case:
AI can enhance every stage of the judicial process including case registration and allocation. Cases are registered and assigned to judges upon their submission. This procedure necessitates classification according to subject matter, complexity, and urgency.
Issuance of Summons and Notices
In order to guarantee that parties and witnesses appear in court, the timely service of summonses and notices is crucial. However, incorrect addresses, ineffective tracking, and a lack of follow-ups frequently cause delays at this step. The use of AI can optimize this process by confirming addresses, monitoring the delivery of summons and notices using GPS-enabled tracking, and automated reminders for undelivered notices. AI can expedite dispatch by prioritising urgent alerts.
Hearing Management:
The main focus of the district courts is the trial proceedings and hearing of cases. Efficient hearing management can aid in the prompt resolution of cases. Case Information software is in place in the entire District Judiciary. The variety of data entered daily across the country in every court starting from the taluk to the district level catering to its various stakeholders like Advocate, and litigants to get the case status, court orders, and cause list at the click of the mouse,247 and free of cost. The judges of the court also digitally manage the courts with their JustIS app which assists them in efficiently managing case hearings in every court of the District judiciary. Recently, the Supreme Court of India has introduced the digital tool of recording live transcription of the arguments of important matters and the same is available on the website of the Supreme Court.
Examination of Evidence:
The examination of evidence is critical in determining a case's result. This stage usually involves sifting through vast amounts of digital and physical evidence. In the USA, AI-powered systems, such as COMPAS (Correctional Offender Management Profiling for Alternative Solutions), help courts assess risk by analysing aspects like criminal past, social and economic background, and mental health to forecast recidivism rates.
Judgment Drafting:
Judgment drafting is a scrupulous process where judges blend legal arguments, evidence, and precedents into a well-drafted judgment. AI tools assisting in decision-making have a larger scope in the days to come. Recently, the Hon’ble Punjab and Haryana High Court requested ChatGPT's response in Jaswinder Singh @ Jassi vs. State of Punjab (2023 LiveLaw (PH) 48) in order to obtain a more comprehensive understanding of global bail law when handling a bail plea:
“9. To further assess the worldwide view on bail when the assault was laced with cruelty, the use of Artificial intelligence platform which has been trained with multitudinous data was made. The following question was put to ChatGPT Open AI [https://chat.openai.com/chat]:
10. What is the jurisprudence on bail when the assailants assaulted with cruelty?
Response of ChatGPT:
The jurisprudence on bail for cases where the assailants have assaulted with cruelty will depend on the specific circumstances of the case and the laws and regulations of the jurisdiction where the case is being tried. However, in general, if the assailants have been charged with a violent crime that involves cruelty, such as murder, aggravated assault, or torture, they may be considered a danger to the community and a flight risk. In such cases, the judge may be less inclined to grant bail or may set the bail amount very high to ensure that the defendant appears in court and does not pose a risk to public safety. The severity of the assault, the defendant's criminal history, and the strength of the evidence against them are all factors that a judge will consider when deciding whether to grant bail. It is important to note that the presumption of innocence is a fundamental principle of the justice system, and all defendants are entitled to bail unless there are compelling reasons to deny it. Therefore, even in cases where the assailants have assaulted with cruelty, they may still be granted bail if the judge determines that they do not pose a risk to the community or a flight risk.
11. Any reference to ChatGPT and any observation made hereinabove is neither an expression of opinion on the merits of the case nor shall the trial Court advert to these comments. This reference is only intended to present a broader picture on bail jurisprudence, where cruelty is a factor.”
On May 23, 2024, the Hon’ble Manipur High Court in Md. Zakir Hussain vs The State of Manipur (2024 LiveLaw (Man) 4) undertook the assistance of ChatGPT to do research before pronouncing the ruling about the Village Development Force ("VDF"):
“[7] In the circumstances, this Court is compelled to do extra research through Google and ChatGTP 3.5. The following important information regarding the VDF is collected.
[8] The Village Defence Force, popularly known as VDF, in Manipur was established to enhance local security and assist the police in maintaining law and order, especially in the rural areas. Initiated under the Manipur Police, the VDF consists of volunteers from the local communities who are trained and equipped to guard their villages against various threats, including insurgent activities and ethnic violence. After completing the training successfully and passing any required assessments, the candidates are formally appointed as members of VDF. Once appointed, VDFs are assigned duty along with the police force. However, there is no material on record regarding the service conditions of VDF personnel.”
For instance, judges in China's Smart Court system are equipped with AI technology that examines prior cases and recommends pertinent laws and precedents. In order to help courts make better decisions and deliver justice more quickly, it can also suggest sentences based on comparable cases.
Execution of Orders:
The execution stage involves enforcing court orders and verifying whether the orders are executed in a reasonable time or not. Enforcing court orders within a timeline is an important part of the execution stage. Due to logistical issues or the absence of a mechanism to determine the court orders' compliance, this stage frequently experiences enormous delays, thereby preventing the litigant from reaping the fruits of the court decree/order. AI can monitor defaulters for failing to execute orders, check order compliance, and notify parties to comply, thereby efficiently monitoring compliance with the court orders. This will be a real game changer for enhancing the execution process of the District Judiciary.
Case Monitoring and Reporting:
Monitoring case progress and generating reports is essential for transparency and accountability. AI can track the status of cases in real-time, generate reports on pending cases, and identify reasons for delays. This will help courts improve efficiency in judicial proceedings and ensure better communication among stakeholders. For instance, E-Court Portal provides basic case tracking, but with the use of an AI-driven dashboard, we can enhance its functionality and efficiency.
4. Futuristic Role of Artificial Intelligence in the Journey of Justice in the District Judiciary
Artificial Intelligence (AI) has the potential to transform the Indian judicial system by addressing inefficiencies, delays, and accessibility challenges at every stage of the justice process. This chapter explores how AI can shape the future of justice, making the system faster, fairer, and more accessible to everyone.
Pre-Litigation Stage: AI-Based Legal Aid Chatbots
AI-powered legal assistance chatbots can help people by answering basic legal questions, providing guidance, and suggesting solutions such as mediation or arbitration. These tools can also help you create simple legal documents like notices and agreements. The government and courts should invest in AI-powered chatbots that can operate in regional languages. Such chatbots can offer free and dependable pre-litigation help, making justice available even in remote locations. Further, we can expand the scope of AI-based ODR platforms for minor disputes such as consumer complaints and traffic violations, which could significantly reduce court caseloads.
Filing of a Case: Automated Document Analysis
The process of filing a case frequently requires the preparation of lengthy legal paperwork, which can be time-consuming and error-prone. AI can assist by automatically analysing and verifying these documents' procedural accuracy. Furthermore, it can categorise cases as civil, criminal, or commercial for simpler processing. E-filing systems in all courts should include AI technologies for document screening and classification. AI should also be utilised to allow filing in multiple languages, making the process more inclusive for persons from other places. Artificial intelligence (AI) can expedite the e-filing stage by enhancing efficiency and accessibility through the automation of document preparation and verification. There is a grand scope for AI in automated document verification, aiding the court staff in the scrutiny of the filed records, identifying defects, and checking compliance with the rules, which will save a lot of time and will surely become an efficient productivity tool for the courts. It can check for rule compliance, spot errors in files, and even help with petition drafting. Furthermore, AI-based systems can facilitate the District Judiciary's case filing process by facilitating smooth online filing and multilingual support. Further, we can integrate the AI-enabled e-filing systems at the national level with support for regional languages that can make this process more inclusive and efficient.
Case Assignment: Intelligent Case Allocation
Assigning cases to judges is a key duty that must take into account the case's intricacy and the judges' workload. AI can utilise algorithms to determine the topic matter, urgency, and complexity of cases before assigning them to the right judge or bench. Courts should put in place a statewide AI-based case allocation system to ensure openness and impartiality in case assignments. This will also help to eliminate delays caused by incorrect case assignments and avoid overloading judges. AI can allocate cases to appropriate judges by classifying them according to factors like subject-wise expertise of the Judge, based on the workload of the Judge, complexity of the cases, urgency, or topic matter. This will lessen allocation arbitrariness and provide a balanced workload.
Hearing Scheduling: Real-Time Conflict Detection
Hearings are often difficult to schedule because judges, lawyers, and litigants' schedules may conflict. This results in repeated adjournments, which slow the resolution of cases. AI can fix this difficulty by analysing all parties' calendars and offering dates that are convenient for everyone. AI can also prioritise urgent cases and automatically reschedule hearings in the event of unexpected conflicts. Courts should implement artificial intelligence-based scheduling systems that interact with judges' and lawyers' calendars. This will reduce delays caused by scheduling issues and improve court procedures.
Authenticity of Evidence and Judgment Delivery: AI-Assisted Analysis
AI can play a crucial role in aiding courts in confirming the authenticity of the witnesses and the evidence at the trial. It can confirm the identity of the witness through face recognition, thumb impression, and voice recognition. AI can also confirm the authenticity of digital evidence such as CCTV footage, emails, and images. It can also mark the discrepancies in witness statements by cross-referencing them with available data. In addition to that, delivering judgments requires judges to spend significant time researching past cases, laws, and legal principles. AI tools can speed up this process by analyzing similar cases, providing relevant legal precedents, and suggesting structured arguments. AI can assist in summarizing case files, suggesting relevant case laws, and even drafting important parts of judgments. Particularly in criminal case judgements, AI can assist in recommendations for sentencing based on similar cases and also analyse the antecedents of the accused. AI systems like SUPACE, which assist judges in analyzing case laws, should be expanded to include district and high courts. Additionally, these tools should support drafting judgments in regional languages to ensure accessibility for litigants.
Reporting and Legal Research: Advanced Tools for Insights
Judges and lawyers frequently spend hours reviewing case law, statutes, and legal commentary. AI-powered research tools can rapidly reveal pertinent legal information and even recommend how similar cases were resolved. These techniques save time while ensuring that all legal arguments are supported by solid precedents. Courts should collaborate with legal technology businesses to create AI tools that offer real-time legal research insights. These tools should be linked to court systems so that judges and lawyers can conveniently access information during hearings and case preparation. AI can assist during hearings by providing real-time transcription of proceedings, locating relevant precedents, and summarising case files. It can also offer recommendations to support legal reasoning based on previous decisions.
General Recommendations for Implementing AI in Courts
● Standardized Framework: There must be a unified AI policy in all courts in India so that consistency and compatibility between systems are guaranteed.
● Digitization of Records: All records must be digitized and placed in a centralized database through which AI tools must access and analyze them.
● Language Inclusivity: AI systems should be trained in multiple Indian languages so that justice is meted out to all citizens. Any court in the District Judiciary should be seamlessly handling any language of its stakeholders. This will be a boon for India, which has 22 scheduled languages in the Constitution.
● Judicial Training: Workshops and Training sessions should be conducted for judges and lawyers on how to effectively use AI tools for effective case management.
● Research and Development for Judiciary: Research and development for the Indian Judiciary to develop customized AI solutions for Indian courts is the need of the hour to keep pace with the AI technological sweep.
● Ethical AI practices: It should be ensured that AI tools are unbiased, transparent, and respectful of data privacy.
AI has enormous potential in the legal system, as highlighted by Mr Sundaresh Menon, Chief Justice of Singapore:
“If used properly, AI can be a tremendously useful assistive tool that can improve the quality of decision-making and enable judges to surpass ordinary human limitations. AI may prove to be indispensable in dealing with the increasing technical, evidential, and legal complexity that we see in many categories of disputes today.”
It can facilitate quicker and more accurate case filing, guarantee equitable case distribution among judges, and empower individuals with pre-litigation legal aid. AI-powered solutions can also improve the quality and timeliness of judgments, streamline judicial operations, and cut down on delays brought on by inefficient procedures. Furthermore, the court process might become more transparent and inclusive for all parties involved, including plaintiffs, attorneys, and judges, with the use of AI tools like automated case tracking dashboards, multilingual e-filing systems, and sophisticated legal research platforms. Even though AI has a lot of promise, its adoption needs to be done carefully and strategically. Making sure AI systems maintain objectivity and respect justice is a major worry. To prevent sustaining systemic or cultural biases that can jeopardise decision-making fairness, algorithms need to be properly developed and trained. Strong ethical frameworks must also be put in place to guarantee accountability, transparency, and data privacy. AI systems must be protected from abuse or breaches due to the sensitive nature of judicial data, and their functioning should be routinely examined to preserve public confidence.
In conclusion, Artificial Intelligence (AI) has the potential to improve the judiciary's responsiveness to public demands by tackling delays and backlogs while upholding equity and accountability. But realising this goal calls for a methodical, moral, and cooperative strategy that strikes a balance between technical advancement and the core values of justice. AI integration in the Indian judiciary has the potential to be a major step towards achieving a more accessible, effective, and equal judicial system for everyone if the proper laws, funding, and protections are in place.
The future of justice delivery in India will be significantly shaped by artificial intelligence (AI) as the judiciary sets out on its path towards digital transformation. This paper emphasises how crucial it is to use AI responsibly to build an inclusive, equitable, and effective judiciary, which can be summarised by quoting the words of the Hon’ble Mr. Justice KV Viswanathan, Judge, Supreme Court of India:
“AI should not be outrightly rejected, but rather approached with caution. AI systems hold significant promise in aiding legal practitioners by streamlining processes and supporting better decision-making. An AI system, if used properly, can be a tremendously useful assistive tool that can improve the quality of decision-making and enable judges to surpass ordinary human limitations. AI should be used as an enhancement and not as a replacement for human intelligence, ensuring that legal professionals continue to play the pivotal role in upholding justice.”
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