AI in legal services: new trends in AI-enabled legal services

Kauffman, Marcos; Soares, Marcelo Negri

doi:10.1007/s11761-020-00305-x

Cited by 23 publications

(4 citation statements)

References 4 publications

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“…Some may believe that algorithms do not possess the capacity for fairness and proper interpretation of law or explanation of decision made (Soukupová, 2021), however, AI can be thought of as an implementation of codified justice system that could bring about fairness and reduction of arbitrariness in justice system (Re & Solow-niederman, 2019). It has capacity to transform legal system by predicting the outcomes of court decisions based on past judgements (Kauffman & Soares, 2020). With Artificial Intelligence, possibility of efficiency in judicial system with high level of predictability and accuracy of case outcome exist (Mccarthy, 2020).…”

Section: Artificial Intelligence (Ai) In Judicial Systemmentioning

confidence: 99%

“…It will also improve the quality of decisions and reduce time taken during trials and proceedings. There are simple and complex cases which into which AI can support judge in different front Like examination of evidence during proceeding and the generation of elemental adjudication instruments in a short period (Kauffman & Soares, 2020;Xu, 2022).…”

Section: Artificial Intelligence (Ai) In Judicial Systemmentioning

confidence: 99%

“…Sorting several cases into categories or finding pattern in a case with large volume of information could be a daunting task; however, AI application like 'eDiscovery' being used in American courts performs intelligent analysis of case files before the start of a court procedure (Reiling, 2020). eDiscovery uses machine learning to extract the relevant parts from a large amount of information (Kauffman & Soares, 2020). This help to focus on the case more precisely.…”

Section: Extracting Patterns In Case Filesmentioning

confidence: 99%

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Artificial Intelligence and Technology for Improving the Efficiency of The Judiciary in Nigeria

Jiya,

Samaila,

Surajo

2023

IJRIAS

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Technology is an essential component of the civilization of twenty-first-century society and one of the key forces influencing public sector organizations. Public infrastructures like transportation systems and important service delivery are managed using technology and powerful computing software. Artificial intelligence (AI) on the other hand helps to add intelligence to computing devices and applications through learning, reasoning, and perceiving things from data. However, the level of adoption or application of these technologies in the Nigerian judiciary seems to be low as seen during the covid-19 outbreak. The closed down of courts led to an increase in the backlog of cases due to the suspension of court proceedings. Even the option of filling cases using technology like WhatsApp could not function effectively. AI can This paper identifies some areas technology and AI can improve the performance of Nigeria’s judiciary and increase the speed of justice dispensation.

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Section: Artificial Intelligence (Ai) In Judicial Systemmentioning

confidence: 99%

Section: Artificial Intelligence (Ai) In Judicial Systemmentioning

confidence: 99%

Section: Extracting Patterns In Case Filesmentioning

confidence: 99%

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Artificial Intelligence and Technology for Improving the Efficiency of The Judiciary in Nigeria

Jiya,

Samaila,

Surajo

2023

IJRIAS

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“…2022 ). Law firms have also increasingly adopted AI models to provide legal services to their clients, particularly regarding tax and contract law (Kauffman and Soares 2020 ). However, the computability of law , namely the ability of algorithms to provide legal analysis, advice, or predictions, remains a subject of fierce debate, especially regarding adjudication.…”

Section: Introductionmentioning

confidence: 99%

The use of AI in legal systems: determining independent contractor vs. employee status

et al. 2023

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The use of artificial intelligence (AI) to aid legal decision making has become prominent. This paper investigates the use of AI in a critical issue in employment law, the determination of a worker’s status—employee vs. independent contractor—in two common law countries (the U.S. and Canada). This legal question has been a contentious labor issue insofar as independent contractors are not eligible for the same benefits as employees. It has become an important societal issue due to the ubiquity of the gig economy and the recent disruptions in employment arrangements. To address this problem, we collected, annotated, and structured the data for all Canadian and Californian court cases related to this legal question between 2002 and 2021, resulting in 538 Canadian cases and 217 U.S. cases. In contrast to legal literature focusing on complex and correlated characteristics of the employment relationship, our statistical analyses of the data show very strong correlations between the worker’s status and a small subset of quantifiable characteristics of the employment relationship. In fact, despite the variety of situations in the case law, we show that simple, off-the-shelf AI models classify the cases with an out-of-sample accuracy of more than 90%. Interestingly, the analysis of misclassified cases reveals consistent misclassification patterns by most algorithms. Legal analyses of these cases led us to identify how equity is ensured by judges in ambiguous situations. Finally, our findings have practical implications for access to legal advice and justice. We deployed our AI model via the open-access platform, https://MyOpenCourt.org/ , to help users answer employment legal questions. This platform has already assisted many Canadian users, and we hope it will help democratize access to legal advice to large crowds.

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