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This study aims to adopt a systematic review approach to examine the existing literature on law and LLMs.It involves analyzing and synthesizing relevant research papers, reports and scholarly articles that discuss the use of LLMs in the legal domain. The review encompasses various aspects, including an analysis of LLMs, legal natural language processing (NLP), model tuning techniques, data processing strategies and frameworks for addressing the challenges associated with legal question-and-answer (Q&A) systems. Additionally, the study explores potential applications and services that can benefit from the integration of LLMs in the field of intelligent justice.

This paper surveys the state-of-the-art research on law LLMs and their application in the field of intelligent justice. The study aims to identify the challenges associated with developing Q&A systems based on LLMs and explores potential directions for future research and development. The ultimate goal is to contribute to the advancement of intelligent justice by effectively leveraging LLMs.

To effectively apply a law LLM, systematic research on LLM, legal NLP and model adjustment technology is required.

This study contributes to the field of intelligent justice by providing a comprehensive review of the current state of research on law LLMs.

Over a decade since the Special Criminal Court (SCC) was established in Cameroon, hundreds of individuals have been indicted, tried and convicted. Sentences have been imposed, most of which include a term of imprisonment (principal punishment/penalty) and confiscation as accessory penalty or punishment. Research focus has not been directed at the sentences which, as argued in this paper, are inconsistent, incommensurate with the amounts of money stolen and a significant departure from the Penal Code. This paper aims to explore the aspect of sentencing by the SCC.

To identify, highlight and discuss the issue of sentencing, the paper looks at a blend of primary and secondary materials: primary materials here include but not limited to the judgements of the SCC and other courts in Cameroon and the Penal Code. Secondary materials shall include the works of scholars in the fields of criminal law, criminal justice and penal reform.

A few findings were made: first, the judges are inconsistent in the manner in which they determine the appropriate sentence. Second, in making that determination, the judges would have been oblivious to the prescripts in the Penal Code, which provides the term of imprisonment, and in the event of a mitigating circumstance, the prescribed minimum to be applied. Yet, the default imposition of an aggravating circumstance (being a civil servant) was not explored by the SCC. Finally, whether the sentences imposed are commensurate with the amounts of monies stolen.

This research unravels key insights into the functioning of the SCC. It advances the knowledge thereon and adds to the literature on corruption in Cameroon.

The prosecution and judges at the SCC should deepen their knowledge of Cameroonian criminal law, especially on the nature of liberty given to judges to determine within the prescribed range of the sentence to be imposed but also consider the existence of an aggravating factor – civil servant. They must also consider whether the sentences imposed befit the crime for which they are convicted.

The paper is an original contribution with new insights on the manner in which sentencing should be approached by the SCC.

The purpose of this paper is to scrutinise the effectiveness of four derivative exchanges’ enforcement efforts since 2007. These exchanges include the Commodity Exchange Inc. and ICE Futures US from the United States and ICE Futures Europe and the London Metal Exchange from the UK.

The paper examines 799 enforcement notices published by four exchanges through a behavioural science lens: HUMANS conceived by Hunt (2023) in Humanizing Rules: Bringing Behavioural Science to Ethics and Compliance.

The paper finds the effectiveness of the exchanges’ enforcement efforts to be a mixed picture as financial markets transition from the digital to artificial intelligence era. Humans remain a key cog in the wheel of market participants’ trading operations, albeit their roles have changed. Despite this, some elements of exchanges’ enforcement regimes have not kept pace with the move from floor to remote trading. However, in other respects, their efforts are or should be, effective, at least in behavioural terms.

The paper’s findings are arguably limited to exchanges based in Anglophone jurisdictions. The information published by the exchanges is variable, making “like-for-like” comparisons difficult in some areas.

The paper makes several recommendations that, if adopted, could help exchanges to increase the potency of their enforcement programmes.

A key aim of the paper is to shift the lens through which the debate concerning the efficacy of exchange-level oversight is conducted. Hitherto, a legal lens has been used, whereas this paper uses a behavioural lens.

This study aims to construct a sentiment series generation method for danmu comments based on deep learning, and explore the features of sentiment series after clustering.

This study consisted of two main parts: danmu comment sentiment series generation and clustering. In the first part, the authors proposed a sentiment classification model based on BERT fine-tuning to quantify danmu comment sentiment polarity. To smooth the sentiment series, they used methods, such as comprehensive weights. In the second part, the shaped-based distance (SBD)-K-shape method was used to cluster the actual collected data.

The filtered sentiment series or curves of the microfilms on the Bilibili website could be divided into four major categories. There is an apparently stable time interval for the first three types of sentiment curves, while the fourth type of sentiment curve shows a clear trend of fluctuation in general. In addition, it was found that “disputed points” or “highlights” are likely to appear at the beginning and the climax of films, resulting in significant changes in the sentiment curves. The clustering results show a significant difference in user participation, with the second type prevailing over others.

Their sentiment classification model based on BERT fine-tuning outperformed the traditional sentiment lexicon method, which provides a reference for using deep learning as well as transfer learning for danmu comment sentiment analysis. The BERT fine-tuning–SBD-K-shape algorithm can weaken the effect of non-regular noise and temporal phase shift of danmu text.

Data protection requirements heavily increased due to the rising awareness of data security, legal requirements and technological developments. Today, NoSQL databases are increasingly used in security-critical domains. Current survey works on databases and data security only consider authorization and access control in a very general way and do not regard most of today’s sophisticated requirements. Accordingly, the purpose of this paper is to discuss authorization and access control for relational and NoSQL database models in detail with respect to requirements and current state of the art.

This paper follows a systematic literature review approach to study authorization and access control for different database models. Starting with a research on survey works on authorization and access control in databases, the study continues with the identification and definition of advanced authorization and access control requirements, which are generally applicable to any database model. This paper then discusses and compares current database models based on these requirements.

As no survey works consider requirements for authorization and access control in different database models so far, the authors define their requirements. Furthermore, the authors discuss the current state of the art for the relational, key-value, column-oriented, document-based and graph database models in comparison to the defined requirements.

This paper focuses on authorization and access control for various database models, not concrete products. This paper identifies today’s sophisticated – yet general – requirements from the literature and compares them with research results and access control features of current products for the relational and NoSQL database models.

The purpose of this paper is to explore the legislative framework that governs whistleblowing in the UAE.

The paper examines social perceptions and practical challenges related to the act of whistleblowing. It focuses on the effectiveness, limitations and implications of the current legal status of whistleblowing in the UAE.

The UAE does not have a unified legal framework that governs whistleblowing and whistleblower protections like in the case of the USA. Therefore, there is an urgent need for comprehensive federal regulations that will apply to all sectors across the entire UAE. Each emirate and economic zone can then model their whistleblowing regulations against the federal law to ensure consistency and uniformity in application. The UAE will also benefit from public awareness and education programs to address the conservative culture that discourages whistleblowing. Most importantly, corporate governance and culture are central to the success of existing laws considering the overreliance on organizations and employees.

The paper provides a robust and analytical discussion of the whistleblowing laws and regulations in the UAE to dissect current practices and implications for future practice.

The purpose of this study is to provide for critical literature on the legal aspects of corporate governance and their application in Mauritius. The drawbacks of having the principles in the form of a non-binding code are discussed, and a case is made to consider their enshrinement in laws such as the Companies Act 2001 to render them legally enforceable for the good health of companies in Mauritius.

A doctrinal legal methodology has been adopted to assess the effectiveness of the principles of the 2016 Code of Corporate Governance of Mauritius. Legislations, legal texts, case law and regulations are used to conduct this assessment. In addition, a black-letter approach is taken while discussing the enshrinement of the principles in the Companies Act 2001 of Mauritius. The doctrinal methodology is further supported by a qualitative analysis of the principles of corporate governance based on existing legal literature, which emphasises their relevance and importance.

The principles of the 2016 Code of Corporate Governance are no doubt a progress over the former 2004 Code in various aspects, aligning the Code with the requirements of the OECD. However, there are still certain loopholes that have been highlighted. In addition, the extent to which these principles are reflected in the Companies Act, which is the primary legislation for companies, has been found to be lacking and inadequate.

This paper is, to the best of the author’s knowledge, the first legal literature concerning the Mauritian legal framework on corporate governance. This is relevant because the country has recently experienced corporate collapses, which could arguably have been avoided with the application of the principles of corporate governance. As such, the paper will present a case study that can be used as a reference for future research on the enforceability and justiciability of these principles.

This paper aims to focus on the need for an enhanced anti-money laundering (AML) regulation for decentralised finance (DeFi) to protect the integrity of global financial systems against illicit activities. Research highlights the requirement for a robust regulatory strategy for the fast-paced DeFi evolvement.

This study used doctrinal legal research by analysing legislation, which involved creating use cases to illustrate different aspects of potential illicit activities via the DeFi ecosystem. Various DeFi applications were assessed for the potential regulatory responses and outcomes.

This paper offers valuable insight into the regulatory challenges presented by DeFi. This study addresses the blind spots leveraged by criminals afforded by the DeFi’s decentralised nature. This paper offers a comprehensive examination of DeFi regulatory challenges based on use-case scenarios and provides recommendations for regulators on how to address them effectively.

This paper proposes measures for regulatory authorities to minimise money laundering risks through new channels such as decentralised exchanges, non-custodial wallets and cross-chain bridges. This study concludes with the future directions for DeFi regulation and AML compliance.

This article aims at contributing to the literature using conjoint experiment methods for political economic problems. The author measures the stated willingness of young adults to start an enterprise in hypothetical realities described by different levels of six institutional factors pertaining to the business environment.

The author conducts the “forced-choice” conjoint experiment on a sample of 200 young Polish students. This analysis allows for the verification of the expectations concerning the differences in the respondents' stated preferences relating to the potential obstacles to their entrepreneurial inclinations. The author estimates the average marginal component effects (AMCEs) and the marginal means (MMs).

Evidence is provided that the institutional factors are not similarly significant to the stated entrepreneurial preferences of Polish young adults. Legal certainty and economic freedom are the attributes of the most notable effect on respondents' feelings about perceived entrepreneurial barriers; however, the results vary across the subgroups.

The study results provide a tentative perspective on the Polish young adults' feelings about institutions as a potential obstacle to their entrepreneurial inclinations. The employment of conjoint methodology lays the groundwork for scholars studying the entrepreneurial environment, legal institutions and current public mood of different social groups.

This study is a unique attempt to answer political economic questions concerning entrepreneurial institutions in Poland through the implementation of a comprehensive market research method. In addition, the author indicates a specific set of six institutional factors as well as define a distinct group of young adults.