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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.

We reviewed U.S. federal and state sexual harassment court cases involving a prior workplace romance between the plaintiff and alleged harasser. Results of our content analysis show that, unlike employees’ decisions, judges’ decisions can be predicted from legal but not ethically salient extralegal case features. Hence, when compared to prior research, our study reveals the following discrepancy: judges follow a traditional legal model, whereas employees follow an ethical model when making decisions about romance‐harassment cases. Our study also reveals that the mere presence (versus absence) of a prior romance reduces the likelihood of a plaintiff’s success in a harassment case. We discuss implications for management practice and research from the perspective of legal and ethical decision making.

This paper aims to explore the availability of new legal models for social enterprise development in Australia, asking the question: what does a distinctive focus on legal form add to the scholarly exploration of social enterprise? The paper has a dual purpose: firstly, to present a general empirical review of the fact, possible causes and implications of the absence of new legal models for social enterprise in Australia; and secondly, to make a polemical argument highlighting some of the advantages of developing a distinctive legal structure for social entrepreneurs in Australia.

The paper reconciles two contending accounts. One would stress the absence of new legal models (the “gap” analysis). The other would acknowledge the absence of new legal models, while stressing the relevance of existing legal models for pursuing social enterprise goals. Both accounts are descriptively true, but the tension between them relates in part to the level of analysis (legal-political, collective voluntary action or bottom-up individual actors) and, in part, to longstanding tensions in the conceptualisation of social enterprise.

The paper provides evidence of the rising salience of existing cooperative legal forms, rising diversity in the legal model choices of individual social enterprises and the emergence of two significant bottom-up developments in voluntary model rules. The legal-political bottleneck that remains is related to the constitutional structure of federal and state power, key macro-political policy trends in the late 1990s and the distinctive nature of the Australian “wage-earners” welfare state settlement.

The paper highlights that what may appear as a “gap” in the legal landscape of Australian social enterprise is more nuanced. Despite the striking absence of any distinct new legislated legal models, the overall situation is a complex landscape providing multiple threads for weaving together diverse forms of social enterprise. Although legal frameworks may not be as salient as governance design choices, they generate three important second-order effects: signalling, legitimation and professional networks. Taken together, these may support a case for the distinctive value of a specific hybrid legal model for social enterprise.

Earned value management (EVM)–based models for estimating project actual duration (AD) and cost at completion using various methods are continuously developed to improve the accuracy and actualization of predicted values. This study primarily aimed to examine natural gradient boosting (NGBoost-2020) with the classification and regression trees (CART) base model (base learner). To the best of the authors' knowledge, this concept has never been applied to EVM AD forecasting problem. Consequently, the authors compared this method to the single K-nearest neighbor (KNN) method, the ensemble method of extreme gradient boosting (XGBoost-2016) with the CART base model and the optimal equation of EVM, the earned schedule (ES) equation with the performance factor equal to 1 (ES1). The paper also sought to determine the extent to which the World Bank's two legal factors affect countries and how the two legal causes of delay (related to institutional flaws) influence AD prediction models.

In this paper, data from 30 construction projects of various building types in Iran, Pakistan, India, Turkey, Malaysia and Nigeria (due to the high number of delayed projects and the detrimental effects of these delays in these countries) were used to develop three models. The target variable of the models was a dimensionless output, the ratio of estimated duration to completion (ETC(t)) to planned duration (PD). Furthermore, 426 tracking periods were used to build the three models, with 353 samples and 23 projects in the training set, 73 patterns (17% of the total) and six projects (21% of the total) in the testing set. Furthermore, 17 dimensionless input variables were used, including ten variables based on the main variables and performance indices of EVM and several other variables detailed in the study. The three models were subsequently created using Python and several GitHub-hosted codes.

For the testing set of the optimal model (NGBoost), the better percentage mean (better%) of the prediction error (based on projects with a lower error percentage) of the NGBoost compared to two KNN and ES1 single models, as well as the total mean absolute percentage error (MAPE) and mean lags (MeLa) (indicating model stability) were 100, 83.33, 5.62 and 3.17%, respectively. Notably, the total MAPE and MeLa for the NGBoost model testing set, which had ten EVM-based input variables, were 6.74 and 5.20%, respectively. The ensemble artificial intelligence (AI) models exhibited a much lower MAPE than ES1. Additionally, ES1 was less stable in prediction than NGBoost. The possibility of excessive and unusual MAPE and MeLa values occurred only in the two single models. However, on some data sets, ES1 outperformed AI models. NGBoost also outperformed other models, especially single models for most developing countries, and was more accurate than previously presented optimized models. In addition, sensitivity analysis was conducted on the NGBoost predicted outputs of 30 projects using the SHapley Additive exPlanations (SHAP) method. All variables demonstrated an effect on ETC(t)/PD. The results revealed that the most influential input variables in order of importance were actual time (AT) to PD, regulatory quality (RQ), earned duration (ED) to PD, schedule cost index (SCI), planned complete percentage, rule of law (RL), actual complete percentage (ACP) and ETC(t) of the ES optimal equation to PD. The probabilistic hybrid model was selected based on the outputs predicted by the NGBoost and XGBoost models and the MAPE values from three AI models. The 95% prediction interval of the NGBoost–XGBoost model revealed that 96.10 and 98.60% of the actual output values of the testing and training sets are within this interval, respectively.

Due to the use of projects performed in different countries, it was not possible to distribute the questionnaire to the managers and stakeholders of 30 projects in six developing countries. Due to the low number of EVM-based projects in various references, it was unfeasible to utilize other types of projects. Future prospects include evaluating the accuracy and stability of NGBoost for timely and non-fluctuating projects (mostly in developed countries), considering a greater number of legal/institutional variables as input, using legal/institutional/internal/inflation inputs for complex projects with extremely high uncertainty (such as bridge and road construction) and integrating these inputs and NGBoost with new technologies (such as blockchain, radio frequency identification (RFID) systems, building information modeling (BIM) and Internet of things (IoT)).

The legal/intuitive recommendations made to governments are strict control of prices, adequate supervision, removal of additional rules, removal of unfair regulations, clarification of the future trend of a law change, strict monitoring of property rights, simplification of the processes for obtaining permits and elimination of unnecessary changes particularly in developing countries and at the onset of irregular projects with limited information and numerous uncertainties. Furthermore, the managers and stakeholders of this group of projects were informed of the significance of seven construction variables (institutional/legal external risks, internal factors and inflation) at an early stage, using time series (dynamic) models to predict AD, accurate calculation of progress percentage variables, the effectiveness of building type in non-residential projects, regular updating inflation during implementation, effectiveness of employer type in the early stage of public projects in addition to the late stage of private projects, and allocating reserve duration (buffer) in order to respond to institutional/legal risks.

Ensemble methods were optimized in 70% of references. To the authors' knowledge, NGBoost from the set of ensemble methods was not used to estimate construction project duration and delays. NGBoost is an effective method for considering uncertainties in irregular projects and is often implemented in developing countries. Furthermore, AD estimation models do fail to incorporate RQ and RL from the World Bank's worldwide governance indicators (WGI) as risk-based inputs. In addition, the various WGI, EVM and inflation variables are not combined with substantial degrees of delay institutional risks as inputs. Consequently, due to the existence of critical and complex risks in different countries, it is vital to consider legal and institutional factors. This is especially recommended if an in-depth, accurate and reality-based method like SHAP is used for analysis.

Remuneration policies may differ from country to country, and their effect on bank stability could be due to the legal framework. Therefore, this study aims to investigate how the legal system impacts the relationship between CEO compensation and bank stability across countries.

To test the study hypotheses, the authors use panel data of 74 banks operating in ten OECD countries during the period 2009–2016 and apply the generalized moments method regression model to better remediate the endogeneity problem.

The findings confirm that a country’s banking regulations significantly affect its bank stability. Common law countries have less bank stability than civil law countries. This result can be interpreted by the fact that, in common-law countries, banks’ CEO are strongly protected by the law, so they allocate a large part of bank assets to risky loans to improve their variable remuneration.

The research can help policymakers understand bank stability in one country. Any legal reform would require prior knowledge of how risk-taking may arise in executive compensation.

The contribution is to explain the controversial effect of executive compensation on bank stability in the framework of legal theory. The authors argue that regulators should monitor compensation structures and that the country’s legal origin of law shapes the CEO compensation structure and is a determinant of bank stability. To the best of the authors’ knowledge, there are no studies exploring this field. So, this study tries to shed more light on the dark side of CEOs’ behavior when undertaking risky projects to maximize their remuneration.

Presents an updated version of a paper given by the author at an international conference in Athens 2000. Briefly outlines the development of the internet and e‐commerce and the effect of globalization. Considers the potential for the EU to standardize rules and advance its economic integration agenda. Looks at present EU laws in this area. Covers the unicitral model law on electronic commerce, its merits and its problems. Discusses personal jurisdiction under traditional rules and cyberspace transactions. Concludes that existing legislation must be re‐evaluated in the light of technological advances, the need for a more mobile kind of legal person and the worldwide nature of transactions across territorial boundaries, paperless contracts and digital signatures and the use of self‐regulation are also covered.

This paper makes the case for, and describes an effort to develop and promote the use of, model law to address HIV/AIDS in prisons. First, it outlines the concept of model law and what model law can bring to advocacy around law reform. Second, it describes why model law is particularly important to safeguard the rights of prisoners and people who use drugs. Third, it relates the methodology involved in developing model law. Three important areas of prison law and regulation related to HIV/AIDS are then described: provisions on the likelihood and duration of incarceration, including periods in pretrial detention; the legal foundation for HIV/AIDS care in prison; and the legal framework for comprehensive harm reduction services in prisons. A legislative framework to address rape and sexual violence in prison is also outlined. The paper sets out broad principles of how prison laws and regulations should be reformed to accord with human rights principles, and provides a number of examples of the specific wording of certain provisions.

The purpose of this paper is to analyse the Agency Theory in order to understand the true nature of the corporation by determining the respective roles of shareholders and directors/managers within a corporation.

The paper compares the economists' depiction of the firm with the legal conception of the corporation. It then analyses the legal concept of ownership and proves that the shareholders are the owners of their shares only and not of the corporation which is a separate legal person. The theories of corporation and relevant case law are also analysed.

The analysis reveals that currently there are two distinct models of the corporation. The economists view a firm in terms of a nexus of contracts like a partnership where shareholders are the owners of the firm and the directors/managers are their agents. The law, on the other hand, regards the corporation as a separate legal entity with rights and liabilities of a natural person that is not subject to ownership. This doctrine of legal personality is the grund norm of corporate law from which other principles like limited liability, perpetual succession, transferability of shares and independent board are derived. However, both economic and legal models converge upon the purpose of corporation i.e. maximization of shareholders value.

The paper highlights the distinction between economic and legal models of the firm. It points out that from a legal perspective, neither the shareholders are the principals nor the managers are their agents as proposed by the Agency Theory. The economists assume conflict of interests between the shareholders and directors and devise mechanisms to reduce agency costs. Law, on the other hand, determines manifestly the rights and liabilities of each participant in corporate structure. The directors owe their duties to the corporation and manage it without interference from the shareholders. Such arrangement is a product of historical process and qualifies a corporation as a sui generis form of business organization.

While public support for and cooperation with the police has been deemed vital for police effectiveness, what shapes such support and cooperation has not been fully examined. The purpose of this study is to explore three perspectives on public cooperation with police simultaneously: (1) police legitimacy, (2) legal cynicism, and (3) neighborhood norms.

The data used in this study came from a survey conducted with 408 residents across three neighborhoods in Detroit, Michigan, in 2009. Ordinary least squares (OLS) regression was used to assess the relationship between the three groups of theory-based predictors, representing police legitimacy, legal cynicism, and neighborhood norms, and the dependent variable of cooperation.

The findings partially support the legitimacy model, as trust in police, but not perceived obligation to obey, predicts cooperation with police. This study provides strong support for the legal cynicism and neighborhood norms perspectives. Specifically, residents who have higher levels of legal cynicism and who report a stronger anti-snitch neighborhood subculture report being less inclined to cooperate with the police.

This study is the first to compare the relative influences of three major perspectives on public cooperation. Future studies should continue to analyze competing theories in explaining public cooperation with the police and determine if findings from this study are applicable to locations outside Detroit.

Given the pivotal influence of institutional forces, an important yet underexplored question in supply chain management literature is how contractual and relational governance jointly affect supplier performance under weak legislative environments. This study tends to solve the debate by distinguishing contractual definability from contractual enforceability and by considering the contingent role of legal development in China.

Using a combined dataset of secondary data and a survey of 224 buyer–supplier dyads in China, this study examines how contractual definability and contractual enforceability interact with relational governance differently in driving supplier performance, and assesses the contingent role of legal development.

This study finds that contractual definability complements yet contractual enforceability substitutes relational governance in affecting supplier performance. Moreover, legal development weakens the complementary effect but strengthens the substitutive effect.

The study firstly enriches supply chain management literature by classifying the roles of contracts into contractual definability and contractual enforceability and showing their differential interplay with relational governance. Second, the study contributes to the complements–substitutes debate by revealing the shifting role of legal development. Third, the research enriches the understanding of supply chain management in the Chinese market.