In recent years, the utilization of large language models for natural language dialogue has gained momentum, leading to their widespread adoption across various domains. However, their universal competence in addressing challenges specific to specialized fields such as law remains a subject of scrutiny. The incorporation of legal ethics into the model has been overlooked by researchers. We asserts that rigorous ethic evaluation is essential to ensure the effective integration of large language models in legal domains, emphasizing the need to assess domain-specific proficiency and domain-specific ethic. To address this, we propose a novelty evaluation methodology, utilizing authentic legal cases to evaluate the fundamental language abilities, specialized legal knowledge and legal robustness of large language models (LLMs). The findings from our comprehensive evaluation contribute significantly to the academic discourse surrounding the suitability and performance of large language models in legal domains.

Seven members of a gang which used drones to fly more than £500,000 worth of drugs into prisons have been jailed. The gang was responsible for 55 drone deliveries into prisons around the country between April 2016 and June 2017. Police described the drone conspiracy as the "biggest ever seen" in the UK. The men were sentenced for between three and 10 years and six other gang members were given suspended sentences at Birmingham Crown Court earlier. The gang flew an estimated £550,000 worth of drugs - mainly cannabis and synthetic cannabis - along with amphetamines, crack cocaine and heroin to inmates' windows, West Midlands Police said.

In this paper, we give an overview of the Legal Judgment Prediction (LJP) competition at Chinese AI and Law challenge (CAIL2018). This competition focuses on LJP which aims to predict the judgment results according to the given facts. Specifically, in CAIL2018 , we proposed three subtasks of LJP for the contestants, i.e., predicting relevant law articles, charges and prison terms given the fact descriptions. CAIL2018 has attracted several hundreds participants (601 teams, 1, 144 contestants from 269 organizations). In this paper, we provide a detailed overview of the task definition, related works, outstanding methods and competition results in CAIL2018.

Immigration officials have deported Jose Vega-Zuniga four times, but he's always returned, and usually landed behind bars. But a recent DUI arrest culminated in a federal conviction this summer that carried up to 20 years in prison. So, prosecutors allege, he left of his own accord. Days after a federal judge issued a warrant for his arrest, Vega-Zuniga, 38, crossed the border near San Diego, sitting in the front passenger seat as his wife drove her pickup into Mexico, prosecutors said. On Wednesday, nearly a month after the brazen escape, federal authorities arrested his wife, Elba Soto, at her Moreno Valley home, according to the U.S. attorney's office in Los Angeles.