AI paper index
From Legal Databases to AI-Assisted Justice: A Risk-Sensitive Framework for the Application of Information Technologies in Law
One-line summary
An AI research paper on From Legal Databases to AI-Assisted Justice: A Risk-Sensitive Framework for the Application of Information Technologies in Law.
Engineering notes
Engineering notes will be added by the aipentium editorial team.
Chinese explanation / 中文解读
中文解读待补充:本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。
Original abstract
This paper analyzes information technologies in law and proposes a risk-sensitive framework for responsible digital legal practice. Using EU regulatory developments as the main legal lens, while also referring to international standards and policy materials, the study reviews legal databases, case-management systems, artificial intelligence and natural language processing, electronic identification and signatures, digital evidence, online dispute resolution and electronic courts. The paper's contribution is to connect general principles of transparency, human oversight, source verification and accountability to concrete stages of legal work: intake, research, drafting, identity assurance, signing, archiving and audit. Brief examples of AI-assisted drafting, online dispute resolution and electronic signature verification illustrate the practical use of the framework. The analysis concludes that digital legal systems create value when they remain traceable, proportionate and subject to professional responsibility rather than replacing legal judgment.
Links and sources
Need this topic turned into a technical roadmap?
aipentium can prepare a custom AI literature review, code map, dataset map, and B2B technology assessment.
Request B2B AI research
Comments