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Articles 1 - 3 of 3
Full-Text Articles in Law
Ks Pop Celebrating Three Years Of Tech-Driven Justice For All, Ayyoub Ajmi
Ks Pop Celebrating Three Years Of Tech-Driven Justice For All, Ayyoub Ajmi
Faculty Works
This article explores the development and impact of the Kansas Protection Order Portal (KS POP), highlighting the vital role of law librarians in the portal's design and implementation. The article showcases how KS POP has streamlined the legal process for domestic violence, sexual assault, and human trafficking victims in Kansas, marking a significant advancement in accessible legal support and serving as a model for future innovations in the justice system.
Revolutionizing Access To Justice: The Role Of Ai-Powered Chatbots And Retrieval-Augmented Generation In Legal Self-Help, Ayyoub Ajmi
Faculty Works
Advancements in artificial intelligence (AI) present numerous opportunities to routinize and make the law more accessible to self-represented litigants, notably through AI chatbots employing natural language processing for conversational interactions. These chatbots exhibit legal reasoning abilities without explicit training on legal-specific datasets. However, they face challenges processing less common and more specific knowledge from their training data. Additionally, once trained, their static status makes them susceptible to knowledge obsolescence over time. This article explores the application of retrieval-augmented generation (RAG) to enhance chatbot accuracy, drawing insights from a real-world implementation developed for a court system to support self-help litigants.
Generative Ai Large Language Models And Researching The Law, Paul D. Callister
Generative Ai Large Language Models And Researching The Law, Paul D. Callister
Faculty Works
The article discusses the transformative impact of generative AI large language models (LLMs) on legal research. Callister explores how these AI models, despite their current imperfections, are poised to shift the cognitive (or trusted) authority within the legal profession. He attributes this shift to the ease with which AI processes vast amounts of legal information and the anthropomorphic design of LLMs, which fosters trust among users. Callister introduces the concept of Retrieval-Augmented Generation (RAG), explaining how AI platforms integrate legal texts into their responses, enhancing their reliability over purely generative models. Through various examples, he demonstrates the strengths and limitations …