This project is using RAG (Retrieval-Augmented Generation) to retrieve relevant legal data from stored database and then generate the response based on that data, which helps in giving more accurate and meaningful answers instead of general responses.
This project is using RAG (Retrieval- Augmented Generation) to retrieve relevant legal data from stored database and then generate the response based on that data and this helps in giving more accurate and meaningful answers instead of general responses.
Tadiparti.Venu, Pakki Bhargava Shanmukha Sai, Lotheti Pravalika et al.· International Journal of Tec...· 0 citations
This study provides an AI- Based document analyzer with a question-answer system that makes use of Natural Language Processing approaches that is affordable, scalable, and suitable for business, education, and research.
Radhika Sharma, Devraj Gautam· Revolutionary Advances in Co...· 0 citations
Based on the proposed architecture and the selected semantic retrieval and language models, an AI legal assistant was developed and integrated into the “Adal Azamat” legal services platform providing users in Kazakhstan with practical access to AI-assisted legal consultation.
N. Mukazhanov, Z. Alibiyeva, A. Akhmediyarova et al.· Computers· 0 citations
Under the study’s evaluation protocol, some AI-generated responses received higher ratings than the available reference answers, particularly when they contained accurate and relevant supporting detail, should not be interpreted as evidence that the models generally outperform qualified legal professionals.
S. Nigam, Shubham Kumar Mishra, Noel Shallum et al.· Artificial Intelligence and...· 1 citation
Legal decisions on asylum applications consist of long, complex, and heterogeneous documents, covering narrative applicant interviews, original decisions, and additional supporting materials. If an application is rejected, a critical question in processing an appeal is whether the credibility of the information in the...
M. Vlachou, Anna Murphy Høgenhaug, Mohammad N. S. Jahromi et al.· 0 citations
The design realization and evaluation of an Automated Summarization Tool (AST) is presented which is a document intelligence platform based on google gemini 2.5 flash that outperforms the strongest fine-tuned transformer baselines (PEGASUS, BART) by ~14 points and is clearly ahead of BERTSUM-ext (a strong transformer b...
K. Kumar, A. Amandeep, Dharmender Kumar et al.· International Journal of Inn...· 0 citations
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