Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 13 Issue 7
Design and Implementation of Technology-Assisted Review of Legal Documents With Deep Learning
Nnaemeka .C Onyemelukwe, Ogochukwu C Okeke
10.7753/IJCATR1307.1004
keywords : Machine Learning, AILA, Hybrid Model and Legal Document
The research emphasizes the unexplored domain of utilizing artificial intelligence (AI) within the realm of Nigerian law. This is evident through the limited exploration and comprehensibility of AI's influence on legal procedures in the country. Consequently, there is a research gap regarding the effective integration of AI and machine learning (ML)-based systems, such as AILA, into Nigerian legal practices. This integration is crucial for fostering fairness, accountability, improved dynamic contract interpretation, and the appropriate proper integration of standards in digital modalities, which is lacking in the current system. The researcher designed two complementary approaches for legal document retrieval by introducing a Hybrid Model that incorporates semantic as well as implied word-order information
@artical{n1372024ijcatr13071004,
Title = "Design and Implementation of Technology-Assisted Review of Legal Documents With Deep Learning",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "13",
Issue ="7",
Pages ="30 - 34",
Year = "2024",
Authors ="Nnaemeka .C Onyemelukwe, Ogochukwu C Okeke"}
.