Legal eagle: A digital law assistant

People from marginalized backgrounds often struggle to receive legal services due to low resources, language barrier and limited accessibility. Also, finding a lawyer can be a challenging task for both businesses and individuals. Many encounter significant obstacles in locating a suitable attorney that meets their specific needs, often due to a lack of accessible information. Typically, hiring a lawyer and Notary services requires an in-person meeting, which can be both time-consuming and costly. This study proposes designing and developing a digital law assistant specifically for underprivileged communities. The main goal is to efficiently address consumer’s legal concerns, like traffic tickets and criminal allegations matter, by offering clear instructions and necessary steps. Legal Eagle is a web-based, AI-driven legal assistant designed to streamline access to legal services. The platform utilizes Natural Language Processing (NLP) and Term Frequency-Inverse Document Frequency (TF-IDF) to interpret complex legal terminology and offer user-specific guidance. Through these technologies, it can identify relevant legal protocols and enhance user decision-making by analyzing legal documents and predicting possible case outcomes. Moreover, it supports Chat bot by Gemini that understands intricate legal terminology and provides personalized guidance, incorporating applicable legal sections and processes. This advanced system improves decision-making by evaluating legal documents, forecasting case results, and categorizing records. The paper discusses ethical implications for Al, emphasizing its revolutionary role in providing quick and accessible legal support.

Authors

Publication Details

Journal
International Journal of Applied Research
Published
2025-01-01
DOI
https://doi.org/10.22271/allresearch.2025.v11.i5d.12570
Primary Topic
Artificial Intelligence in Law
Type
article
Field-Weighted Citation Impact
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article

Legal eagle: A digital law assistant

S. A. Sivasankari, Vineet Bhatt B, Durga Lal K. C., Umang Saini D
International Journal of Applied Research
Artificial Intelligence in Law
article

Legal eagle: A digital law assistant

S. A. Sivasankari, Vineet Bhatt B, Durga Lal K. C., Umang Saini D
article en

Abstract

People from marginalized backgrounds often struggle to receive legal services due to low resources, language barrier and limited accessibility. Also, finding a lawyer can be a challenging task for both businesses and individuals. Many encounter significant obstacles in locating a suitable attorney that meets their specific needs, often due to a lack of accessible information. Typically, hiring a lawyer and Notary services requires an in-person meeting, which can be both time-consuming and costly. This study proposes designing and developing a digital law assistant specifically for underprivileged communities. The main goal is to efficiently address consumer’s legal concerns, like traffic tickets and criminal allegations matter, by offering clear instructions and necessary steps. Legal Eagle is a web-based, AI-driven legal assistant designed to streamline access to legal services. The platform utilizes Natural Language Processing (NLP) and Term Frequency-Inverse Document Frequency (TF-IDF) to interpret complex legal terminology and offer user-specific guidance. Through these technologies, it can identify relevant legal protocols and enhance user decision-making by analyzing legal documents and predicting possible case outcomes. Moreover, it supports Chat bot by Gemini that understands intricate legal terminology and provides personalized guidance, incorporating applicable legal sections and processes. This advanced system improves decision-making by evaluating legal documents, forecasting case results, and categorizing records. The paper discusses ethical implications for Al, emphasizing its revolutionary role in providing quick and accessible legal support.

International Journal of Applied ResearchVol. 11(5)
Peace, Justice and strong institutions
Openalex Percentile: Top 88%
Artificial Intelligence in Law
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