Abstract:
In Bangladesh, getting legal help is very difficult because the legal system too
much complex and most people cannot afford legal advice. The situation is even
worse for people in rural areas, since professional legal services are almost never
available outside of the big cities. To solve this problem, we created a system
called AI Lawyer, which is powered by Artificial Intelligence (AI). The system
gives people free, simple and always available legal advice based on Bangladeshi
laws. We used Artificial Intelligence (AI) and Natural Language Processing
(NLP) so that the system can answer legal questions in Bangla, English and
Banglish. To build the dataset, we made a Python scraper that collected legal
texts from the official Bangladesh law portal. This data was cleaned, structured
and stored in JSON format so that the AI model could understand it properly.
To make the system faster and more affordable, we fine-tuned an LLaMA 3.1 8B
model using LoRA adapters and 4-bit quantization. For deployment, we used a
dual inference system. A locally fine-tuned model running on Ollama gives quick
answers, while the Gemini API is used as a backup to ensure continuous service
if the local model fails. The chatbot is available through a web-based interface
developed with Next.js, React, Node.js and PostgreSQL. We tested AI Lawyer
with real legal questions and found that it provides fast, accurate and easy-to-
understand answers. We also compared it with other systems like DoNotPay and
LawBot and found that our solution works much better for the Bangladeshi
context. User feedback confirmed that the chatbot is simple to use, dependable
and very useful. The AI Lawyer project reduces people’s dependency on
expensive lawyers, protects citizens from legal fraud and misinformation and
helps them understand their rights more clearly. It makes legal information
cheaper, more accessible and available in multiple languages. In the future, we
plan to expand the dataset, improve accuracy and add voice-based features so
that even more people, including those who cannot read or type easily, will be
able to use the system.
