Applied research · Legal technology · Seeking funding
AI-Powered Law Firm
An AI-assisted legal services platform for client intake, research, drafting, and case management — with licensed lawyer oversight and Bangla–English support.
- Legal AI
- NLP
- Seeking funding
An AI-assisted legal services platform for client intake, research, drafting, and case management — with licensed lawyer oversight and Bangla–English support.
How the platform works
- Step 1
Client intake
Secure digital intake captures concerns, documents, and case context in Bangla or English.
- Step 2
Legal research
NLP searches laws, precedents, and risks to prepare drafts and structured summaries.
- Step 3
Lawyer review
Licensed practitioners review outputs, represent clients, and approve final documents.
Bangladesh context
Bangladesh context
Public estimates suggest Bangladesh has a population of roughly 170 million people across 64 districts, with a large rural share and mixed Bangla–English legal practice. The national judiciary is often cited as carrying a multi-million-case backlog, while routine civil, land, family, and labour matters remain difficult to access for many households. The Legal Aid Services Act, 2000 and the National Legal Aid Services Organization (NLASO) provide the public legal-aid backbone, yet lawyer-to-population density remains low relative to demand for affordable, timely legal support.
Research objectives
- Build secure client intake and triage workflows that route matters to the appropriate legal service path.
- Automate legal research, precedent search, and document drafting with human-in-the-loop review.
- Support Bangla and English interfaces for broader access across Bangladesh.
- Embed auditability, confidentiality controls, and professional-ethics safeguards throughout the platform.
Methodology
- 01
Design a modular legal-AI architecture with separate intake, research, drafting, and case-management services.
- 02
Fine-tune or adapt NLP models for Bangladeshi legal terminology, bilingual queries, and common document types.
- 03
Pilot workflows with licensed practitioners on selected matter classes (intake, drafting support, deadline tracking).
- 04
Evaluate accuracy, turnaround time, cost reduction, and lawyer review burden through controlled pilots.
Expected outputs
- A secure digital platform prototype for AI-assisted legal services.
- Drafting and review tools for contracts, petitions, and case summaries.
- Bilingual client and practitioner interfaces.
- Evaluation reports from practitioner-supervised pilots.
Seeking funding
MIRAI Lab is seeking funding to develop and pilot this platform with licensed Bangladeshi legal practitioners. The goal is not a fully autonomous law firm, but a responsible AI-assisted service that reduces cost, improves efficiency, and expands access to reliable legal support.
Overview
This project proposes an AI-powered law firm designed to automate and improve major legal services, including client intake, legal research, document drafting, contract review, case analysis, compliance monitoring, appointment scheduling, billing, and case management. Clients communicate with an AI legal assistant through a secure digital platform, describe their legal concerns, upload relevant documents, and receive preliminary guidance before being connected with a qualified lawyer when necessary.
The platform uses natural language processing and machine learning to search laws and precedents, summarize case files, identify legal risks, prepare draft contracts and petitions, organize evidence, track deadlines, and recommend possible legal strategies. It supports multilingual services, including Bangla and English, to make legal assistance more accessible and affordable.
AI assists with routine and time-consuming work, while licensed lawyers review legal outputs, make professional judgments, represent clients, and approve final documents. Strong data encryption, access controls, audit logs, confidentiality protections, human oversight, and compliance with applicable legal and professional rules are built into the system.
Team
Project lead: MIRAI Lab
Publications and datasets
Research papers, models, and open datasets will be shared here as they are released.
Project updates
Milestones, fieldwork notes, and lab announcements will appear on our notices page.
View notices →