Legal Tech
AI & Data Engineering
AI Document Intelligence Platform
An AI-powered platform for legal professionals to analyze, scan, and query complex documents efficiently
CLIENT
DURATION
TEAM SIZE
Project Overview
The Review Web App was designed to simplify how professionals handle large volumes of documents. Instead of manually reviewing files, users can upload documents and interact with them using AI.
The system extracts insights and provides structured responses instantly. It saves time and transforms complex data into actionable insights.
Built specifically for legal professionals, the platform handles various document formats and provides intelligent search, extraction, and analysis capabilities.
Quick Facts
11 Months
15 People
Legal Tech
The Challenge
Manual Review Time
Time-consuming manual document review slowing professional workflows
Insight Extraction
Difficulty extracting structured insights from large files and documents
Inefficient Search
Inefficient search across documents and inability to find key information
Analysis Dependency
High dependency on human analysis for document intelligence
AI Document Processing Engine
Built a system that scans, understands, and extracts key insights from documents.
- Document upload and parsing
- AI-powered content analysis
- Structured data extraction
- Multi-format file support
Natural Language Query System
Users can query documents in plain language and get instant answers.
- Natural language query system
- Search and filtering system
- Secure document handling
- Insight generation dashboard
Technologies Used
Python
TensorFlow
OpenAI GPT
React
Node.js
PostgreSQL
Elasticsearch
AWS
Results & Impact
80%
Time Savings
95%
Accuracy Rate
10x
Faster Document Review
500+
Daily Documents Processed
4.9/5
User Satisfaction
90%
Extraction Accuracy
This platform has completely transformed how we handle document review. What used to take days now takes hours. The AI accuracy is impressive and has become essential to our workflow.
Managing Partner / Legal Tech Solutions
Project Visuals
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