You will get a production-ready AI contract review platform with risk scoring
Project details
Need a custom AI-powered contract analysis platform? I will build and deploy a production-ready web application that reviews contracts, identifies risks, and generates structured reports in plain English.
Unlike generic AI chatbots, this solution uses a structured LangChain RAG pipeline to analyze contracts through multiple stages, including metadata extraction, risk clause detection, missing clause checks, plain-English summaries, and risk scoring. The result is a consistent, actionable report that helps users understand contracts before signing.
The application supports PDF, DOCX, TXT uploads, and direct text input. It is built with Python, Flask, LangChain, Hugging Face embeddings, FAISS vector search, and Llama-based LLMs. The system is Dockerized, deployment-ready, and can be hosted on Render, Railway, AWS, DigitalOcean, or your preferred platform.
Whether you're building a LegalTech MVP, client-facing contract review tool, procurement workflow, or internal document analysis system, you'll receive clean code, deployment support, documentation, and a scalable architecture designed for real-world use.
Unlike generic AI chatbots, this solution uses a structured LangChain RAG pipeline to analyze contracts through multiple stages, including metadata extraction, risk clause detection, missing clause checks, plain-English summaries, and risk scoring. The result is a consistent, actionable report that helps users understand contracts before signing.
The application supports PDF, DOCX, TXT uploads, and direct text input. It is built with Python, Flask, LangChain, Hugging Face embeddings, FAISS vector search, and Llama-based LLMs. The system is Dockerized, deployment-ready, and can be hosted on Render, Railway, AWS, DigitalOcean, or your preferred platform.
Whether you're building a LegalTech MVP, client-facing contract review tool, procurement workflow, or internal document analysis system, you'll receive clean code, deployment support, documentation, and a scalable architecture designed for real-world use.
AI Algorithms
Large Language Model, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI-Enhanced Classification, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment AnalysisAI Development Language
PythonAI Tools
Hugging Face, PyTorchAI Models
ChatGPT, GPT-3, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$299
|
Standard
$549
|
Advanced
$999
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | |
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | |||
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | ||
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Custom Contract Type Configuration
(+ 1 Day)
+$99
REST API Integration
(+ 2 Days)
+$199
PDF Report Export
(+ 1 Day)
+$99Frequently asked questions
About Dhanraj
AI Automation Specialist | LLM Integration | RAG Pipelines | n8n
Mahesana, India - 6:11 pm local time
Most recently, I built a compliance audit platform at ISRO (India's space agency) that compressed a 4-day manual process into 4 hours — a 90% reduction in effort. The system handled 69+ security checks automatically using FastAPI, Celery, Redis, and React.
Here's what I can build for you:
— AI chatbots connected to your documents, database, or website (RAG)
— Automated workflows using n8n, LangChain, or custom Python
— LLM integrations (GPT-4, Gemini, Claude) into your existing product
— FastAPI backends for AI features
— Streamlit dashboards and AI tools
I work with: Python, FastAPI, LangChain, ChromaDB, FAISS, OpenAI API, Gemini API, Groq, Docker, PostgreSQL, React, Streamlit.
I'm a final-year B.Tech Computer Engineering graduate (AI/ML) with a 9.41 GPA, an ISRO research internship, and 25+ AI/ML projects on GitHub.
I don't just deliver code — I deliver working products. Tell me what you want to automate or build, and I'll make it happen.
Steps for completing your project
After purchasing the project, send requirements so Dhanraj can start the project.
Delivery time starts when Dhanraj receives requirements from you.
Dhanraj works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Review & Planning
Review your contract types, business requirements, branding assets, and any sample files to determine the best configuration for your application.
AI Analysis System Setup
Configure the LangChain RAG pipeline, risk scoring logic, clause detection prompts, and document processing workflow.