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AI Legal Assistant Platform

Vakeel Saab Legal Intelligence Platform

Vakeel Saab

Built an AI-powered legal assistant using RAG over case laws, statutes, and legal documents — delivering semantic search, contextual guidance, and a conversational Streamlit interface on AWS with an 80% reduction in manual legal research time.

80%

Legal Research Time Reduction

RAG PipelineAI AgentsLegal Tech

Challenge

Legal professionals spent significant time searching through case laws, legal documents, and statutes manually, making legal research slow and limiting access to quick, reliable legal guidance.

Solution

Built an AI-powered legal assistant using a Retrieval-Augmented Generation (RAG) architecture with Llama 2, LangChain, and VectorDB. Implemented intelligent document retrieval, contextual response generation, and semantic search capabilities through a user-friendly Streamlit interface. Deployed the platform on AWS infrastructure for scalable and secure access.

Scope

  • RAG-powered legal knowledge retrieval
  • LLM-based contextual legal assistance
  • Vector database semantic search
  • AWS cloud deployment and hosting
  • Streamlit-based conversational interface
  • Legal document indexing and management

Technology stack used

Next.js
React
Angular
Vue.js
TypeScript
Tailwind CSS
NestJS
Node.js
Python
Laravel
.NET
React Native
Swift
Kotlin
Flutter
Firebase
PostgreSQL
Prisma
AWS
Docker
Kubernetes
Terraform
LangGraph
RAG
n8n
Figma
Adobe XD
Shopify
Stripe
WordPress
BWA
GATK
scRNA-Seq
Snakemake

Services applied

AI Automation Services

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