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AI-Powered Contract Review and Chatbot for Consulting Firm

Services Covered:

AI and Machine Learning • Large Language Model (LLM) Development • Chatbot Development
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Industry
Industry

Real Estate

Duration
Durationinfo-circle

3 months

Budget
Budget

Less than 10K

Start Date
Start Date

1 March 2025

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
80/100
Strong

Project Capability Score (PCS) estimates how capable Steves AI Lab is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

map United States of America

Project Summary

Steves AI Lab Pvt Ltd built an AI system for a business consulting firm to review, explain, and compare contracts and compliance documents and implemented a chatbot for real-time communication. The solution integrated with SharePoint and Google Drive, processed over 10,000 legal documents using OCR and metadata extraction, and used embeddings plus LLM/RAG techniques to provide fast, context-aware summaries and clause comparisons. The system achieved over 90% accuracy in retrieving similar clauses and was widely adopted by legal teams while maintaining GDPR and HIPAA compliance.

Key Challenges

  • Build an AI system to review, explain, and compare contracts and compliance documents.
  • Create a chatbot for real-time communication and tracking.

Project Deliverables

  • AI-powered document review and comparison platform
  • Chatbot for real-time communication and tracking
  • Integrations with SharePoint and Google Drive via OAuth2.0 and RBAC
  • OCR and metadata extraction pipeline
  • Embeddings and semantic search using FAISS or Pinecone
  • LLM- and RAG-based summarization and clause comparison
  • Web dashboard and AdminPanel for uploads, annotations, and access management
  • Security features including zeroTrust, audit logging, and end-to-end encryption

Project Solution

Steves AI Lab developed a secure AI-powered platform to review, compare, and summarize legal and compliance documents using the ModelContextProtocol (MCP). They implemented OCR and metadata extraction, stored embeddings for semantic search (FAISS/Pinecone), and used LLMs with RAG to generate context-aware summaries, risk flags, and clause comparisons. The team integrated the system with enterprise storage (SharePoint, Google Drive) via OAuth2.0 and RBAC, delivered a web dashboard and admin panel, and enforced security controls including zero trust, audit logging, end-to-end encryption, and GDPR/HIPAA compliance.

Project Outcome

  • Processed over 10,000 legal documents with accurate metadata extraction and OCR.
  • Achieved over 90% accuracy in retrieving similar clauses for clause comparison.
  • Successfully integrated with SharePoint and Google Drive for secure real-time access.
  • High adoption by legal teams and compliant operations via robust audit logging and data security.
  • Delivered on schedule with responsive, flexible project management.

Platforms

  • CloudCloud
  • WebWeb

Tech Stack

  • Microsoft SharepointMicrosoft Sharepoint

Client Endorsement

Overall Review Rating

4.63star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The solution successfully handled more than 10,000 legal documents, including reliable OCR and metadata extraction. It also demonstrated over 90% accuracy in finding related clauses across documents. The client appreciated the team’s responsiveness, adaptability, and collaborative approach, along with their strong technical capabilities.”

Chad R.

Assitant Director

Note: This endorsement is based on publicly available client feedback from external review sources.

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