Case Study: AI-Powered LegalTech
Document Intelligence Platform

LegalTech Document Intelligence Platform is an AI-powered system for analyzing legal documents, extracting insights, and supporting case preparation. Django Stars built a scalable solution using LLMs to automate document processing and improve legal workflows.
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legaltech
Team
6 team members
Type
AI-powered Document Intelligence Platform
Industry
LegalTech
Platforms
Web

About the Project

  • We worked on a legal document intelligence platform for a U.S.-based litigation firm (under NDA), focusing on handling large sets of legal documents in a more practical way.
  • The legal document automation solution lets lawyers search, review, summarize, and pull out clauses without going through files line by line.
  • The client wanted to move away from keyword search and manual review toward a system that can interpret legal context while keeping data secure.
  • The goal was to reduce time spent on document review, make clause search more precise, and keep the system flexible enough for ongoing legal work.
About the Project

Challenges

Challenges
  • Existing systems relied on keyword search, missing legal nuance.
  • Documents arrived in different formats with inconsistent structure.
  • No unified governance system for audit trails, version control, and compliance tracking
  • Strict confidentiality requirements limited the use of third-party AI tools

Technologies we use

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We Delivered

01 Set up a full-cycle pipeline for ingesting documents, forming the base for AI-powered legal document analysis.

02 Built a hybrid search approach combining keyword and vector search to improve how relevant results are found.

03 Put together an orchestration layer to support AI-driven document review automation, including summarization and context-aware responses.

04 Configured secure cloud infrastructure with encryption in use to keep data protected.

05 Added logging, audit trails, and PII redaction to get compliance-ready AI systems and meet requirements.

Results of the Collaboration

Cut document review time from about 16 hours to under 4 hours per case as part of legal AI software development and AI infrastructure for law firms.

Improved clause retrieval accuracy from 62% to 91% by using an LLM orchestration framework.

Made compliance more transparent with clear traceability and secure AI usage across workflows.

Expanded the platform from basic review to include drafting support and analytics.

Set up a scalable foundation that supports ongoing AI-driven improvements in legal workflows.

Django Stars provides AI software development solutions with LLM integration for law firms, helping automate document workflows, reduce manual effort, and improve accuracy. We address scalability, security, and compliance challenges so legal teams can work faster and with confidence.

Testimonials

Django Stars successfully delivered the project on time and within budget. The team excelled at project management despite the time difference. They communicated well and were accommodating of scope changes throughout. They were flexible, supportive, and professional.

5.0
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