Overview

Our client, a renowned legal firm, aimed to build an MVP that could assist their in-house lawyers in quickly reviewing contracts by highlighting key clauses, detecting risky terms, and generating section-wise plain-English summaries. Bacancy’s LLM and AI developers leveraged advanced NLP models to deliver highly accurate clause extraction and risk detection within tight deadlines.

Technical Stack

  • Next.js
  • React.js
  • TailwindCSS
  • PostgreSQL
  • OpenAI API
  • LangChain
  • AWS S3
  • GitHub Actions

    • Industry

    LegalTech

  • region

    • Region

    United States

  • project-size

    • Project Size

    Non-Disclosable

Highlights

Built role-based access control for lawyers and admins

Integrated AI for clause extraction and risk detection

Designed minimalist, lawyer-friendly UI for better readability

Achieved 60% faster contract review in MVP testing

Challenges & Solutions

The client had to deal with lengthy contract PDFs where the formatting was often inconsistent, making it difficult to extract.

  • Solution: Our AI team introduced an AI-assisted parsing approach using PDF.js combined with text normalization, ensuring clean and structured inputs before feeding them into the LLM.

Identifying risk terms was a major issue, as simple keyword matching often missed critical clauses hidden in complex legal language.

  • Solution: To address this, our LLM developers built custom prompt templates and applied semantic search, enabling the system to detect clauses with higher accuracy.

The client needed an MVP delivered quickly but without sacrificing long-term scalability for future features.

  • Solution: As an experienced LLM development company modular microservice architecture that allowed a phased rollout of features, reducing development time while keeping the system scalable.

Lawyers found the existing UI too cluttered, which slowed down adoption and made it harder to focus on key clauses.

  • Solution: We created a clean, minimalist interface with clause-highlighting and collapsible summaries, improving usability and making the tool easier to adopt.

Core Features

  • PDF contract upload and parsing
  • Clause extraction & categorization
  • Risk term flagging with AI
  • Section-wise and full-document summaries
  • Role-based dashboards for different user types
  • no.-of-resources

    • No. of Developers

    03

  • time-frame

    • Time Frame

    January 2025- June 2025

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