Managing contracts is traditionally a manual, error-prone, and legally tedious process. But from an engineering perspective, itโs a fascinating challenge: How do you build a system that is flexible enough for complex business logic, strict enough for legal compliance, and structured enough for AI to actually understand it?
Meet Ladnost , a scalable, AI-ready Contract Lifecycle Management (CLM) platform designed to automate the creation, approval, signing, and storage of contracts.
Hereโs a deep dive into the architecture and engineering decisions behind it.
๐ The Tech Stack
Frontend: Next.js (App Router), next-intl for centralized i18n, Tailwind CSS.
Backend: FastAPI (Python), PostgreSQL, SQLAlchemy.
Document Engine: Tiptap (headless WYSIWYG), markitdown for format conversion.
Infrastructure: Docker, Docker Compose, Nginx, pgAdmin.
๐ง 1. AI-First Architecture (Not Just a Buzzword)
Most CLMs treat documents as opaque blobs of text.โฆ