Project overview

• Design and implementation of an AI-powered LegalTech application that extracts key information from legal documents (contracts, clauses, agreements) and automates generation of customizable legal drafts.
• The system combines OCR, NLP and LLM reasoning to help lawyers, startups, and SMEs review, summarize, and produce compliant legal documents faster and with fewer errors.

Scope & responsibilities

• Implement OCR & parsing workflows for scanned legal PDFs and build robust document ingestion pipelines.
• Develop automatic extraction of entities (names, roles, dates, amounts, obligations) and pipeline components for AI-powered contract and summary generation.
• Build a legal conversational assistant leveraging RAG (retrieval-augmented generation) and a knowledge base to support lawyer queries and document exploration.
• Create a web interface tailored to lawyers, startups & SMEs and integrate backend, database, and deployment components for production readiness.

Technologies & tools

• AI / NLP: Python, LangChain, OpenAI / Ollama, spaCy, Sentence Transformers for embedding, retrieval and LLM orchestration.
• OCR: PDFPlumber, Tesseract OCR for scanned PDF parsing and structured text extraction.
• Backend & frontend: FastAPI / Django REST for APIs; Next.js / React for the user interface.
• Database & deployment: PostgreSQL / MongoDB for storage; Docker with Vercel / Render for deployment.

Required profile

• Position: Full-Stack Developer with interest/experience in AI, NLP and LegalTech product development.
• Expected skills: practical experience with Python-based NLP stacks, familiarity with OCR tooling, frontend development (React/Next.js), building REST APIs and working with SQL/NoSQL databases; ability to integrate LLMs and retrieval pipelines.
• Soft skills: ability to collaborate with legal domain experts, translate legal requirements into technical specifications, and document implementation details.

How to apply

• To apply, send your application to contact@readdlytech.com with the subject line: "Application - REF: Readdly-2026-131 Trainee Intelligent legal document assistant PFE".
• You may also apply via the company website: https://www.readdlytech.com.
• Include CV, brief description of relevant projects (NLP/OCR/Full-Stack), and links to code or demos if available.