video1.0<iframe src="https://www.loom.com/embed/162d1400ace34969aa2299de96c6564d" frameborder="0" width="1384" height="1038" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>10381384Loomhttps://www.loom.com10381384https://cdn.loom.com/sessions/thumbnails/162d1400ace34969aa2299de96c6564d-9a366725d3a53518.gif410.197This Loom demonstrates an AI-assisted legal document translation workflow designed to augment professional translators while preserving a human review step. It starts with a client portal that captures contact info, source and target languages, document type, and an upload, triggering an N8n pipeline for intake, secure storage, OCR, language and document-type detection, page count estimation, and summary with review flags. Before translation, the workflow applies deterministic PII masking and AI-based PII validation, then generates a draft translation, bilingual glossary, review document, and final PDF, updating a Google Sheets dashboard with job metadata and links to artifacts. The presenter also explains that processing runs asynchronously to avoid client waiting during longer OCR steps.