A Convergence of Expertise
Explore the parallel histories of international engineering standards and the artificial intelligence that now helps us master them.
The Evolution of FIDIC
From a small European federation to the global standard for engineering contracts, FIDIC's history is one of continuous adaptation and excellence.
FIDIC is Founded
1913The Fédération Internationale des Ingénieurs-Conseils (FIDIC) is founded in Ghent, Belgium, by three national associations of consulting engineers.

The First "Red Book"
1957Publication of the first edition of the Conditions of Contract for Works of Civil Engineering Construction, establishing a global standard.
The "New" Red & Yellow Books
1987Major revisions are released, including the 4th Edition of the Red Book and the 3rd Edition of the Yellow Book for Electrical and Mechanical Works.
The "Rainbow Suite" Revolution
1999FIDIC releases its groundbreaking first editions of the construction suite: Red, Yellow, Silver, and Green Books, tailored to different project delivery methods.

The Gold Book Arrives
2008The Gold Book is introduced for Design, Build and Operate (DBO) projects, expanding FIDIC's coverage to long-term operational commitments.
Second Edition of the Rainbow Suite
2017A major update to the 1999 suite is released, with increased emphasis on clarity, project management, and dispute avoidance.

Digital Transformation Era
TodayFIDIC embraces the digital age, focusing on Building Information Modeling (BIM), smart contracts, and the growing role of data in project management.
The Rise of AI in Contract Analysis
The journey from basic text processing to sophisticated, context-aware AI has revolutionized how we interact with complex legal and technical documents.
The Turing Test
1950Alan Turing proposes a test for machine intelligence, laying the philosophical groundwork for the entire field of Artificial Intelligence.
Early Contract Management Systems
1990sThe first digital Contract Lifecycle Management (CLM) systems emerge, focusing on repository and workflow automation, a precursor to AI analysis.
IBM Watson Wins Jeopardy!
2011A landmark moment showcasing the power of Natural Language Processing (NLP) to understand complex queries and retrieve information from a vast knowledge base.

The Transformer Architecture
2017Google Brain's "Attention Is All You Need" paper introduces the Transformer model, the foundational technology behind nearly all modern Large Language Models (LLMs).

AI-Powered Clause Analysis
2018Advanced AI tools begin to emerge that can automatically identify, classify, and extract specific clauses and risks from legal documents.
The Rise of Generative AI
2022The public release of models like ChatGPT brings generative AI into the mainstream, demonstrating incredible capabilities in text generation and reasoning.
The RAG Revolution for Contracts
PresentRetrieval-Augmented Generation (RAG) becomes the state-of-the-art for domain-specific AI, combining LLMs with curated knowledge bases like pmAGIai to provide accurate, trustworthy answers.
