In high-energy physics, ensuring that analyses remain reproducible and interpretable over time is a significant challenge. As the Large Hadron Collider (LHC) produces vast datasets and as analyses evolve, reproducibility becomes crucial for both current and future research efforts. Rivet (Robust Independent Validation of Experiment and Theory) addresses this challenge by providing a framework for the preservation and reinterpretation of LHC analyses. This talk will discuss how Rivet facilitates analysis preservation, enabling researchers to reproduce, validate, and reuse complex particle collision studies long after initial publication. We’ll explore specific use cases, including how Rivet supports reinterpretation for new physics searches, and the technical underpinnings that make Rivet an indispensable tool for long-term data analysis preservation. This presentation will emphasise Rivet’s role within the broader landscape of open science and data preservation, with insights into its integration with other high-energy physics frameworks. Attendees will gain a clear understanding of Rivet’s contributions to sustainable research practices and reproducibility within the scientific community.