Meta-omics approaches, integrating genomics, transcriptomics, proteomics, and metabolomics, have revolutionized legume research by providing a complete understanding of their complex biological systems. These approaches enable the identification of key genes, proteins, and metabolites involved in growth, stress responses, and symbiotic interactions. Advances in legume genome sequencing, comparative transcriptomics, and proteomic analyses have uncovered crucial molecular networks regulating abiotic and biotic stress tolerance. Successful examples of use of such advances have been reported in pea, chickpea, pigeonpea, commonbean, groundnut, soybean, lablabean, lentils, fababean, and mungbean. Additionally, multi-omics integration facilitates precision breeding and climate-resilient crop development. The application of systems biology and machine learning further enhances the predictive power of meta-omics, driving innovations in sustainable legume improvement.