Background: The fit accuracy of removable partial dentures (RPDs) is essential for the functionality, patient comfort, and durability of RPDs. Traditional fabrication methods, like lost-wax casting, are reliable, but labor intensive, potentially affecting the fit accuracy of RPDs. Advances in digital fabrication techniques offer new avenues to improve RPD precision. This systematic review and meta-analysis will assess the impact of digital fabrication methods on the fit accuracy of RPDs compared to conventional techniques. Objective: To evaluate whether digital fabrication methods, specifically CAD/CAM and additive manufacturing, offer superior fit accuracy for RPD frameworks over conventional methods. Methods: The study protocol was registered with PROSPERO (registration number CRD42024586891). A comprehensive literature search was conducted across PubMed, the Cochrane Library, Scopus, and Ovid MEDLINE databases, covering publications published up to July 2024. The inclusion criteria comprised in vitro studies comparing the fit accuracy of digital versus conventional RPD fabrication techniques, with quantitative outcomes, such as the mean gap size or seating accuracy. The data were extracted and synthesized using a random-effects meta-analysis model. Results: Eleven studies met the inclusion criteria, with seven studies included in the meta-analysis. The mean gap size for digitally fabricated RPDs was 140 µm, compared to 164 µm for conventional methods, with a weighted mean difference (WMD) of 26.29 µm, favoring digital techniques. The subgroup analysis indicated variability in the fit across different digital techniques, with milling showing the best results, although the differences were not statistically significant. Limitations: The analysis included only in vitro studies, limiting the clinical generalizability of the findings. Additionally, heterogeneity in the study design and measurement methods persisted, which could have impacted the overall conclusions. Conclusions: Digital fabrication methods demonstrated a trend toward improved fit accuracy in comparison to conventional techniques, although the differences were modest. Future research should focus on standardizing digital workflows and conducting clinical trials to confirm these findings.