Staring down a mountain of PDFs for your systematic review? Manual screening and data extraction are tedious, error-prone, and simply unsustainable for niche, in-depth research. AI automation can turn this bottleneck into a streamlined process. The Core Principle: Iterative Refinement The key to successful automation is not a "set-and-forget" tool, but an iterative refinement loop . You start with simple rules, validate the output on a small sample, identify failures, and refine your approach. This creates a feedback cycle where you "teach" the system to understand your specific domain's nuances. Your Extraction Engine: GROBID For processing academic PDFs at scale, GROBID (GeneRation Of BIbliographic Data) is an essential open-source library. It parses PDFs to extract structured data into TEI XML, including the header (title, authors, abstract), the full body text with sections and figures, and parsed references .…