(Isstories Editorial):- Bakersfield, California Jan 31, 2026 (Issuewire.com) – Bruce Tisler today announced the public release of Deterministic Document Review Protocol (DDRP) v0.1, an open-source software tool designed to analyze documents without using artificial intelligence or probabilistic language models.
At a time when most document review systems rely on AI to interpret meaning, summarize content, or assess compliance, DDRP takes a deliberately different approach. The protocol performs deterministic, rule-based lexical analysis, producing reproducible structural evidence directly from the text itself.
DDRP can be installed locally, run fully offline, and process both plain-text and PDF documents. It identifies explicit structural elements such as requirements, definitions, scope boundaries, dependencies, and causal claims, and reports where required information is present or structurally missing. Identical inputs always produce identical outputs.
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The system can optionally generate a cryptographically chained transaction record, including timestamps and hashes, documenting execution continuity. These records are intended to support inspection, auditability, and adversarial review.
Importantly, DDRP does not interpret meaning, determine compliance, assess risk, or generate recommendations. It does not use machine learning, semantic inference, or confidence scoring. Its purpose is to surface what a document explicitly commits to, while preserving evidence of where human interpretation would be required.
“DDRP is intentionally restrained,” said Tisler. “Rather than claiming understanding, it preserves structure. The goal is to make document review reproducible and inspectable, especially in contexts where AI-generated interpretations are difficult to audit.”
Regulatory agencies, oversight bodies, and standards organizations are encouraged to review and consider DDRP as a reference protocol for deterministic, non-interpretive document analysis. The protocol is designed to scale from individual use to organizational and enterprise environments while preserving identical, reproducible behavior across deployments.
DDRP is released under an open-source, non-commercial license. It is freely available for inspection, adoption, and internal use by individuals, institutions, and public-sector entities, but it is not licensed for incorporation into commercial products or services.
The protocol, accompanying documentation, and reference implementation are publicly available under an open-source license. A formal protocol description is archived with DOI 10.5281/zenodo.18427220.
Repository and installation instructions:
https://github.com/btisler-DS/ddrp
DOI:
https://doi.org/10.5281/zenodo.18427220
About the Author
Bruce Tisler is a researcher and systems architect working on the design, evaluation, and governance of computational tools. His work spans document analysis, reproducible systems, and the structural limits of automated reasoning.
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