Predictive Testimony: Compiled Syntax in AI-Generated Police Reports and Judicial Narratives

As AI systems draft police reports, insurance narratives, and judicial statements, a form of testimony emerges that is produced by syntax rather than direct observation. The paper argues that these systems operate as regla compilada, mapping heterogeneous inputs into surface sentences whose operator choices carry evidentiary force independent of officer perception. The analysis targets operator level mechanisms, including agentless passives, evidential frame insertion, temporal anchoring shifts, modal attenuation, serial nominalization, and quasi quotation, which shape who appears to act, what appears to occur, and how certainty is signaled. Method: twelve aligned pairs of body cam ASR segments and AI drafted report segments were tagged for six operators and compared with simple before and after counts. Findings show higher operator incidence in AI drafted text, preassigned narrative paths, and evidentiary posture shifts that do not depend on factual grounding or sensory access. The paper specifies audit artifacts for adversarial review, including compilation logs, prompt and template versions, operator traces, model release hashes, and officer edit diffs. The contribution is to locate evidentiary authority in operator conditioned form, not in content alone, and to establish a testable pathway from input stream to evidentiary surface relevant to confrontation, hearsay, and reliability analysis. Institutions are starting to use AI to write reports. These reports can read like testimony even when nobody actually witnessed the events. This paper explains how a regla compilada chooses sentence operators that change how a report works as evidence. We counted six operators in twelve matched pairs of audio and AI text. AI drafts used more operators, especially in accusatory parts. This matters for confrontation (who made the statement), hearsay (what source is being used), reliability (how certain the claim is), and chain of custody (what happened when). We provide a small audit kit, logs, operator traces, links to records, and an edits diff. Courts can run a simple screen. If a sentence has no identified source, cites "records" without a link, and replaces event time with system time, it should be cured or limited. DOI Primary archive: https://doi.org/10.5281/zenodo.16689540 Secondary archive: https://doi.org/10.6084/m9.figshare.29790617 SSRN: Pending assignment (ETA: Q3 2025)

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