Find what the report missed
FrameCounsel's contradiction detection engine cross-references police report narratives against video transcriptions, visual evidence, and metadata timestamps to surface discrepancies, omissions, and inconsistencies that human review would take days to uncover. Every flagged contradiction is anchored to specific video frames and report passages, giving defense attorneys court-ready evidence to challenge the prosecution's narrative.
A streamlined workflow designed for defense attorneys, not forensic engineers.
Import body camera footage, dashcam video, and police reports (PDF, DOCX, or plain text). FrameCounsel ingests all sources into a unified analysis workspace.
MLX Whisper transcribes all audio on-device while the NLP engine parses police report narratives, extracting claims, timestamps, descriptions of events, and attributed actions.
The contradiction engine compares every claim in the written report against the video evidence — matching timestamps, verifying described actions against visual footage, and identifying temporal inconsistencies.
Each detected contradiction is presented with side-by-side evidence: the report excerpt alongside the corresponding video frame and transcript. Export directly into court-ready reports.
Purpose-built capabilities for criminal defense evidence analysis.
Maps every claim in a police report to corresponding video evidence, flagging unsupported assertions and factual errors.
Identifies mismatches between reported times and video metadata timestamps — catching inflated response times, incorrect sequence of events, and temporal gaps.
Detects events visible in footage that are absent from written reports — the moments officers chose not to document.
NLP engine understands context and meaning, catching contradictions that are not word-for-word mismatches but substantive inconsistencies in narrative.
Assigns a reliability score to each section of a report based on how many claims are supported, unsupported, or contradicted by video evidence.
Generate detailed contradiction reports with embedded video frame references, timestamps, and side-by-side comparisons ready for motions and trial exhibits.
How defense teams use this capability to protect their clients' rights.
Scenario
An officer's report states the defendant "lunged aggressively" before force was applied. Body camera footage shows the defendant with hands raised, stepping backward.
Outcome
FrameCounsel flags the contradiction with frame-by-frame evidence showing body position inconsistent with "lunging." The contradiction report becomes exhibit A in the suppression motion.
Scenario
The arrest report claims reasonable suspicion was established at 11:42 PM, but dashcam metadata shows the traffic stop began at 11:38 PM — four minutes before the stated justification.
Outcome
The timeline discrepancy undermines the officer's stated basis for the stop. Defense files a motion to suppress based on the temporal impossibility documented by FrameCounsel.
Scenario
Police report states Miranda warnings were given "upon initial contact." Continuous body camera footage shows no Miranda advisement during the first 22 minutes of custodial interrogation.
Outcome
FrameCounsel identifies the 22-minute gap between claimed advisement and actual Miranda delivery. All statements made during that window become subject to suppression.
On-Device NLP & Cross-Reference Engine
Runs entirely on Apple Silicon using MLX-optimized NLP models — zero cloud dependency
Named entity recognition extracts people, locations, times, and actions from police narratives
Temporal alignment engine maps report claims to video timestamps with sub-second precision
Semantic similarity scoring detects paraphrased contradictions, not just exact-match differences
Supports PDF, DOCX, and plain text report imports with automatic section parsing
Contradiction confidence scoring from 0-100 helps prioritize the most impactful discrepancies
All analysis data stays on your Mac — attorney-client privilege fully preserved
Common questions about ai-powered contradiction detection.
FrameCounsel's contradiction engine achieves high precision by anchoring every flag to specific evidence — a video frame, a transcript passage, or a metadata timestamp. It uses confidence scoring to rank findings, so you always see the strongest contradictions first. However, it is a tool to assist attorney review, not replace it. Every flagged contradiction should be verified by counsel before use in proceedings.
Yes. You can import multiple officers' reports for the same incident and FrameCounsel will cross-reference them against each other as well as against the video evidence. This is particularly powerful for identifying inconsistencies between officers' accounts of the same events.
No. The entire contradiction detection pipeline — transcription, NLP parsing, and cross-reference analysis — runs locally on your Mac's Apple Silicon processor. No data is transmitted to any cloud service, API, or external server. You can operate in full air-gapped mode with no internet connection.
FrameCounsel detects factual contradictions (report says X, video shows Y), temporal contradictions (timeline mismatches), omission contradictions (events in video absent from report), and inter-report contradictions (different officers' accounts conflict with each other). Each type is categorized and scored separately.
Blog posts, case studies, and documentation related to this feature.
Download FrameCounsel and start using ai-powered contradiction detection on your next case. 30-day free trial. No credit card. 100% on-device.