Synthetic-media practice
Deepfake Detection and Authentication for National Matters
Documented deepfake detection and authentication for federal criminal defense, civil litigation, MDL and enterprise matters. Method-transparent analysis under FRE 901 and 902.
The engagement
Methods, limits and reproducibility
Deepfake detection tools produce scores, not verdicts. A useful court opinion does not report a score in isolation; it reports what the score means on the distribution the detector was calibrated on, which failure modes are known for the detector, what alternative explanations exist for the observed artifact and how the finding was reproduced by another examiner. The report reads like a scientific opinion, not like a marketing claim.
The practice supports federal criminal defense where a recording is offered against a defendant and its authenticity is challenged, civil litigation where a communication or a video is in dispute, employment matters where a recording is claimed to be fabricated, and enterprise matters where synthetic media is a fraud vector. The opinion distinguishes acknowledged-AI generation, which is often disclosed in the content credential or the platform metadata, from allegedly-AI generation, where the disclosure is the disputed fact.
Analysis uses a stack of complementary methods. C2PA content credentials, where present, are verified against the content-credential trust chain. Container and codec fingerprints may support or exclude possible source pipelines. Generative-artifact analysis tests for documented failure modes of relevant image and video generators. Cross-modal analysis may compare audio and video consistency, including phoneme-to-viseme alignment, while accounting for compression and model generalization limits. The report cites each method used and states which finding rests on which method.
Scope
C2PA content-credential verification
Verification of C2PA manifests against the content-credential trust chain, review of the asserted actions in the manifest, and analysis of any consistency between the manifest and the container and codec evidence.
Generative-artifact analysis
Analysis targeting known failure modes of current image and video generators, including tell-tale artifacts around edges, high-frequency inconsistencies, temporal instability in video and frequency-domain anomalies.
Cross-modal consistency analysis
Comparison of audio and video streams for timing and phoneme-to-viseme consistency when source quality supports it. The report treats cross-modal output as one bounded indicator and accounts for compression, editing and detector generalization limits.
Container, codec and platform-fingerprint analysis
Analysis of the produced container, codec parameters and platform-transcoding fingerprints. Comparison against expected fingerprints for the claimed source device or platform.
Reference-comparison analysis
Where a reference recording of the person or the environment is available, comparison of the challenged file against the reference on the features the detector uses. The report states the reference set explicitly and what it does and does not support.
Deepfake-defense and rebuttal support
Independent analysis for defense where a recording is offered against the defendant and its authenticity is at issue. Rebuttal of prosecution- or plaintiff-side deepfake experts. Motion-support declarations under FRE 901 and 902.
Enterprise deepfake incident support
Written analysis of suspected deepfake incidents affecting enterprises, including CEO-fraud voice clones, executive-impersonation video calls and deepfake-driven wire-fraud attempts. Documentation appropriate for insurance and enforcement referral.
Methodology
How a deepfake detection engagement runs
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Retention and intake
Retention letter, conflict check, intake of the produced file in the container as produced and, where a reference set exists, intake of the reference recordings.
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Method stack
Application of a documented method stack: C2PA verification where present, container and codec analysis, generative-artifact analysis, cross-modal analysis and reference comparison. Each method's output is recorded separately.
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Report drafting
A written expert report stating which finding rests on which method, what the reproducibility record shows and where the alternative explanations lie. The report is written for a trier of fact to follow.
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Deposition and testimony
Preparation, deposition in person or by remote hookup, and hearing or trial testimony bounded by the report.
Evidence commonly examined
Evidence reviewed
- The produced media file in the container as it left the source
- Any C2PA manifest and content-credential trust chain records
- Preservation notices, platform export records and DVR extraction records
- Reference recordings of the person or the environment where available
- Opposing deepfake-detection expert reports and workpapers
- Detector output including tool version, model version and score distribution
- Court orders, protective orders and any authentication protocol
What you can expect
What you receive
- Written report on authenticity and synthetic-media evidence
- Method-transparent appendix stating each method used and its output
- Reference-comparison appendix where a reference set was available
- Rebuttal declaration on opposing deepfake-detection expert reports
- Deposition and trial testimony bounded by the report
- Court-facing demonstratives sourced to the file's metadata and content
Frequently asked
Common questions
Are deepfake detectors reliable enough for court use?
Detection tools are usable evidence with known limits. The report does not report a score in isolation; it states the detector's calibration distribution, its known failure modes and how the finding was reproduced. Admissibility is decided by the court.
How does a C2PA credential factor into the opinion?
A C2PA manifest is a claim about who signed what and when. The report verifies the trust chain and analyzes whether the manifest is consistent with the container and content evidence. It is evidence, not a verdict.
Can you handle a matter where the file is offered against the defendant and the defendant claims it is a deepfake?
The scope can support a defense challenge to authenticity. The report does not adopt the retaining party's narrative; it separates what the file shows from what the surrounding record can and cannot establish.
How is deepfake analysis reproduced by another examiner?
The report cites the specific tools, versions and settings used. Workpapers preserve the sample files, the intermediate outputs and the analysis notes. A rebuttal examiner should be able to reach the same score or the same qualitative finding.
Do you handle enterprise deepfake-fraud incident response?
The work can address suspected voice-clone or executive-impersonation incidents, including technical documentation for insurance or law-enforcement referral where requested.
Related capabilities
Related services
Talk with an examiner
Discuss the matter and the next step.
Call to discuss timing, scope and the safest way to share information. Do not send evidence or credentials by email.
24/7 hotline: 1-800-868-8189