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Review of Case Materials
Reviews records, documents, testimony, data, and other relevant materials and consults with counsel regarding technical issues related to the matter.
Provide Expert Analysis
Applies specialized knowledge and experience to evaluate the technical or professional issues involved.
Form Expert Opinions
Develops independent, supportable opinions based on the available evidence and relevant standards.
Prepare Expert Reports
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Artificial intelligence systems can change through retraining, fine-tuning, configuration updates, revised thresholds, new data, or replacement of one model version with another. An Artificial Intelligence Expert Witness may compare deployment records, model versions, configuration information, testing results, and dated outputs to identify which system was operating when the disputed result was produced. Testing a later version may not reliably reproduce the behavior of the system in use during the relevant period.
Relevant evidence may include the input image or video, image quality, preprocessing steps, model version, detection or matching thresholds, confidence or similarity scores, reference images, testing results, and system logs. An Artificial Intelligence Expert Witness may evaluate how these factors affected the system's output and explain the meaning and limitations of the reported score or classification. A technical match or similarity score does not by itself establish a person's legal or factual identity.
Prompt records, system instructions, conversation logs, and related configuration data can show what information the system received, how the interaction developed, and which model or settings generated particular responses. An Artificial Intelligence Expert Witness may examine these records to distinguish behavior associated with the underlying model from behavior introduced by application prompts, retrieval systems, filters, tool integrations, or surrounding software.
An Artificial Intelligence Expert Witness may examine evaluation datasets, comparison groups, error rates, threshold settings, sampling methods, model outputs, and testing methodology to determine whether observed performance differences persist across an adequately supported set of examples. The analysis should consider dataset composition, sample size, measurement methods, and relevant system conditions. Measurable differences in system performance do not by themselves establish unlawful discrimination or another legal form of bias.
Artificial Intelligence, +4
Education
Copyright, +4
Prepares clear, well-supported expert reports outlining methodology, analysis, findings, and opinions.
Provide Deposition Testimony
Explains findings and opinions under oath and responds to questioning during deposition testimony.
Testify in Court
Presents specialized findings and opinions clearly to judges, juries, arbitrators, or other decision-makers.
An Artificial Intelligence Expert Witness may identify which system component performed each relevant step, including data collection, preprocessing, model inference, post-processing, business rules, user-interface logic, and storage or presentation of the final output. This can help determine whether the disputed behavior is associated with the AI model, input data, configuration choices, surrounding software, or downstream decision rules. When the central issue concerns conventional application logic, source-code defects, APIs, databases, or software implementation, a Software Expert Witness may provide more specialized analysis.
Entertainment
Artificial Intelligence, +4
Technology
Cybersecurity, +4
Technology