The expert network

We maintain a network of AI experts available for litigation support, expert reports, and technical analysis focusing on methodological rigor.

Request an expert

A structured expert network

Traditional expert witness directories often operate as open platforms where individuals register independently. This can result in variable candidate backgrounds, requiring attorneys to conduct independent vetting. We maintain direct professional relationships.

Our network connects attorneys with AI researchers, practitioners, and forensic specialists considered for technical rigor, methodological clarity, and professional background. Experts in our network are evaluated against core considerations for technical litigation support.

When you submit a matter inquiry, we review potential candidates matching the technical aspects of your case. This process supports attorney evaluation while respecting the scope of technical analysis versus legal conclusions.

Expertise areas

Machine learning and deep learning

Model architecture, training methodology, validation, and output reliability analysis.

Natural language processing

Large language models, text generation, classification, and NLP system evaluation.

Computer vision and synthetic media

Image and video analysis, artifact detection, and synthetic media analysis.

AI fairness and algorithmic bias

Disparate impact analysis, validation critique, and bias evaluation methodology.

Digital forensics and evidence

Chain of custody, forensic artifact analysis, and technical forensic tool evaluation.

AI systems engineering

System architecture, software reliability, failure analysis, and performance evaluation.

Government and defense AI

Procurement, compliance, and technical evaluation of AI systems in public sector contexts.

AI safety and risk assessment

Risk modeling, safety testing methodology, and evaluation of AI system safeguards.

Expert evaluation standards

Experts in our network are considered against the following criteria, reflecting key focus areas for technical litigation support.

Technical depth

Demonstrated technical experience in specific AI domains. Evaluation considers publications, practical project work, and technical background.

Methodological transparency

Use of documented and reproducible methods. Evaluation considers whether analytical approaches are clear, methodologically transparent, and suitable for assisting courts with technical assessments.

Source verification

Commitment to verification of sources and citations in technical work product. Consideration is given to verifiable methodology supporting reliable technical analysis.

Communication ability

Ability to explain complex AI concepts clearly to non-technical audiences. Consideration includes prior presentation experience and technical communication clarity.

Availability and scheduling

Consideration of expert availability relative to litigation timeframes and scheduling needs.

Join the expert network

If you are an AI researcher, practitioner, or forensic specialist interested in expert witness and litigation support work, we welcome inquiries. We look for practitioners with specialized technical expertise, analytical rigor, and a commitment to methodologically sound technical analysis.

Apply to join the network

Start with the technical question

Begin a non-confidential matter triage to identify the technical issue, litigation posture, and expert profile that may fit the matter.