Expert Witness Selection
Expert witness selection solutions help attorneys identify, evaluate, and retain qualified expert witnesses for litigation matters. Solutions in this category generally fall into two groups. Directory and matching platforms offer searchable databases of experts across hundreds of specialties, along with credentials and contact details, increasingly using AI-assisted matching to surface strong candidates for a given case, and some support instructing and paying the expert directly through the platform. A second group focuses on due diligence rather than discovery, using AI or dedicated researchers to compile an expert's full litigation history, including past testimony, depositions, Daubert or Frye challenges, disciplinary actions, and public statements, so attorneys can assess a candidate's credibility or prepare to cross-examine an opposing expert. Some solutions also let firms retain internal records of experts they have previously used, informing future selection decisions based on past performance and outcomes. This matters because selecting the right expert requires weighing a candidate's academic and experiential qualifications against their suitability for a specific matter, a process that can be time-consuming and carries real professional risk if handled poorly. Generative AI is increasingly used across both approaches, matching experts to case facts and surfacing risk signals in an expert's public record.
Expert witness selection solutions help attorneys identify, evaluate, and retain qualified expert witnesses for litigation matters. Solutions in this category generally fall into two groups. Directory and matching platforms offer searchable databases of experts across hundreds of specialties, along with credentials and contact details, increasingly using AI-assisted matching to surface strong candidates for a given case, and some support instructing and paying the expert directly through the platform. A second group focuses on due diligence rather than discovery, using AI or dedicated researchers to compile an expert's full litigation history, including past testimony, depositions, Daubert or Frye challenges, disciplinary actions, and public statements, so attorneys can assess a candidate's credibility or prepare to cross-examine an opposing expert. Some solutions also let firms retain internal records of experts they have previously used, informing future selection decisions based on past performance and outcomes. This matters because selecting the right expert requires weighing a candidate's academic and experiential qualifications against their suitability for a specific matter, a process that can be time-consuming and carries real professional risk if handled poorly. Generative AI is increasingly used across both approaches, matching experts to case facts and surfacing risk signals in an expert's public record.
Loading...