Data ReserveAI data licensing research
Section 06 / Expert Q&A

Which experts would give a balanced view?

Data Reserve research deskSection 06Page 1 of 17Last updated 4 November 2026

Use a mix of legal academics, licensing practitioners and technical operators. A person with relevant expertise can still have an institutional or commercial position; ask them to disclose it rather than treating any interview as independent certification.

Suggested expert Affiliation checked in a primary institutional or event source Best questions Perspective to make explicit
Pamela Samuelson Richard M. Sherman Distinguished Professor of Law and Information, UC Berkeley; faculty profile Fair use, ownership, evidence and policy limits Academic analysis; ask about relevant current advocacy or advisory roles
Mark A. Lemley William H. Neukom Professor of Law and director of Stanford's Program in Law, Science & Technology; faculty profile Competition, substitution, remedies and bargaining assumptions Academic legal/economic perspective; disclose relevant representations or conflicts
Roy Kaufman Managing Director of Business Development and Government Relations, CCC; May 2026 authored article and biography Collective permissions, repertoire coverage, licence scope and cross-border supply Licensing-provider perspective; separate policy preference from demonstrated owner outcomes
Toshit Panigrahi CEO and co-founder, TollBit; Copyright Society biography Paid access, qualified demand, metering and remittance Access-platform commercial interest; request evidence specific to the proposed service
Laurent Le Meur Technical Director, EDRLab in its 2026 programme; programme. Editor of the published TDMRep report Reservation signals, metadata portability and operational limits Technical standards perspective; does not replace US counsel

Reconfirm roles before publishing an eventual interview. Add an owner-side licensing executive with a completed, permissioned case study and an ML engineer responsible for deletion testing; neither role is filled by inventing a representative or implying an unidentified customer exists.

Sources cited on this page

  1. faculty profile ↗law.berkeley.edu
  2. faculty profile ↗law.stanford.edu
  3. May 2026 authored article and biography ↗copyright.com
  4. Copyright Society biography ↗copyrightsociety.org
  5. programme ↗edrlab.org
  6. TDMRep report ↗w3.org