Independent process can help test or negotiate one layer while legal, regulatory and technical responsibilities remain with the specialists who hold them.
The technology can change while the commercial question is still being framed.
Data and AI relationships can involve data access, model performance, training use, outputs, licensing, governance, responsibility and rapidly changing products. A useful Neutral route should narrow the commercial question before the technology changes it again.
Access, training, reuse and derived data may be contested.
Accuracy, reliability and output quality can be disputed.
Risk allocation may lag behind product capability.
Fast-moving technology makes a clearly bounded Neutral mandate more valuable.
The process should define the current commercial question, the technical record needed and the authority of the output without pretending the Neutral is the model developer, regulator or data-protection adviser.
Data / AI strain often appears because the commercial deal was written around a technology that has already moved.
Identify whether the problem is access, performance, output, value or governance before choosing the route.
The parties disagree on what data can be used and for what purpose.
Ownership, reuse or downstream application is disputed.
Benchmarks, errors or reliability affect the commercial relationship.
New capabilities or deployment models exceed the original commercial design.
Decision rights, audit, oversight and risk allocation have not kept pace.
A useful process separates technical system performance from the commercial and governance decisions around it.
The Neutral should work on a defined question while technical experts and legal advisers remain responsible for their own domains.
Neutral Evaluation can help test a defined exposure, performance or governance question before the parties decide what follows.
Facilitation can bring technical, legal and commercial teams into one structured route without merging their roles.
Technical, legal, privacy and regulatory responsibilities remain with the relevant specialists.
Choose the route from whether the missing thing is commercial clarity, governance movement or a specialist answer.
AI complexity should narrow the mandate around the current question.
Neutral Evaluation
Use evaluation where the parties need a defined outside assessment on performance, exposure, governance or commercial effect.
A data / AI mandate should define the current technology state as well as the professional question.
Otherwise the system may change faster than the process can explain what it is assessing.
Access, output, performance, value, governance or responsibility.
Define model, release, deployment or system state.
Usage, testing, audit and technical material should be identified.
Privacy, regulatory, legal and technical advice remain distinct.
Assessment, facilitation, negotiation and specialist determination have different effects.
View, governance route, agreement or specialist decision.
Data / AI questions sit close to licensing, IP, sensitive process and technology-sector routes.
Use the adjacent situation when the real pressure lies in rights, governance or a continuing technology relationship.
When licence scope and continuing technology relationship are central.
IP Technology / IP questionWhen ownership or rights are the main issue.
INSTITUTION Sensitive institutional processWhen AI governance or review needs visible independence.
REVIEW Independent special reviewWhen one defined AI or data issue needs independent review.
SECTOR Technology & DataFor broader sector context.
Find the professional for the defined commercial question, then add data, AI, governance and sector depth carefully.
Avoid treating general technology experience as evidence of the exact AI or data capability the mandate needs.
Do not search by prestige before the mandate is clear.
Sector, jurisdiction and specialist depth should refine fit.
Use the Global Register, then run matter-specific conflict and availability checks.
Data and AI questions become difficult when technical change, commercial dependence and governance responsibility move at different speeds.
The Neutral role should help a defined commercial or governance question move without pretending to validate the model, determine legal compliance or replace technical assurance.
What technology is actually in use now?
Model, data source, vendor stack, automation layer and deployment state should be described as they exist at the time of the mandate.
What business issue is blocked?
Pricing, access, performance, allocation of risk, vendor dependency or use rights may be the real commercial question.
Who owns the decision?
Board, management, technology leadership, privacy, risk or another formal body may retain authority over deployment and control decisions.
What requires separate technical or legal expertise?
Model validation, cybersecurity, privacy, IP, safety, regulatory compliance and bias assessment may require specialists beyond the Neutral role.
Fast-moving technology makes scope discipline more important, not less.
A useful process freezes the relevant technology state, defines the business question and keeps specialist authority visible.
Define the current system before debating the future relationship.
The Neutral should know which version, data environment and commercial arrangement the parties are actually discussing.
State the commercial question
Separate pricing, performance, access, licensing, governance, allocation of risk and relationship issues instead of treating AI as one broad problem.
Capture the current technical state
Identify the deployed system, material changes and relevant factual assumptions so the process does not chase a moving target.
Choose mediation or evaluation deliberately
Use mediation for negotiated commercial movement and Neutral Evaluation where a bounded outside view can support a retained decision.
Bring technical and legal specialists into their own roles
Do not ask the Neutral to certify model quality, cybersecurity, legal compliance, privacy or IP unless separately qualified and appointed.
Set the update rule
If the technology changes materially during the process, define when new facts are admitted and whether the mandate itself must be revised.
An independent process around AI should not become an invisible technology regulator.
The authority map matters because fast-moving technology can tempt organisations to ask one external professional to answer questions belonging to several disciplines.
A bounded commercial or governance process.
- Mediation of a technology relationship.
- Neutral Evaluation of a defined commercial or governance question.
- Structured discussion between business, technology and risk stakeholders.
- A clear record of assumptions and current system state.
- A route into separate specialist evidence where needed.
Technical certification or legal authority.
- Not the model validator.
- Not cybersecurity assurance.
- Not privacy or AI regulatory counsel.
- Not the board or technology management.
- Not a guarantee that a system is safe, compliant or unbiased.
Current public professional records
Only currently published professional records are shown.

Thomas P. Valenti
Attorney, Arbitrator, Mediator, Facilitator
Published record: AV Rated Attorney Certified Mediator and Arbitrator 45 Years Legal Experience Admitted to the Bar 1977, Arbitrator since 1990, Mediator since 2000 Employment Thomas P. Valenti Attorney, Arbitrator (FCIArb), Mediator,…

James Miller
Arbitrator & Mediator
Published record: Judge Miller presided over one of Colorado\\\'s busiest trial courts for nearly twelve years, where he was praised by attorneys, litigants and jurors for his sense of fairness, his preparation,…

Safir Anand
Arbitrator & Mediator
Published record: Current position: Senior Partner and Head of Department (Trademarks, Contractual and Commercial IP). Practice area/industry focus: Trademarks, Contractual and Commercial IP, Entertainment and Contractual IP, franchising and licensing, character merchandising,…

Patrick M. Norton
Arbitrator & Mediator
Published record: Patrick M. Norton is an independent arbitrator and mediator with extensive international ADR experience both as a neutral and as counsel. He currently practices in New York City and lives…
Data / AI strain becomes easier to manage when the current technology, the commercial question and the professional role are all defined at the same time.
Narrow the question faster than the technology changes it.