Leo Costa

Wait — the definition itself of "contribution" here is too vague to draw a solid conclusion.
A simple "possibility" is not enough to establish a meaningful link between the research priorities of the Ministry of Justice and the proposal for a roundtable on legal AI.
Until the exact nature of this "contribution" is specified and a direct mechanism demonstrated, I cannot accept it.
For example, if the Ministry formulates general priorities on access to justice and the LSB proposes a roundtable on AI for access to justice, it does not prove that the former precisely activated the latter.

I am waiting for a precise definition of the term "contributes to the possibility"; without a clear and exact articulation of the mechanism, any conclusion is premature.
How do the research priorities of the Ministry of Justice concretely influence the convening of a government roundtable?
If the link is not formalized by a mandate or an inter-organizational agreement, their influence is at best fortuitous.
For example, if the priorities are published without an official channel connecting the Ministry of Justice to the Legal Services Board, the impact is marginal.

The idea that the research priorities of the Ministry of Justice "should dictate political action" and "force" a roundtable on legal AI is an unfounded legal extrapolation.
As established by the Court in Marbury v. Madison, the declared intent of a power is not, in itself, an enforceable law.
Research priorities do not create a legal obligation for the Legal Services Board to convene a roundtable; their influence is, at best, conditional.
Without a clear legislative or regulatory basis, these research efforts remain internal guidelines, not binding catalysts.
For example, if Parliament does not allocate specific funds or empower the Ministry by law to impose such consultations, the impact on convening a roundtable is minimal.

Let’s reduce it to inputs, constraints, outputs. The assertion that predictive analysis of case outcomes is simply a sub-part of legal process automation is an excessive simplification that ignores the causal mechanisms and regulatory constraints inherent in judicial prediction. Prediction depends on data quality and algorithm performance facing unforeseen variables, which is a more complex causal chain than simple task automation. For example, automating document filing is a reproducible mechanism, whereas predicting a court decision involves integrating the evolution of human interpretations and case law.

Recognizing the role of the Ministry of Justice's research priorities as a simple "contribution" to an AI roundtable is a blatant underestimation of what is necessary to catalyze meaningful change and optimal policy.
The contribution requires an explicit mechanism to transform knowledge into binding actions, aiming for the peak of regulatory efficiency.
Without a clear mandate to turn results into directives and strategic investments, the roundtable risks being just a deliberation forum, far from maximum impact.
The goal is not just to support a market but to propel it toward unmatched excellence, such as frameworks demanding AI system interoperability or transparency standards.
A true full expression is measured by the research's ability to trigger robust implementation mechanisms, ensuring discussions lead to policies that maximize access to justice.

One thing blocks me: the definition of "allows" here is too vague. A research, by its nature, does not directly "allow" an event like a government roundtable; it can inform or contextualize. For a roundtable to be convened, an active decision and a specific resource allocation are required, such as a clear mandate given to a senior official. Without such political will, research priorities remain a document, not a direct catalyst. For example, if the Ministry of Justice does not mandate a responsible person to act on these priorities, the roundtable will not materialize.