Human Rights and the Model Rules of Professional Conduct: Intersection and Integration
Bibliographic record
Abstract
The American Bar Association’s Model Rules of Professional Conduct nowhere mention human rights as either a means or an end to ethical lawyering. The origins and history of the modern ABA Code, framed at a time when the ABA leadership was hostile to universal human rights norms, suggest possible explanations for this omission as an initial matter. But the Model Rules are frequently revised, and the ABA is now a leader in the promulgation and implementation of human rights worldwide. Still, the model ethics rules remain silent on human rights. State ethics codes, largely drawn from the ABA model, are also generally silent concerning the relevance of human rights to legal practice. In contrast, several legal ethics codes from foreign jurisdictions, including Canada, the European Union, and Japan, specifically reference key human rights concepts as a component of ethical law practice. In light of these models, this article undertakes an initial review of the ABA Model Rules to assess the potential for inclusion of human rights norms, and the impact that such revisions might have on legal practice. For example, adding the concept of “individual dignity” as an element of legal representation might shape the means of providing such representation, including the scope of the lawyer’s obligation to “keep a client reasonably informed” under Model Rule 1.4. Similarly, a simple revision such as adding human rights to the list of pro bono possibilities in Model Rule 6.1(b)1) would begin to posit the protection and implementation of human rights as an appropriate end of ethical lawyering. With lawyers’ commitment to basic human rights seriously questioned in some quarters, inclusion of human rights in the ABA’s Model Rules would underscore the profession’s commitment to upholding these legal norms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".