What Judges Think of the Quality of Legal Representation
Bibliographic record
Abstract
Studying the legal profession poses several challenges. The evolution of law has moved lawyers away from a generalist practice towards increased specialization. This makes it difficult to compare lawyers across different practice areas meaningfully and to provide a comprehensive assessment of the legal profession. Judges are well situated to provide such an evaluation, given their experience and scope of cases. This Article reports the responses of federal and state judges to a survey we conducted in 2008. The questions relate to their perceptions of the quality of legal representation, generally and in criminal and civil cases; how the quality of legal representation influences how they and juries decide cases; and their recommendations for change in the profession. We find that judges perceive significant disparities in the quality of legal representation, both within and across areas of the law. In many instances, the underlying causes of these disparities can be traced to the resources of the litigants. The judges' responses also suggest that they respond differently than juries to these disparities, and that the effect of these disparities on juries may be more pronounced in civil than in criminal cases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".