Legal Mind at the Helm: General Counsel in Top Management and Firm Innovation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
General Counsels (GCs), who traditionally were seen as legal gatekeepers playing a supporting role, are increasingly ascending to more powerful roles in strategic leadership. Considering their expanding role, we examine how general counsels in top management teams (TMTs) influence firm strategy in the critical realm of innovation. Our main argument is that the presence of GCs in TMTs can ensure that legal expertise is leveraged in the early stages of the innovation process, allowing for inventions to be developed with a clear understanding of legal implications. In support of this idea, we find that firms with GCs in TMTs have better innovation performance (in terms of both quantity and quality), and this result is stronger when firms’ innovation efforts entail high legal risk and uncertainty. Furthermore, the results are weaker when GCs’ attention is diverted due to ongoing patent litigation and stronger when GCs have higher levels of power within the TMT.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.001 |
| 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 it