Key Takeaways
- Women partners earn 82 cents on the dollar vs men U.S. BigLaw 2023
- Gender pay gap lawyers U.S.: 73% for all lawyers 2022
- UK solicitor partners: Women earn 78% of men 2023
- 67% of women lawyers report harassment impacting career 2022 U.S.
- Maternal bias: 43% women denied promotion post-maternity 2023
- Work-life balance: 72% women cite as top attrition reason 2022
- In 2023, women comprised 52.4% of all J.D. students enrolled in ABA-approved law schools in the United States
- Women earned 51.5% of all Juris Doctor (J.D.) degrees awarded by U.S. law schools in the 2021-2022 academic year
- In 2022, female law students at top 20 U.S. law schools averaged 51.8% of total enrollment, with Harvard Law School reporting 52% women
- In 2022, women lawyers numbered 40.5% of total U.S. lawyers
- UK: Women solicitors 52.3% of total in 2023
- Canada: 39.8% women lawyers in 2022
- Federal judiciary: Women judges 34.2% in 2023 U.S.
- State supreme courts: 38.7% women justices 2023 U.S.
- UK High Court: 32.5% women judges 2023
Women lawyers still face major pay and promotion gaps, with 82 cents to the dollar on average.
Compensation and Equity
Compensation and Equity Interpretation
Diversity and Inclusion Challenges
Diversity and Inclusion Challenges Interpretation
Education and Enrollment
Education and Enrollment Interpretation
Employment Statistics
Employment Statistics Interpretation
Leadership and Judiciary
Leadership and Judiciary Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Leah Kessler. (2026, February 13). Women In Law Statistics. Gitnux. https://gitnux.org/women-in-law-statistics
Leah Kessler. "Women In Law Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/women-in-law-statistics.
Leah Kessler. 2026. "Women In Law Statistics." Gitnux. https://gitnux.org/women-in-law-statistics.
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