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Do Better Lawyers Win More Often? Measures of Advocate Quality and Their Impact in Singapore's Supreme Court

Published online by Cambridge University Press:  05 August 2020

Simon CHESTERMAN*
Affiliation:
National University of Singapore chesterman@nus.edu.sg
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Abstract

Parties to a dispute that goes to court typically seek to retain the best lawyer they can afford. But do the ‘best’ lawyers get better results? This article surveys the literature across various jurisdictions before introducing a recent study of determinants of litigation outcomes in Singapore. The focus is on whether there is a correlation between various measures of lawyer quality (size of law firm, professional status, years of experience, etc) and actual success in court. Consistent with past studies, larger and better-resourced law firms tend to do better on average – though Singapore is unusual in that the Government Legal Service functions like the largest and best-resourced law firm. Individual lawyers, however, yield unusual results, with more experienced lawyers sometimes having a lower success rate in court – perhaps due to them taking on more complex cases. The study also shows that women are significantly underrepresented as lead counsel in Singapore, but on average may outperform men.

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Article
Copyright
Copyright © National University of Singapore, 2020
Figure 0

Figure 1. Cases included in the dataset

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Figure 2. Subject areas

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Figure 3. Number of lawyers grouped by years of experience

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Table 1. Average years of experience of lawyer by client

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Figure 4. Overall success rates

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Table 2. Success rates before the Court of Appeal and the High Court

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Table 3. Success rates by law firm (of those with more than 20 resolved cases)

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Table 4. Success rate in cases where the Government is a party. Shaded cells indicate above average performance. Percentage of wins excludes outcomes that were tied or indeterminate.

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Table 5. Success rate by law firm match-up. Shaded cells indicate above average performance. Percentage of wins excludes outcomes that were tied or indeterminate.

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Figure 5. Success rate by relative size of firm. X-axis indicates relative size of firm representing plaintiff/appellant, with a higher number indicating larger relative size. Y-axis represents success rate. Size of bubble reflects number of cases.

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Table 6. Success rate by difference in number of counsel appearing for the respective parties. Shaded cells indicate above average performance. Percentage of wins excludes outcomes that were tied or indeterminate.

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Figure 6. Success rate by relative number of lawyers appearing. X-axis indicates difference in number of lawyers representing plaintiff/appellant as compared with defendant/respondent, with a positive number indicating more lawyers and a negative number indicating fewer. Y-axis represents success rate. Size of bubble reflects number of cases.

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Table 7. Success rate by individual lawyer

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Table 8. Success rate by Senior Counsel vs non-Senior Counsel match-ups. Shaded cell indicates above average performance. The underlined figure indicates below average performance. Percentage of wins excludes outcomes that were tied or indeterminate.

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Table 9. Success rate by gender. Shaded cells indicate above average performance. For some cases it was not possible to identify gender. Percentage of wins excludes outcomes that were tied or indeterminate.

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Table 10. Success rate by difference in years of experience (as measured in years since passing the bar) where this could be measured. Shaded cells indicate above average performance. Percentage of wins excludes outcomes that were tied or indeterminate.

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Figure 7. Success rates of plaintiff/appellant by relative years of experience as compared with defendant/respondent. X-axis indicates difference in years of experience for the lead counsel representing plaintiff/appellant as compared with defendant/respondent, with a positive number indicating more experience and a negative number indicating less. Y-axis represents success rate. Size of bubble reflects number of cases.

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Table 11. Regression analysis of outcomes by years of experience