It is based on a real law firm's data. The firm is large, with over 600 Fee Earners in the UK. The data comes directly from the firm's HR system.
Pirical On Demand helps people leaders conduct this analysis themselves by self-serving from the firm's live data.
The UK government's Social Mobility Commission recommends this metric as the "single best measure to assess someone's background".
The question asked is: "What was the occupation of your main household earner when you were aged about 14?"
We will drop Intermediate SEB and compare Low SEB directly to High SEB. There are relatively few people in the Intermediate category. Including it adds noise and complexity.
Some people prefer the label 'Working Class' instead of 'Low SEB', and 'Professional' instead of 'High SEB'. We will use 'Low/High SEB' in this analysis to be clear we have excluded the intermediate category, which contain occupations some may consider Working Class.
The firm in our case study has about 50% data completeness for parental occupation data. This is enough to get good insights.
Using parental occupation as our primary measure of socioeconomic background is supported by a host of government, campaigning and research organisations, as well as large employers.
The market average for 2022 is 13%. The market average is calculated across firms using Pirical On Demand.
The firm has 80% High SEB Fee Earners, 43% more than the population.
Ethnic minority includes Black, Asian and Mixed/Other Minority ethnicities. 'Black+' includes Black & Mixed Black ethnicities. Same for Asian.
The percentage of Low SEB partners is actually higher than might be expected. One suggestion is that this is due to age, and how UK society has changed over time (the implication is fewer people work in manual and service occupations today than 50+ years ago). Pirical is keen to explore this further as more parental occupation benchmarks are made public.
There seems to be an issue with the pipeline: how talent is progressing through the firm.
There are three issues to investigate:
This attrition bias - to continue our metaphor - means the pipeline is leaky.
High SEB Associates are expected to stay at the firm for 2.2 years longer than Low SEB peers.
Using attrition data from all firms on Pirical On Demand, we can construct a market average.
We estimated the financial cost of excess Low SEB associate attrition by considering the impact of reducing the Low SEB attrition rates to equal those of High SEB peers.
The pipeline for Low SEB talent is not just leaky, it’s clogged too.
Although not at Trainee level.
Utilisation is the number of billed hours as a proportion of total hours. It is sometimes used as a metric of performance.
We have some evidence that working on larger teams is associated with higher attrition rates and lower promotion rates.
We also have some evidence that working on fewer matters is associated with higher attrition rates.
Ensuring balance in work allocation may be an effective mechanism for future change.
Promotions from coordinator (or individual contributor) roles into the managerial ranks have the highest promotion gap.
Pirical On Demand is a flexible solution for real-time social mobility data analysis, and for all diversity traits. Ready to learn more? See how Pirical On Demand works.
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