Colin Fraser
Partner
The definition of insanity is said to be doing the same thing repeatedly and expecting a different outcome. And yet, for many corporates, their approach to dispute risk hints at that. What if there was a way to use data to better engage with risk?
Most client organisations will have an instinctive feel for what is driving risk, claims and disputes within their business. However, they will struggle to quantify it and prioritise the measures to manage that risk. As a result they will lack the business case to invest in addressing issues.
Over and over again organisations subject themselves to risks with common features. This creates commercial exposure as well as legal cost and business distraction. Profitability is affected. Working closely with one FTSE blue chip, we delivered a programme of work aimed at addressing this.
As our client observed, while most legal advisers will focus on providing an ambulance at the bottom of the cliff, we focused on building fences at the top.
Commercial director
FTSE business
Very impressed ... build the fences at the top of the cliff instead of providing ambulances at the bottom ... really positive about the new processes and protocols...
Traceable Causes was a programme aimed at identifying and addressing the root causes of risk, claims, disputes and litigation within the sector before they happen. The aim was to support the in-house legal team in developing a targeted investment plan to reduce litigation risk.
The key features of the solution were:
Our deep commitment to a small number of industry sectors enables us to develop unique visibility on sector-wide issues. In this instance we were able to look at sector-specific resources to benchmark the client's risk profile against the wider market.
Further, we have developed the methodology in such a way that other law firms within the client organisation's panel can collaborate with us. By inputting disputes data into the model, either in real time or retrospectively, it helps the client develop a comprehensive dataset.
Working with one major client, we were able to present data to its board demonstrating:
The data is capable of significant interrogation, for instance looking at win/loss/settlement rates mapped against:
Working with our client, we went on to implement a programme of targeted business improvement with tangible results.