This topic feels a bit pedestrian after reading @Todor Kostov's brilliant threads on AI (and the comments). Nonetheless...
I'm looking at litigation finance for the first time, curious if anyone here might be willing to share some expertise / experience. In particular, what how might you evaluate performance over time and assess that performance vs. competitors (benchmarks...)? What key metrics might be common to the assessment? Would really value comments, links, or happy to connect for a quick chat.
In this case, I have reviewed performance track record over time and generally found:
- 92% success rate, i.e. the team is highly effective at funding cases that ultimately succeed either through settlement or decision
- weightings: they seem to be taking larger bets on cases that have delivered stronger returns
- reviewed returns on a case-by-case basis, overall basis, and vs. initial internal budgets / commitments, payoff & timeline estimates,
- overall, returns are uncorrelated to just about anything, attractive, appear to be driven by differentiated insights
The firm is a small boutique focusing on US, UK, Europe litigation, no arbitration. Team led by seasoned barristers w/ 30+ years litigation experience, fund c. 2% of cases reviewed. Some key person risk.
Separately and tying this into the AI discussions on the board - I have been in contact with a professor at Uni of Toronto that is advising litigation finance investors in North America and developing AI tools to assess cases. Will share more as I learn more.
#privatecredit
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Scott Richards
Managing Partner
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