A quiet shift in litigation funding that many are missing
I’ve noticed a pattern in conversations recently.
Not always, but often enough to pay attention.
Someone will lean on one of two points.
Either:
“AI is going to change everything in this space.”
Or:
“I’ve been doing this for 20–30 years.”
On the surface, both are entirely reasonable.
AI is changing industries.
Experience does matter.
But increasingly, when either is positioned as the reason someone will succeed going forward, it gives me pause.
Because both statements, in different ways, assume the same thing.
That the future will behave like an extension of the past. Just faster, or more efficient.
And I’m not sure that’s what’s happening.
The landscape hasn’t just improved. It has shifted.
AI, for all its power, doesn’t introduce judgment.
It processes. It scales. It accelerates.
But it works on what it’s given.
Which means:
AI doesn’t fix flawed assumptions. It operationalises and scales them.
If the way we think about risk, duration, or value realisation hasn’t evolved, AI won’t correct that.
It will simply get you to the same answer, faster, and often with greater confidence.
AI can extend thinking.
But it cannot redefine the problem you are trying to solve.
Experience has a similar dynamic.
The best investors in this space still rely on it heavily.
But only when it is being applied to a market that still behaves in familiar ways.
And right now, parts of this market don’t.
Experience is only valuable to the extent it is continuously updated.
Otherwise, it becomes anchoring.
The shift I’m seeing is subtle, but meaningful.
Litigation funding is moving away from a purely binary exercise, win or lose, and toward something that looks much closer to structured finance around legal outcomes.
Where the real questions are less about:
“Do we win the case?”
And more about:
“How is value realised, over what timeframe, and through which mechanism?”
That shift changes what matters.
For lawyers and claimants, this has a practical implication.
The question is no longer just whether a case is fundable on its merits, but whether it can be structured into a recoverable, time-bound outcome that capital can underwrite.
That often requires thinking about enforcement, cash flow pathways, and capital structure earlier than most processes currently allow.
Enforcement starts to matter as much as merits.
Cash flow pathways matter as much as legal strength.
Structure starts to matter as much as selection.
And the capital is changing too.
You’re no longer just operating within a closed pool of litigation funders.
You’re increasingly intersecting with:
private credit
special situations investors
structured capital providers
Each looking at the same asset through a different lens.
Geography is shifting as well.
Some of the most interesting opportunities don’t sit in the markets that built the original playbook.
They sit in places where:
legal rights are clear
enforcement requires structuring
risk is often priced more by perception than by underlying reality
Put all of that together, and it becomes harder to rely on either:
tools alone
or experience alone
as a proxy for future performance.
Which brings me back to those two statements.
AI as the answer.
Experience as the answer.
Neither is wrong.
But on their own, they’re incomplete.
Because ultimately:
AI will amplify the quality of your thinking.
Experience will inform it.
But neither replaces the need to continuously adapt it.
And that, at least for me, is where the more interesting question sits:
Not who has the best tools.
Not who has been around the longest.
But who is genuinely engaging with how this asset class is evolving, and adjusting accordingly.
Curious how others are seeing this.
Does it feel like the market is moving…
or are we still, in some ways, underwriting yesterday with better tools?
If you’re looking at a matter where enforcement, structuring, or capital alignment is becoming a factor, I’m always happy to compare notes early in the process.
At Wild Dog, we work at the intersection of litigation funding, ATE insurance, and structured capital, helping attorneys and their clients translate legal claims into investable outcomes.
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