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Valuing Indemnity Protection Investment Returns in Litigation Finance

Valuing Indemnity Protection Investment Returns in Litigation Finance

The following article is part of an ongoing column titled ‘Investor Insights.’  Brought to you by Ed Truant, founder and content manager of Slingshot Capital, ‘Investor Insights’ will provide thoughtful and engaging perspectives on all aspects of investing in litigation finance.  Executive Summary
  • Indemnities are not costless instruments; they are akin to securities options, but without a stated option value
  • Approaches to determining cost of indemnity include: Probability weighted outcome approach, Opportunity Cost Approach and Approach based on empirical evidence
  • Implications for Portfolio Returns are that improper assessment of indemnity returns may materially skew return results of a portfolio
Investor Insights
o   Indemnities have a cost and their cost should be used to determine investor returnso   Depending on how indemnity performance is measured, it has the ability to skew portfolio performance
Some litigation finance providers offer a product called indemnity protection (please don’t call it insurance), which is a product designed to protect plaintiffs against adverse costs in certain jurisdictions (Canada, Australia and the UK, for example) where the plaintiff may be found liable for defense costs should the defendant win the case.  Indemnity protection is prevalent in product class action and securities class action cases. What makes indemnity protection challenging is the process of estimating the returns inherent to providing the protection.  Indemnities differ from traditional litigation finance, in that the latter requires the funder to finance hard costs (legal counsel, court costs, expert witness costs, etc.), while the former only pays out once a case is lost by the plaintiff, and subject to the court’s determination regarding the application of adverse costs.  In the event the plaintiff is successful, the indemnity provider shares in the contingent proceeds and is not liable for any payout. However, in the event the defendant is successful, the indemnity provider must pay the indemnity amount and forego any prospective proceeds.  In a normal rate of return calculation, the numerator (i.e. gains or proceeds) and denominator (dollars deployed to finance costs) help determine a Return on Invested Capital (“ROIC”) or Multiple of Invested Capital (“MOIC”). However, with indemnities there is no denominator; in the event the plaintiff wins the case and hence there is no “cost”. Or is there? I think most people in finance would argue strongly, and rightly so, that there is indeed a cost.  I liken the analysis to that of a securities option.  In the context of a securities option (a put or call option, for example) one pays an upfront amount (i.e. the option price) to attain the right to benefit in either the reduction or increase in the underlying stock price.  The value of the option is based on the market’s view of the weighted average probability of the event taking place (i.e. achieving the strike price in a given period of time). In the case of an indemnity, there is no cost to providing the indemnity (other than out of-pocket contracting costs) even though the opportunity has value to the indemnity provider.  The value of the indemnity for the investor is inherent in the pay-out they expect to receive on success, which is offset by the likelihood of having to pay out under the indemnity.  Essentially, it is a costless option.  The upside produces infinite returns, while the downside produces a total loss. Approaches to Valuing the Indemnity Protection As we all know, nothing is “costless”. Instead, I would suggest that an investor in an indemnity needs to determine a theoretical cost for that investment. One approach is to look at the litigation funder’s underwriting report and economic analysis to determine the probabilities associated with various negative outcomes pertaining to the case, and probability-weight the negative outcomes to determine a theoretical cost of capital. Of course, these need to be looked at in the context of the risks of the various case types in the relevant jurisdiction, in addition to the risks of the case through the various stages of the case, as adverse costs can have multiple pay-out points throughout the case.  As an example, securities class actions in Australia and Canada, when certified by a court, have an extremely high success rate (meaning that they typically settle quickly after the certification). Another approach might be to look at the alternative to utilizing that same capital in an investment with a similar risk profile, where the potential outcome could be the same and the risk of loss is similar.  As an example, if the opportunity cost of providing an indemnity was to buy a securities option with a similar risk profile, then you could use the market cost of the option as a proxy for the cost of the indemnity. Yet another alternative would be to study the outcomes of a large sample of identical indemnities to try and determine the probability of a negative outcome and apply it to the indemnity amount to determine a notional cost.  Unfortunately, much of this information remains in the private domain, as most cases which use indemnity protection tend to settle.  In time, it may be that there is sufficient data to make this approach realistic, but as it stands, there is insufficient data to make this a viable alternative. While approaches will differ by fund manager and investor, the important point is to eschew the concept that an indemnity is a costless financial instrument, as to do so would skew the results inherent in a fund manager’s track record where indemnities are an important part of their strategy.  This same result can also occur in more traditional litigation finance cases where there is a settlement shortly after the funding contract has been entered into, and which did not necessitate the drawing of capital.  In this case, the returns are also infinite, but perhaps there should have been a theoretical cost of capital based on the probability of the funding contract being drawn upon. Investor Insights: When assessing the rates of return on an indemnity, my approach is to determine a weighted average probability of loss outcomes and apply them to the Indemnity amount in order to determine a notional cost for the indemnity.  This analysis becomes extremely important when assessing portfolio performance because most often fund managers do not assign a notional cost to their indemnities when providing their investment track records, and hence positive indemnity outcomes make their overall portfolio performance seem more impressive than one might otherwise assess.  A simplified example of the potential for an indemnity to skew portfolio performance based on approach is as follows: Assumptions: Case Type:                             Security Class Action Indemnity Amount:             $1,000,000 Damage Claim:                      $10,000,000 Contingent Interest:              10% Contingent Interest Award:  $1,000,000 Probability of Loss                $ Loss* Loss at Summary Judgement:                  10%                     $100,000 Loss at Certification:                                   5%                       $50,000 Loss at Trial:                                                 25%                     $250,000 Notional Cost of Indemnity:                                                  $400,000 * calculated as probability of loss multiplied by Indemnity Amount.
  1. Return Calculation applying a theoretical cost to the Indemnity in a win scenario:
ROIC: =       $600,000 ($1,000,0000-$400,000) = 150% $400,000 MOIC:                  $1,000,000 = 2.5 $400,000
  1. Return Calculation applying no cost to the indemnity in a win scenario:
MOIC & ROIC:          $1,000,000 = Infinite $0 Edward Truant is the founder of Slingshot Capital Inc. and an investor in the consumer and commercial litigation finance industry. Slingshot’s blog posts can be accessed at www.slingshotcap.com.
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A Framework for Measuring Tech ROI in Litigation Finance

This article was contributed by Ankita Mehta, Founder, Lexity.ai - a platform that helps litigation funds automate deal execution and prove ROI.

How do litigation funders truly quantify the return on investment from adopting new technologies? It’s the defining question for any CEO, CTO or internal champion. The potential is compelling: for context, according to litigation funders using Lexity’s AI-powered workflows, ROI figures of up to 285% have been reported.

The challenge is that the cost of doing nothing is invisible. Manual processes, analyst burnout, and missed deals rarely appear on a balance sheet — but they quietly erode yield every quarter.

You can’t manage what you can’t measure. This article introduces a pragmatic framework for quantifying the true value of adopting technology solutions, replacing ‘low-value’ manual tasks and processes with AI and freeing up human capital to focus on ‘high-value’ activities that drive bottom line results  .

A Pragmatic Framework for Measuring AI ROI

A proper ROI calculation goes beyond simple time savings. It captures two distinct categories:

  1. Direct Cost Savings – what you save
  2. Increased Value Generation – what you gain

The ‘Cost’ Side (What You Save)

This is the most straightforward calculation, focused on eliminating “grunt work” and mitigating errors.

Metric 1: Direct Time Savings — Eliminating Manual Bottlenecks 

Start by auditing a single, high-cost bottleneck. For many funds, this is the Preliminary Case Assessment, a process that often takes two to three days of an expert analyst's time.

The calculation here is straightforward. By multiplying the hours saved per case by the analyst's blended cost and the number of cases reviewed, a fund can reveal a significant hard-dollar saving each month.

Consider a fund reviewing 20 cases per month. If a 2-day manual assessment can be cut to 4 hours using an AI-powered workflow, the fund reallocates hundreds of analyst-hours every month. That time is now moved from low-value data entry to high-value judgment and risk analysis.

Metric 2: Cost of Inconsistent Risk — Reducing Subjectivity 

This metric is more complex but just as critical. How much time is spent fixing inconsistent or error-prone reviews? More importantly, what is the financial impact of a bad deal slipping through screening, or a good deal being rejected because of a rushed, subjective review?

Lexity’s workflows standardise evaluation criteria and accelerate document/data extraction, converting subjective evaluations into consistent, auditable outputs. This reduces rework costs and helps mitigate hidden costs of human error in portfolio selection.

The ‘Benefit’ Side (What You Gain)

This is where the true strategic upside lies. It’s not just about saving time—it’s about reinvesting that time into higher-value activities that grow the fund.

Metric 3: Increased Deal Capacity — Scaling Without Headcount Growth

What if your team could analyze more deals with the same staff? Time saved from automation becomes time reallocated to new higher value opportunities, dramatically increasing the value of human contributions.

One of the funds working with Lexity have reported a 2x to 3x increase in deal review capacity without a corresponding increase in overhead. 

Metric 4: Cost of Capital Drag — Reducing Duration Risk 

Every month a case extends beyond its expected closing, that capital is locked up. It is "dead" capital that could have been redeployed into new, IRR-generating opportunities.

By reducing evaluation bottlenecks and creating more accurate baseline timelines from inception, a disciplined workflow accelerates the entire pipeline. 

This figure can be quantified by considering the amount of capital locked up, the fund's cost of capital, and the length of the delay. This conceptual model turns a vague risk ("duration risk") into a hard number that a fund can actively manage and reduce.

An ROI Model Is Useless Without Adoption

Even the most elegant ROI model is meaningless if the team won't use the solution. This is how expensive technology becomes "shelf-ware."

Successful adoption is not about the technology; it's about the process. It starts by:

  1. Establish Clear Goals and Identify Key Stakeholders: Set measurable goals and a baseline. Identify stakeholders, especially the teams performing the manual tasks- they will be the first to validate efficiency gains.
  2. Targeting "Grunt Work," Not "Judgment": Ask “What repetitive task steals time from real analysis?” The goal is to augment your experts, not replace them.
  3. Starting with One Problem: Don't try to "implement AI." Solve one high-value bottleneck, like Preliminary Case Assessment. Prove the value, then expand. 
  4. Focusing on Process Fit: The right technology enhances your workflow; it doesn’t complicate it.

Conclusion: From Calculation to Confidence

A high ROI isn't a vague projection; it’s what happens when a disciplined process meets intelligent automation.

By starting to measure what truly matters—reallocated hours, deal capacity, and capital drag—fund managers can turn ROI from a spreadsheet abstraction into a tangible, strategic advantage.

By Ankita Mehta Founder, Lexity.ai — a platform that helps litigation funds automate deal execution and prove ROI.

Burford Capital’s $35 M Antitrust Funding Claim Deemed Unsecured

By John Freund |

In a recent ruling, Burford Capital suffered a significant setback when a U.S. bankruptcy court determined that its funding agreement was not secured status.

According to an article from JD Journal, Burford had backed antitrust claims brought by Harvest Sherwood, a food distributor that filed for bankruptcy in May 2025, via a 2022 financing agreement. The capital advance was tied to potential claims worth about US$1.1 billion in damages against meat‑industry defendants.

What mattered most for Burford’s recovery strategy was its effort to treat the agreement as a loan with first‑priority rights. The court, however, ruled the deal lacked essential elements required to create a lien, trust or other secured interest. Instead, the funding was classified as an unsecured claim, meaning Burford now joins the queue of general creditors rather than enjoying priority over secured lenders.

The decision carries major consequences. Unsecured claims typically face a much lower likelihood of full recovery, especially in estates loaded with secured debt. Here, key assets of the bankrupt estate consist of the antitrust actions themselves, and secured creditors such as JPM Chase continue to dominate the repayment waterfall. The ruling also casts a spotlight on how litigation‑funding agreements should be structured and negotiated when bankruptcy risk is present. Funders who assumed they could elevate their status via contractual design may now face greater caution and risk.

Manolete Partners PLC Posts Flat H1 as UK Insolvency Funding Opportunity Grows

By John Freund |

The UK‑listed litigation funder Manolete Partners PLC has released its interim financial results for the half‑year ended 30 September 2025, revealing a stable but subdued performance amid an expanding insolvency funding opportunity.

According to the company announcement, total revenue fell to £12.7 million (down 12 % from £14.4 million a year earlier), while realised revenue slipped to £14.0 million (down 7 % from £15.0 million). Operating profit dropped sharply to £0.1 million, compared to £0.7 million in the prior period—though excluding fair value write‑downs tied to the company’s truck‑cartel portfolio, underlying profit stood at £2.0 million.

The business completed 146 cases during the period (up 7 % year‑on‑year) and signed 146 new case investments (up nearly 16 %). Live cases rose to 446 from 413 a year earlier, and the total estimated settlement value of new cases signed in the period was claimed to be 31 % ahead of the prior year. Cash receipts were flat at about £14.5 million, while net debt improved to £10.8 million (down from £11.9 million). The company’s cash balance nearly doubled to £1.1 million.

In its commentary, Manolete emphasises the buoyant UK insolvency backdrop — particularly the rise of Creditors’ Voluntary Liquidations and HMRC‑driven petitions — as a tailwind for growth. However, the board notes the first half was impacted by a lower‑than‑average settlement value and a “quiet summer”, though trading picked up in September and October. The firm remains confident of stronger average settlement values and a weighting of realised revenues toward the second half of the year.