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The Secret to Success with Trade Secrets – 5 Factors That Litigation Funders Should Consider When Evaluating Trade Secrets Cases

The Secret to Success with Trade Secrets – 5 Factors That Litigation Funders Should Consider When Evaluating Trade Secrets Cases

The following article is a contribution from Ben Quarmby and Jonathan E. Barbee, Partner and Counsel at MoloLamken LLP, respectively.  Litigation funders have trade secrets on their minds.  Since the introduction of the Defend Trade Secrets Act (DTSA) in 2016, trade secrets litigation has been on the rise.  Over a thousand trade secrets cases were filed in federal court in both 2021 and 2022.  By all accounts, that trend is set to continue.  Big verdicts have followed, with some trade secrets verdicts now rivaling the biggest patent verdicts.  In the information age, a company’s most valuable intellectual property may not be its patents after all, but the wealth of non-patented, proprietary information surrounding its ideas—its trade secrets. Trade secrets cases can be more attractive to litigation funders than patent cases.  The funding of patent deals is regularly scuttled by patent expirations, validity concerns (especially Section 101 patent eligibility concerns), the threat of inter partes reviews (IPRs) at the United States Patent and Trademark Office, and the perceived focus of the Federal Circuit on reversing the largest patent verdicts that come before it.  Trade secrets side-step many of these issues.  They do not expire.  They are less likely to be sunk by an obscure prior art reference.  They are not subject to IPR proceedings.  And they are generally not subject to scrutiny by the Federal Circuit.  They also offer many of the same benefits to plaintiffs as patent cases: they too can be rooted in invention stories that will resonate with juries and lead to exemplary damages. They offer their own challenges, of course.  Unlike patent cases, there is no “innocent” misappropriation with trade secrets.  A defendant must often come into contact with the plaintiff’s trade secrets for a claim to arise.  Successful trade secret claims usually require a chain of events that put the trade secrets in the hands of the defendant.  Patent plaintiffs do not face those hurdles. Finding promising trade secrets cases requires identifying the types of companies that will regularly find themselves in situations that lead to trade secret misappropriation: joint ventures, startups seeking investment by larger industry players, acquisition targets, and companies operating in industries with high employee turnover and mobility.  And once those cases are found, performing due diligence on them requires a very specific type of focus. The following steps are critical:
  • Identify the Trade Secrets. Ensure at the outset that there are clean, concrete, and well-defined trade secrets to assert.  In some jurisdictions, plaintiffs must identify their trade secrets before proceeding with discovery—failure to do so with sufficient precision can stop the litigation dead in its tracks.  If plaintiffs can clearly identify the form of the trade secrets (e.g., scientific data, customer lists, product recipes, hard copy documents, etc.), the chain of custody for those trade secrets, and any changes made to the trade secrets over time, their case is far more likely to withstand the test of litigation.
  • Verify the Plaintiff’s Protective Measures. Defendants will generally argue that a plaintiff has not taken adequate steps to protect its trade secrets.  You need a clean and clear story to tell about the steps a plaintiff has taken to protect its intellectual property.  Tangible evidence of such steps—company policies, firewalls, passwords—is invaluable.  And there should be a narrow or controlled universe of third parties—if any—with whom the information has been shared.  Each additional third party with access to the information can increase the uncertainty surrounding the trade secrets and affect the value of the case.
  • Estimate the Value of Trade Secrets. Calculating damages in trade secrets cases can be trickier than in patent cases.  It is harder to find comparable licenses or valuations for similar types of trade secrets since trade secrets are just that—secret.  There are also fewer established damages methodologies in trade secrets cases.  While this allows for more flexibility and creativity in crafting a damages theory, it can also make trade secret damages susceptible to challenges.  The Georgia-Pacific factors used so often in patent cases can help determine reasonable royalty rates in trade secrets cases, but courts have yet to adopt those factors as the definitive standard for trade secrets.  In conducting due diligence, hire a damages expert to estimate the value of trade secrets before filing a case.
  • Assess the Value of Injunctive Relief. Trade secrets cases are often better candidates for injunctive relief than patent cases.  Determine the strength of a case’s injunctive relief prospects early on.  The likelihood of injunctive relief has to be factored into the economic value of a trade secrets case, since it will directly impact the likelihood of early settlement.
  • Determine the Narrative. Storytelling matters in every IP case.  But it perhaps matters in trade secrets cases even more so.  It is imperative to have reliable witnesses who can illustrate the plaintiff’s narrative in a compelling and clean way.  Test the potential witnesses before considering funding.  Let them tell their story—and challenge that story—under conditions that will most closely approximate those at trial.  Attractive cases should tell a persuasive story about how the trade secrets reflect plaintiffs’ know-how, experience, and competitive edge, and also expose the motives for defendants to steal those trade secrets.
These considerations are a starting point.  Due diligence should be tailored to the particular facts and nuances of each potential trade secrets case.  Careful consideration of these factors will help ensure that funders make the wisest investments, while avoiding common pitfalls in trade secrets litigation.
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Uber Told £340m Group Claim Must Follow Costs Budgeting Rules

By John Freund |

In a notable ruling, the High Court has directed that a £340 million group action against Uber London Ltd will be subject to costs budgeting, despite the claim’s substantial size. The decision was handed down in the case of White & Ors v Uber London Ltd & Ors, where the total value of the claim far exceeds the £10 million threshold above which costs budgeting is typically not required under the Civil Procedure Rules.

According to Law Gazette, Mrs Justice O’Farrell chose to exercise judicial discretion to apply the budgeting regime. Her decision marks a significant moment for large-scale group litigation in England and Wales, underscoring the court’s growing interest in ensuring proportionality and transparency of legal costs—even in high-value cases.

An article in the Law Society Gazette reports that the ruling means the parties must now submit detailed estimates of incurred and anticipated legal costs, which will be reviewed and approved by the court. This move imposes a degree of cost control typically absent from group claims of this scale and signals a potential shift in how such cases are managed procedurally.

The decision carries important implications for the litigation funding industry. Funders underwriting group claims can no longer assume exemption from cost control measures based on claim size alone. The presence of court-approved cost budgets may impact the funders’ risk analysis and return expectations, potentially reshaping deal terms in high-value group actions. This development could prompt more cautious engagement from funders and a closer examination of litigation strategy in similar collective proceedings moving forward.

Will Law Firms Become the Biggest Power Users of AI Voice Agents?

By Kris Altiere |

The following article was contributed by Kris Altiere, US Head of Marketing for Moneypenny.

A new cross-industry study from Moneypenny suggests that while some sectors are treading carefully with AI-powered voice technology, the legal industry is emerging as a surprisingly enthusiastic adopter. In fact, 74% of legal firms surveyed said they are already embracing AI Voice Agents , the highest adoption rate across all industries polled.

This may seem counterintuitive for a profession built on human judgement, nuance and discretion. But the research highlights a growing shift: law firms are leaning on AI not to replace human contact, but to protect it.


Why Legal Is Leaning In: Efficiency Without Eroding Trust

Legal respondents identified labor savings (50%) as the most compelling benefit of AI Voice Agents.  But behind that topline number sits a deeper story:

  • Firms are increasingly flooded with routine enquiries.
  • Clients still expect immediate, professional responses.
  • Staff time is too valuable to spend triaging logistics.

Kris Altiere, US Head of Marketing at Moneypenny, said:
“Some companies and callers are understandably a little nervous about how AI Voice Agents might change the call experience. That’s why it’s so important to design them carefully so interactions feel personal, relevant, and tailored to the specific industry and situation. By taking on the routine parts of a call, an AI agent frees up real people to handle the conversations that are more complex, sensitive, or high-value.”

For the legal sector, that balance is particularly valuable.

A Look At Other Industries

Hospitality stands out as the most reluctant adopter, with only 22% of companies using AI-powered virtual reception for inbound calls and 43% exploring AI Voice Agents.
By contrast, the legal sector’s 74% engagement suggests a profession increasingly comfortable pairing traditional client care with modern efficiency.

The difference stems from call types: whereas hospitality relies heavily on emotional warmth, legal calls hinge on accuracy, confidentiality, and rapid routing areas where well-calibrated AI excels.

What Legal Firms Want Most From AI Voice Agents

The research reveals where legal sees the greatest potential for AI voice technology:

  • Healthcare: faster response times (75%)
  • Hospitality: reducing service costs (67%)
  • Real estate: enhanced call quality and lead qualification (50%)
  • Finance: 24/7 availability (45%), improved caller satisfaction (44%), scalability (43%)

Legal’s top future use case is appointment management (53%).

This aligns neatly with the administrative pain points most firms face,  juggling court dates, consultations and multi-lawyer calendars.

Each industry also had high expectations for AI Voice Agent features, from natural interruption handling to configurable escalation rules.
For legal, data security and compliance topped the list at 63%.

This security-first mindset is unsurprising in a sector where reputation and confidentiality are non-negotiable.

Among legal companies, 42% said that integration with existing IT systems like CRM or helpdesk tools was critical.

This points to a broader shift: law firms increasingly want AI not just as a call handler but as part of the client-intake and workflow ecosystem.

The Bigger Trend: AI to Protect Human Time

Across every industry surveyed, one theme is emerging: companies don’t want AI to replace humans ,they want it to give humans back the time to handle what matters.

For legal teams, this means freeing lawyers and support staff from constant call-handling so they can focus on high-value, sensitive work.

Why This Matters for Law Firms in 2025

The AI adoption race in legal is no longer about novelty; it’s about staying competitive.

Clients expect real-time responses, yet firms are constrained by staffing and increasing administrative load. Well-designed AI Voice Agents offer a way to protect responsiveness without compromising on professionalism or security.

With compliance pressures rising, talent shortages ongoing, and client acquisition becoming more competitive, the research suggests law firms are turning to AI as a strategic solution and not a shortcut.

Moneypenny’s Perspective

Moneypenny, a leader in customer communication solutions, recently launched its new AI Voice Agent following the success of an extensive beta program. The next-generation virtual assistant speaks naturally with callers, giving businesses greater flexibility in how they manage customer conversations.

LSB Launches Oversight Programme Targeting Litigation Growth

By John Freund |

The Legal Services Board (LSB) has unveiled a new consumer‑protection initiative to address mounting concerns in the UK legal market linked to volume litigation, law‑firm consolidators and unregulated service providers. An article in Legal Futures reports that the regulator cited “clear evidence” of risks to consumers arising from the dramatic growth of volume litigation, pointing in particular to the collapse of firms such as SSB Law.

Legal Futures reports that under the programme, the LSB will explore whether the current regulatory framework adequately protects consumers from harm in mass‑litigation contexts. That includes examining: whether all litigation funding – especially portfolio funding models – should fall under the supervision of the Financial Conduct Authority (FCA); whether co‑regulation arrangements should be established between the FCA and the Solicitors Regulation Authority (SRA); and whether the list of reserved legal activities needs revision to account for the rise of unregulated providers and AI‑enabled legal services.

On the law‑firm side the initiative spotlights the consolidation trend — especially accumulator or “consolidator” firms backed by private equity and acquiring large numbers of clients. The LSB flagged risks around viability, quality of client care and short‑term investor‑driven growth at the expense of compliance and long‑term service stability.

For the litigation‑funding sector, the message is unmistakable: the regulator will be more active in mapping the relationships between funders, law firms and client outcomes. It intends to use its market‑intelligence function to monitor whether misaligned incentives in the funding‑chain may harm consumers, and to obtain data from frontline regulators where necessary.