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Access to Justice in the AI Era: Who Funds the Fight?

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Abstract illustration of AI with silhouette head full of eyes, symbolizing observation and technology.

Introduction

The global legal system is undergoing a profound transformation driven by the rapid and pervasive rise of Artificial Intelligence (AI). The expansion of AI technologies has not only reshaped economic markets and innovation cycles but has also produced a new generation of legal disputes that are distinctly more complex, cross-sectoral, and technically demanding. These disputes often involve entangled questions of intellectual property, autonomous decision-making, algorithmic liability, data rights, and the governance of increasingly opaque black-box systems.

In this new landscape, one question becomes paramount:
Who can afford to challenge AI giants?

The cost of litigating an AI-related dispute is often prohibitive for individuals, developers, small companies, or employees. The imbalance of resources between vulnerable claimants and financially dominant AI corporations creates a structural barrier to justice.

Here, Third-Party Litigation Funding (TPLF) emerges not merely as a financial tool but as a structural mechanism for restoring access to justice — especially in the United Arab Emirates (UAE), where the coexistence of civil-law courts (onshore), and two sophisticated common-law jurisdictions (DIFC and ADGM), creates a unique and fertile environment for litigation funding innovation.

As the UAE’s first dedicated non-recourse litigation funding firm, WinJustice stands at the center of this transformation, supporting those who must confront powerful AI entities but lack the means to do so. This research paper provides a deep, doctoral-level analysis of the philosophical, economic, legal, and regulatory foundations of access to justice in the AI era — and the essential role of litigation funding.

I. Rethinking Access to Justice in the Age of Artificial Intelligence

1. Access to Justice as a Foundational Legal Principle

In traditional legal theory, access to justice is a cornerstone of procedural fairness and the legitimacy of the state. Historically, barriers to justice were mitigated through structural reforms: the abolition of “maintenance” and “champerty” doctrines in England, the legalization of Conditional Fee Agreements (CFAs) under the Courts and Legal Services Act 1990, and the extensive reforms under the Access to Justice Act 1999.

These reforms acknowledged the imbalance faced by individuals litigating against wealthy corporations and paved the way for the rise of modern litigation funding.

2. AI as a Catalyst for New Inequalities

AI has created an unprecedented asymmetry in legal processes due to:

  • the technical opacity of algorithms,
  • the volume and complexity of digital evidence,
  • the financial power of global AI companies,
  • cross-border data governance issues, and
  • novel forms of harm that lack clear precedent.

AI disputes often require:

  • source-code audits,
  • expert testimony in machine learning,
  • computational forensics,
  • economic modelling of algorithmic harm,
  • and comparative regulatory analysis.

The cost of such litigation can be insurmountable for individuals or SMEs, effectively closing the courts to anyone who cannot pay the price of entry.

Thus, access to justice — in the AI era — becomes inseparable from access to funding.

II. Why Individuals Cannot Independently Litigate Against AI Corporations

1. The Unprecedented Cost of AI-Related Litigation

AI-focused disputes involve layers of cost that far exceed traditional commercial litigation:

  • algorithmic testing & reverse engineering,
  • forensic data analysis,
  • multidisciplinary expert reports,
  • high-level technical counsel,
  • and long, discovery-heavy court processes.

In the United States, the average cost of a funded commercial dispute often exceeds USD 10 million, with AI cases trending even higher.

This renders litigation financially inaccessible for most claimants.

2. Structural Power Asymmetry: “Asymmetric Litigation Power”

AI corporations not only possess immense financial strength but also deploy litigation strategies intentionally designed to exhaust opponents:

  • extended appeals
  • procedural delays
  • expansive discovery demands
  • use of elite international counsel

Litigation theory describes this as Asymmetric Litigation Power — a condition in which one party’s financial superiority undermines substantive justice.

Litigation funding was historically created to correct precisely this imbalance, enabling weaker parties to litigate meritorious claims without financial ruin.

AI simply amplifies the structural inequality.

III. The Legal Framework for Litigation Funding in the UAE — and Its Relevance to AI Disputes

1. ADGM: A World-Class Regulatory Environment for Litigation Funding

The ADGM Litigation Funding Rules (2019) represent one of the most advanced regulatory frameworks globally. They require:

  • written funding agreements,
  • clarity on funding scope and cost recovery,
  • obligations to preserve privilege,
  • strict confidentiality,
  • and explicit safeguards to prevent funder control.

This makes ADGM uniquely attractive for high-value AI disputes.

2. DIFC: Transparency and Structured Disclosure

Under DIFC’s Practice Direction No. 2 of 2017, funded parties must disclose:

  • the existence of the funding agreement, and
  • the identity of the funder.

This reinforces trust and predictability in funded AI litigation.

3. Onshore UAE: Compliance with Sharia & Public Interest Principles

Although onshore UAE lacks explicit TPLF regulations, the practice is allowed as long as agreements adhere to:

  • principles of good faith,
  • absence of uncertainty (gharar), and
  • contribution to maslaha (public interest).

AI disputes — often involving rights violations and power asymmetries — fall squarely within “public interest,” making funding ethically aligned with Sharia and UAE legal philosophy.

IV. Litigation Funding as a Mechanism for Restoring Balance in AI Disputes

1. Law & Economics Perspective: Correcting Market Failures

According to Law & Economics theory, when litigation costs exceed the claimant’s ability to pay — regardless of the merit of the claim — the market for justice fails. Litigation funding corrects this failure by redistributing financial risk.

2. Critical Legal Studies: Challenging Corporate Power Structures

From a critical legal perspective, AI companies represent concentrated power with the ability to dictate legal outcomes through economic dominance. TPLF becomes not only a financial instrument but an institutional check on private power.

3. AI-Specific Claims that Require Funding

TPLF is essential in disputes involving:

  • misappropriation of source code or machine-learning models,
  • unauthorized use of training datasets,
  • wage theft and unfair labor practices in AI development,
  • AI-generated defamation or reputational harm,
  • data-protection violations by autonomous systems,
  • algorithmic bias causing economic or personal damage.

Such disputes demand specialized funding frameworks similar to those already dominant in commercial litigation portfolios across the US and UK.

4. Advanced Funding Models for AI Litigation

Emerging models include:

  • Portfolio funding for AI start-ups,
  • Developer protection funding (employees & freelancers),
  • IP-based litigation finance,
  • Data-rights collective actions,
  • Cross-border regulatory enforcement funding.

AI cases are ideal for these models due to their high value, high complexity, and systemic importance.

V. WinJustice’s Role in Enabling Access to Justice in AI Disputes

1. A Pure Non-Recourse Model

WinJustice applies a strict non-recourse approach:

  • WinJustice pays all litigation costs,
  • the client pays nothing upfront,
  • if the case is unsuccessful, the claimant owes zero.

This aligns with global best practices and provides maximum protection in high-risk AI disputes.

2. Strategic, Technical, and Legal Expertise

WinJustice’s methodology integrates:

  • deep litigation analysis,
  • multidisciplinary technical assessment,
  • expert economic modelling,
  • confidential second-opinion reviews,
  • and coordination with international law firms.

3. Exceptional Alignment with UAE Jurisdictions

WinJustice is uniquely positioned within the UAE legal ecosystem:

  • ADGM: compliant with advanced rules and disclosure duties
  • DIFC: aligned with transparency and practitioner codes
  • Onshore UAE: adherence to Sharia principles of fairness and public benefit

4. Protecting Individuals Against AI Giants

By absorbing financial risk and deploying specialized legal-technical expertise, WinJustice transforms asymmetric AI disputes into balanced, winnable cases.

Conclusion

Artificial Intelligence is rewriting the rules of economic power and legal responsibility. As disputes grow in scale, complexity, and cross-border depth, the divide between those who can afford to litigate and those who cannot widens dangerously.

Litigation funding emerges as the key structural solution — not merely as a financial product, but as a foundational pillar of justice in the AI era.

WinJustice stands at the forefront of this shift, rewriting what it means to access justice by empowering individuals, SMEs, developers, and innovators to challenge the world’s most powerful AI companies.

In the twenty-first century, justice is no longer just about the strength of a claim —
it is about the strength of the resources behind it.
WinJustice ensures those resources are finally within reach.

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