AI and Access to Justice: Promise vs Reality

Garfield's 7.50 GBP legal letters demonstrate real impact, but limitations persist

The 7.50 GBP letter before action has become the symbol of AI's potential to democratize legal services. Garfield, the first SRA-authorized law firm whose offering is solely provided by AI, has delivered measurable results in small claims. But the gap between this narrow success and the broader access-to-justice crisis remains substantial.

The Garfield Model

In 2025, the Solicitors Regulation Authority authorized Garfield as the first AI-only law firm in the UK. SRA chief executive Paul Philip called it "a landmark moment for legal services in this country."

The pricing structure challenges traditional economics:

Polite chaser letter: 2 GBP
Letter before action: 7.50 GBP
Full small claims representation: 100 GBP + VAT

Compare this to the Channel 4 Dispatches experiment, where traditional legal services quoted 1,080 GBP for the same work that Garfield completed for 100 GBP + VAT. A senior solicitor judging the blind comparison deemed Garfield's court documents "acceptable in a court of law."

Documented Results

The platform's track record includes widely reported outcomes:

7,000 GBP debt recovery for 7.50 GBP in professional fees
Document generation that passed blind quality assessment
Automated handling of limitation period checks, claim validity assessment, and pre-action letter generation

If unpaid, the system drafts and submits claim forms, replies to admissions or defenses, handles counterclaims, manages document production, prepares trial bundles, and drafts skeleton arguments.

Judicial Endorsement

Lord Justice Birss, deputy head of civil justice, highlighted Garfield's technology as "absolutely at the core of what we can do for access to justice." This judicial backing matters because it signals that courts may be receptive to AI-assisted filings, reducing the risk that such documents face additional scrutiny.

The Market Gap

Garfield targets a specific niche: high-volume, low-value disputes where traditional representation economics break down. Civil justice statistics show small claims take nearly 50 weeks to reach trial on average. The Ministry of Justice reported over 1.73 million county court claims in 2024.

Most of these claims proceed without professional assistance because the amounts at stake do not justify legal fees. A business owed 5,000 GBP cannot economically spend 1,000+ GBP on recovery. The AI model changes this calculation.

Other UK Entrants

CaseCraft AI has secured 550,000 GBP in funding to address similar market gaps. The platform automates document drafting, deadline tracking, and procedural guidance for small claims.

Both services reflect a broader pattern: AI investment flowing toward underserved legal markets that traditional firms cannot profitably address.

Limitations and Concerns

Several factors constrain AI's access-to-justice impact:

Scope: Garfield currently handles debt recovery under 10,000 GBP and is exploring housing disrepair claims. Complex matters, contested facts, and novel legal questions remain outside the scope.

Digital divide: Users must have digital literacy and internet access. The populations most in need of legal assistance often face technology barriers.

Appeals and complications: When matters become procedurally complex, AI systems may reach their limits. The transition from automated to human assistance is not always smooth.

Accountability: If AI-generated documents cause harm, the liability framework remains unsettled. Indemnification and insurance coverage require ongoing development.

The ABA Perspective

The ABA Task Force Year 2 Report found more than 100 documented AI use cases in legal aid settings. The report characterizes generative AI as "beginning to demonstrate real potential to expand access to legal help."

Key developments include:

Increased productivity at legal aid organizations
Direct delivery of understandable legal information to self-represented litigants
AI-assisted document preparation for pro se filers

What AI Cannot Fix

The access-to-justice gap has structural causes that technology alone cannot address:

Litigation costs beyond legal fees (court filing fees, time off work, childcare)
Power imbalances between represented and unrepresented parties
Complexity of substantive law that resists simplification
Emotional and psychological barriers to pursuing claims

AI addresses the professional fee component of access-to-justice barriers. Other barriers require policy interventions beyond technology.

Measuring Impact

Meaningful access-to-justice metrics should track:

Volume of matters handled that would otherwise go unrepresented
Outcomes compared to traditional representation
User satisfaction and comprehension
Error rates and correction processes
Cost per resolved dispute

Garfield and similar services are generating these data points. The evidence base for AI's access-to-justice impact is growing but remains limited.

The Realistic Assessment

AI-powered legal services are not hype when applied to appropriate use cases. 7.50 GBP letters before action deliver genuine value to users who previously had no economically viable option.

But AI is not a comprehensive solution to the access-to-justice crisis. It is a tool that addresses specific cost barriers in specific contexts. Expecting it to solve systemic legal system failures sets up disappointment.

The honest framing: AI can expand access at the margins where cost is the primary barrier and matters fit standardized processes. That is valuable. It is also limited.

Key Takeaways

Garfield charges 7.50 GBP for letters before action vs 1,000+ GBP for traditional legal services
SRA authorization marks the first AI-only law firm in the UK
Civil justice statistics show 1.73 million county court claims annually, most without professional assistance
ABA Task Force documents 100+ AI use cases in legal aid settings
AI addresses cost barriers but cannot solve structural access-to-justice issues like digital divide or substantive complexity