This session explored how artificial intelligence is reshaping legal education, early careers, and the skills required to succeed in the profession. The discussion featured George Hannah, a solicitor apprentice at a City law firm, who provided a first-hand perspective on entering law through a non-traditional route and developing alongside rapidly evolving technology.

A New Route into Law

Hannah outlined his decision to pursue a solicitor apprenticeship rather than a traditional university pathway. The appeal lay in combining practical experience with structured learning, avoiding the cost and perceived inefficiencies of conventional legal education. His experience reflects a broader shift: alternative qualification routes are becoming more visible and viable, particularly as firms reassess how they attract and develop talent.

The application process itself highlighted changing expectations. Video interviews, rapid-response questions, and scenario-based assessments increasingly test not just knowledge, but adaptability, communication, and judgement under pressure. These are skills that mirror real legal practice, where ambiguity and time constraints are constant.

From Knowledge to Differentiation

A central theme was the impact of AI on the traditional value proposition of lawyers. Historically, legal professionals were valued for their access to specialist knowledge. AI has disrupted this model by democratising access to information, making high-quality answers widely available.

Hannah emphasised that knowledge alone is no longer sufficient. Differentiation now lies in areas such as:

• Personal brand and visibility
• Curiosity and willingness to engage with new technologies
• Emotional intelligence and client understanding
• Business development and commercial awareness

This shift reframes what were once considered “soft skills” as core professional capabilities. The ability to originate work, build relationships, and demonstrate value is becoming more important earlier in a lawyer’s career.

AI in Practice: Opportunity and Discipline

Hannah described his practical use of AI tools, both as a student and within his firm. While tools can accelerate tasks such as drafting emails or amending documents, their output is often incomplete—“a seven out of ten”. The remaining gap requires human judgment, contextual understanding, and verification.

A key insight was the importance of disciplined use. Hannah highlighted the value of:

• Completing tasks manually before using AI
• Comparing AI outputs with independent work
• Cross-checking against precedents and authoritative sources

This approach ensures that junior lawyers develop a foundational understanding rather than becoming over-reliant on tools. Without this grounding, it becomes difficult to assess whether AI outputs are accurate or appropriate.

The Risk of Over-Reliance

The session addressed growing concerns about excessive dependence on AI, particularly among early-career professionals. Examples included:

• Homogenised CVs and applications generated using similar prompts
• Reduced ability to think critically or independently
• Difficulty distinguishing high-quality work from superficial outputs

Firms are increasingly alert to these risks. While AI competence is expected, so too is evidence of original thinking and personal insight.

The Emerging Bottleneck

One of the most significant operational challenges discussed was the emerging “review bottleneck”. AI enables junior lawyers to produce work more quickly, but senior lawyers still bear responsibility for verification and sign-off.

If review processes are not equally enhanced, this creates inefficiencies:

• Increased volume of draft work
• Limited capacity at senior levels to review thoroughly
• Potential risks if verification is rushed or incomplete

Hannah suggested that making work easily verifiable, through clear reasoning, sources, and transparency, can help mitigate this issue.

Training Gap and Cultural Shift

Despite widespread adoption of AI tools, formal training remains limited. Many firms and institutions provide access to tools but little structured guidance on how to use them effectively.

This “learn by playing” approach marks a significant cultural shift from traditional legal training, which has historically been highly structured and risk-averse. While it creates opportunities for proactive individuals, it also introduces inconsistency and potential risk.

There is a clear need for:

• Structured AI training programmes
• Safe environments for experimentation
• Integration of AI into legal education curricula

Confidentiality and Risk Management

The discussion also highlighted serious concerns around confidentiality and privilege. The use of public AI tools without enterprise-level protections can expose sensitive client information.

Key risks include:

• Loss of legal privilege
• Data leakage through public models
• Inconsistent access to secure tools across firms

Cost barriers may exacerbate this issue, particularly where access to enterprise solutions is limited. This creates a tension between innovation and risk management that firms must address urgently.

A Generational Shift

Hannah represents a new generation of legal professionals who are simultaneously learning law and technology. This cohort is:

• More comfortable experimenting with tools
• More aware of the importance of visibility and personal brand
• Less bound by traditional career pathways

However, the session made clear that success will depend not just on adopting AI, but on using it responsibly and intelligently.

Key Takeaways

• AI is shifting the value of legal work from knowledge to judgment, relationships, and differentiation
• Foundational legal understanding remains essential to validate AI outputs
• Over-reliance on AI risks weakening core skills and reducing individuality
• Firms face operational challenges, particularly around review and verification
• There is a significant gap in structured AI training across the profession
• Confidentiality and privilege risks must be actively managed
• The next generation of lawyers will need to balance technical fluency with human expertise