The Inside View: Beyond the Hype – GenAI in Legal Practice

Key Takeaways

• Travers Smith balances buying off‑the‑shelf tools with custom AI builds.
• GenAI is expected to increase, not decrease, lawyers' workload.
• Orchestration frameworks are essential for rapid yet controlled tech adoption.
• Legal firms must embed governance to mitigate AI‑driven compliance risks.
• Podcast highlights need for continuous skill‑upgrading as AI evolves.

Pulse Analysis

The legal sector is at a crossroads as generative AI moves from buzzword to operational tool. While venture capital poured billions into AI‑driven contract analysis and document automation in 2024‑25, firms quickly discovered that raw model output requires domain‑specific tuning and rigorous quality checks. Early adopters that treated AI as a plug‑and‑play solution faced accuracy gaps and client confidentiality concerns, prompting a shift toward more measured deployments that integrate AI with existing knowledge‑management systems.

Travers Smith’s approach, as described by CTO Olly Bethell, exemplifies a pragmatic "buy or build" calculus. The firm leverages commercial large‑language‑model APIs for baseline capabilities but invests in proprietary layers that embed firm‑specific taxonomies, jurisdictional rules, and ethical safeguards. This hybrid model balances speed—accessing cutting‑edge model improvements—with control, ensuring outputs align with professional standards and regulatory obligations. Other firms can learn from this by mapping AI use cases to risk tolerance, then deciding whether to customize in‑house or partner with vetted vendors.

Beyond technology selection, governance emerges as the decisive factor for sustainable AI integration. Bethell stresses that without clear orchestration—policy frameworks, audit trails, and cross‑functional oversight—firms risk regulatory breaches and reputational damage. Moreover, the misconception that AI will reduce attorney hours overlooks the reality that AI-generated drafts trigger new review cycles, data‑privacy assessments, and client‑communication tasks. Law firms that invest in continuous training, establish AI ethics committees, and embed compliance checkpoints will turn the perceived workload increase into a competitive advantage, delivering faster, higher‑quality counsel while maintaining client trust.