This session explored the emergence of “vibe coding” in legal practice, a rapidly evolving approach that enables users to build applications using natural language prompts. Chris Bridges, partner and co-founder at Tacit Legal and co-creator of Vibe Code Law, outlined how this approach is reshaping how lawyers interact with technology, prototype solutions, and engage with legal tech vendors.
What is Vibe Coding?
Vibe coding refers to the use of AI tools to generate code and applications through conversational prompts. While the concept has existed for over a year, recent advances in AI capabilities have made it accessible to non-engineers. Bridges positioned it as a step beyond traditional prototyping tools such as Figma, enabling users to create functional applications rather than static mock-ups.
From Prototype to Practical Tool
A key advantage of vibe coding is speed. Users can build a basic application in minutes and a more refined prototype within hours. However, Bridges emphasised that the value lies less in the finished product and more in the process, enhancing understanding of technology, encouraging experimentation, and improving communication of requirements.
Use Cases in Legal Practice
Several early use cases are emerging across the legal sector:
- Training tools: AI-powered simulations for junior lawyers, including negotiation practice environments
- Access to justice: Applications simplifying processes such as visa applications or tenancy reviews
- Internal efficiency tools: Lightweight solutions addressing specific workflow challenges
These applications are typically low-risk and avoid sensitive data, making them ideal entry points for experimentation.
Adoption Patterns
Interestingly, in-house legal teams are adopting vibe coding more quickly than private practice lawyers. This may reflect fewer concerns around billable time or perceived competitive threats. Law firms, however, are showing growing interest through workshops and hackathons, suggesting broader adoption is likely.
Tools and Accessibility
A range of tools support vibe coding, from beginner-friendly platforms such as Google AI Studio (often free) to more advanced environments like Replit, Lovable, Claude Code, and Codex. Costs vary, with more advanced usage potentially becoming expensive depending on frequency and complexity.
Security and Limitations
Security remains a critical constraint. Bridges strongly advised against using vibe-coded applications for handling real client data without proper safeguards. At present, the technology is best suited for prototyping rather than production-grade systems. Dummy data can be generated using AI tools for testing purposes.
Impact on Legal Tech and Procurement
Rather than replacing legal tech vendors, vibe coding enhances collaboration. Firms can present working prototypes instead of lengthy requirement documents, improving clarity and accelerating procurement processes. This shift may significantly improve communication between buyers and vendors.
Skills and Mindset Shift
Vibe coding reinforces emerging skillsets in legal practice, including creativity, systems thinking, and experimentation. Even when prototypes are not deployed, the learning process itself builds valuable capabilities for the future.
Looking Ahead
Bridges anticipates that vibe coding will become standard in software design workflows, replacing static prototypes with functional ones. However, it is unlikely to replace software engineers or legal professionals. The core value remains in human judgment, problem framing, and decision-making.
Most Important
- Vibe coding enables rapid, accessible prototyping using natural language
- It is most valuable as a learning and communication tool, not a production solution
- Early use cases focus on training, internal tools, and access to justice
- Security limitations mean caution is required with sensitive data
- It has strong potential to improve legal tech procurement and collaboration
- The real impact lies in a mindset shift, not automation alone
