Small firms can use generative AI safely by adopting tools with clear data-handling practices and by limiting use to appropriate tasks such as drafting assistance and internal research. The key is to understand where the data you input goes and, relatedly, how the responses are generated. Independent advice can help determine what is proportionate and defensible for a particular practice.

Tools that integrate with existing workflows and require minimal configuration are generally most appropriate for sole practitioners. The focus should be on reliability, transparency, and risk control rather than advanced features designed for large firms. It is critical to appreciate that tools that have been developed for large practices may not be useful or appropriate in small practices or for small practitioners. (This is exactly why Endura was started!) What is suitable will depend on your practice area, budget, jurisdiction, and level of technical expertise. Just as there is not a one-size-fits-all solution across large and small firms, the same is true across small firms.

If generative AI is used without appreciating, even at a basic level, how the system works or where the answers may come from, there are a number of substantial risks. Even in jurisdictions where AI use is permitted in legal practice, risks include inaccuracies, fabricated citations, inappropriate tone, and inadvertent disclosure of confidential information. These risks increase when AI output is relied on without careful review or when tools are used outside their intended scope. Verification of AI output is required to be built into the process of use in a way that ensures maximum benefit to the practitioner whilst minimising any risks. Structured guidance can help ensure drafting support is used safely and effectively.

The vast excitement that surrounds AI can be driven by, or describe, the use of the technologies in large firms. Many of the most frequently discussed AI solutions are designed for large firms with dedicated resources, budgets, and governance structures. These tools may be overly complex or costly for small practices and can introduce unnecessary risk. This does not mean small firms cannot benefit from using the power of AI or other technologies in order to make their practice more efficient. Small firms often benefit more from simpler, well-understood tools used in a controlled way. By taking the time to understand each firm’s need, Endura develops a solution that ensures the most effective and efficient technology solutions are used.

Lawyers need training that focuses on appropriate use, limitations, and risk management rather than deep technical detail. Being efficient and effective in the use of AI and technology requires an initial understanding of the best technologies to use, before then understanding what the potential risks of that technology’s use may be. Training then embeds good practice to ensure the technology can be used both effectively and in a way that minimises risk. Embedding good practice through training ensures understanding and minimises risk. Effective training builds confidence and consistency across a practice. This is particularly important where multiple practitioners or staff members are involved.

Obviously, Endura provides this sort of advice. However, regardless of whether any small firm that seeks technology or AI advice comes to Endura, it is essential that their advice comes from someone with experience in legal practice, legal regulation, and AI systems, rather than from technology vendors. Such advice helps ensure that adoption decisions are aligned with professional obligations and practical constraints. This independence is especially valuable for small firms and sole practitioners.

No. Endura only receives funds from its clients for the services that are provided to them. This approach is essential to ensure that the advice that is provided is independent and in the absolute best interest of the client.

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