Montana Lawyer June/July 2025

transparency and collaboration in the integration process. Attorneys were keen to understand how Gen AI would complement their roles without diminishing the value of their expertise. While 75% of respondents were optimistic about the potential efficiency gains, they were equally vocal about the importance of maintaining high professional standards. For instance, they advocated for policies ensuring that any outputs generated by Gen AI undergo careful review and refinement by human attorneys. The survey highlighted additional nuances in staff expecta tions and experiences. Attorneys who had experimented with Gen AI noted that it excelled in producing quick, rough drafts for standard documents, which could then be tailored to specific cases. However, they emphasized that its role should remain supportive rather than primary, with human judg ment steering its use. Interestingly, no significant difference was found between how Gen AI was used remotely versus in the office, demonstrating flexibility in its application. The findings also suggested broader institutional needs. While some attorneys praised Gen AI’s ability to handle routine tasks, others pointed out inefficiencies stemming from a lack of standardized best practices. This gap presents an op portunity for the firm to lead with clear policies and targeted training, ensuring that all staff can benefit equally from the technology. By conducting these surveys and focus groups, the firm identified critical areas for intervention, including the need for robust training programs, ethical guidelines, and strate gies to address staff concerns about role displacement. These insights laid the groundwork for a thoughtful, data-driven Gen AI integration strategy that aligned with both the firm’s operational goals and its commitment to professional excel lence. This case demonstrates that listening to employees and addressing their specific concerns and aspirations is a key step in successfully integrating transformative technologies like Gen AI. Training should address three core areas: tech nical functionality, ethical considerations, and workflow adaptation.

Providing Training and Education on Gen AI in Law Successful integration of Gen AI depends on the techni cal competence and ethical awareness of a firm’s employees. Training and education are therefore essential. Law firms should design programs tailored to different roles within the organization, ensuring that attorneys, paralegals, and administrative staff are equipped to use Gen AI responsibly and effectively. Training should address three core areas: technical functionality, ethical considerations, and workflow adaptation. Technical training should familiarize employees with the capabilities and limitations of the specific Gen AI tools being implemented. For example, they should learn how to interpret AI-generated outputs, refine prompts for improved results, and detect errors in the system’s responses. Ethical training should highlight issues such as confidentiality, bias, and the necessity of human oversight. Case studies—such as incidents where lawyers faced sanctions for unverified reliance on Gen AI—can underscore the importance of adhering to profes sional standards. Finally, training should demonstrate how Gen AI fits into existing workflows, clarifying how it comple ments traditional legal practices and enhances productivity. Ongoing education is also critical as Gen AI tools evolve. Firms should invest in regular workshops or online modules to keep employees updated on new features, industry devel opments, and best practices. This commitment to continuous learning ensures that the workforce remains competent and confident in leveraging Gen AI effectively. Developing clear policies around the use of Gen AI is critical to maintaining accountability and minimizing risks. Establishing Clear Policies and Oversight for Gen AI in Law Developing clear policies around the use of Gen AI is criti cal to maintaining accountability and minimizing risks. These policies should outline acceptable and unacceptable uses of Gen AI, ensuring consistency across the firm. For instance,

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