Thomson Reuters has published new research on generative AI that gauged the sentiment of professionals across legal, tax, and accounting firms in the United States, United Kingdom, and Canada. The research sought to better understand how the technology is perceived and applied within the professional services industry. The report uncovered a mix of optimism and caution in the adoption of generative AI.
Commenting on this, Thomson Reuters president and CEO, Steve Hasker, said: “Generative AI has the capacity to disrupt and redefine the professional landscape, but it is clear from our findings that there is a trust gap with professionals.
“The future of professional work is set to be revolutionised by generative AI, and as an industry, we need to work together to find the right balance between the benefits of technology and any unintended consequences. We believe this will help our customers to first trust the transformative power of generative AI, and then harness the opportunity to shape the future of their professions.”
Amongst the professionals surveyed, the potential of generative AI is undeniably recognised; 78% of respondents believe generative AI tools such as ChatGPT can enhance legal or accounting work, with the proportion slightly higher for legal (82%) than for tax (73%). Furthermore, about half (52%) of all respondents believe that generative AI should be used for legal and tax work.
However, despite the research sharing strong feelings about generative AI’s potential utility, many within the legal and tax fields are still weighing their options before adopting the technology. Only 4% of respondents are currently using generative AI in their operations, with an additional 5% planning to do so. Interestingly, tax and accounting firms are more open to the idea, with a 15% adoption or planned adoption rate.
Among those who have adopted or are planning to adopt generative AI technologies, research was the primary use case cited by respondents; about two-thirds of those in corporate legal and 80% of those in tax identified it as the most compelling use. Knowledge management, back-office functions, and question answering services were also cited as use cases of interest.
Risk perception seems to be the major stumbling block in the adoption of generative AI tools. A significant 69% of respondents expressed risk concerns, suggesting that fear may be holding back a more widespread adoption. While the potential of generative AI tools is recognised, there is an air of uncertainty, underlining the need for establishing trust, as well as furthering education and strategic planning in its implementation.
Despite concerns around the risks to privacy, security, and accuracy, very few organisations are actively taking steps to limit the use of generative AI among employees. Twenty percent of respondents said their firm or company has warned employees against the unauthorised use of generative AI at work. Only 9% of all respondents, meanwhile, reported their organisation had banned the unauthorised use of generative AI.