Use of AI is expected to grow significantly over the next five years, driven by the potential for efficiencies. Principal current uses of AI include factual and legal research, data analytics and document review. AI assistance in drafting and in evaluating legal arguments is also expected to increase, but there are concerns around accuracy, ethical issues, and AI's ability to handle complex legal reasoning.
AI in international arbitration
90%
of respondents expect to use AI for research, data analytics and document review
54%
say saving time is the biggest driver for use of AI
51%
say the main obstacle is the risk of AI errors and bias
- The principal drivers for the increased use of AI in international arbitration are saving party and counsel time (54%), cost reduction (44%) and reduction of human error (39%).
- At present, the principal obstacles to the greater use of AI in international arbitration are concerns about errors and bias (51%), confidentiality risks (47%), lack of experience (44%) and regulatory gaps (38%).
- Respondents largely approve of the use of AI by arbitrators to assist in administrative and procedural tasks. There is strong resistance, however, to its use for tasks requiring the exercise of discretion and judgment, which are fundamental aspects of the mandate given to arbitrators.
- The general consensus is that over the next five years, international arbitration and its users will adopt, and adapt to, AI. For now, the enthusiasm for greater use is tempered, however, by the desire for transparency, clear guidelines and training on the use of AI.