Law
GenAI
December 6, 2025
Recent advancements in artificial intelligence (AI) have led to the emergence of tools capable of matching or even surpassing human capabilities in contract drafting. A benchmarking study, Benchmarking Humans & AI in Contract Drafting, conducted by LegalBenchmarks.ai, has revealed that human lawyers produce reliable first drafts approximately 56.7% of the time. In stark contrast, several AI-driven applications have demonstrated higher reliability rates, with the leading tool, Gemini 2.5 Pro, achieving a remarkable 73.3% reliability, thereby marginally outperforming the best human lawyer, who had a reliability rate of 70%.
The study evaluated 13 AI tools against human lawyers through 30 real-world contract drafting tasks, assessing a total of 450 task outputs and surveying 72 legal professionals. The research aimed to measure three critical dimensions of performance: output reliability, usefulness, and workflow integration.
The primary objective of the original study was to provide a comprehensive assessment of AI tools in comparison to human lawyers in the context of contract drafting. This goal can be achieved through systematic benchmarking that evaluates these tools based on empirical data and professional feedback. By establishing a clear framework for assessment, stakeholders can better understand the capabilities and limitations of both AI and human contributions in the legal domain.
Despite these advantages, it is essential to acknowledge certain limitations. For instance, human lawyers demonstrated superior performance in complex tasks demanding commercial judgment and context management, such as interpreting client intent and integrating diverse information sources. Additionally, the subjective nature of evaluating usefulness and the rapidly evolving capabilities of AI tools introduce variables that may impact long-term assessments.
The rapid development of AI technology is poised to have profound implications for the legal profession. As AI tools continue to improve in reliability and functionality, they may increasingly become the preferred option for routine and low-risk contract drafting tasks. However, complex negotiations and tasks requiring nuanced legal judgment will likely remain within the purview of human expertise.
Moreover, the future of contract drafting will likely emphasize collaboration between AI tools and human lawyers. By integrating the speed and efficiency of AI with the nuanced understanding of legal professionals, firms can create a more effective drafting process that leverages the strengths of both parties. This orchestration could lead to enhanced productivity, reduced errors, and ultimately, better legal outcomes for clients.
As legal professionals increasingly adopt AI tools, they will need to adapt their workflows and priorities. The emphasis on accuracy and verification will guide the continued evolution of AI applications, as legal professionals seek to balance efficiency with the high standards of reliability and judgment expected in legal work.
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