The integration of artificial intelligence into legal workflows has led to a phenomenon described as the burden of AI clog. Instead of saving time, the use of generative AI in contract drafting and review processes often creates additional work due to the poor quality of output. Many legal teams currently rely on general-purpose large language models like ChatGPT or Claude without established internal policies.
Current AI tools often apply changes to legal documents indiscriminately, leading to excessive redlining and a lack of professional judgment. These automated edits frequently ignore the nuances of negotiations, causing friction between parties. The author suggests that European startups have the opportunity to address these inefficiencies by developing more specialized solutions.
The proposed solution involves moving toward judicious editing tools that operate within a predefined company playbook. Such systems would scan for compliance and conflicts while offering edits aligned with specific firm policies. By focusing on minimal, relevant amendments, these tools aim to accelerate consensus and reduce the need for manual intervention in legal processes.
Future market expectations are shifting toward higher standards for AI-enabled legal work. Users are expected to demand tools that provide precise and insightful edits rather than generic content. The goal is to transition toward systems that function as mediation portals, evaluating differences in position before applying changes to legal documents.
