November 5, 2025


Legal AI Struggles with Massive Document Sets Despite New Advances

In the rapidly evolving realm of legal technology, artificial intelligence (AI) is celebrated for its ability to manage and analyze large data sets. However, the technology still faces significant challenges when confronted with the massive volumes of documents typical in legal cases. According to a seasoned eDiscovery consultant, "AI can’t actually handle these massive document sets," which remains a significant bottleneck despite the technology's advancement.

This limitation has spurred legal tech companies to innovate within the constraints. At the SYNERGY Legal Professionals conference, Thomson Reuters introduced a beta feature designed to improve efficiency in handling extensive document batches. CoCounsel Legal's new feature can analyze up to 10,000 documents in one go, providing structured, sortable results that streamline the document review process significantly more than traditional methods.

Yet, this does not imply that AI is set to replace human attorneys. The technology still requires human oversight to manage and interpret the output from these large-scale analyses. The reality is that while AI can reduce the number of people needed for initial data crunching, it cannot fully replace the nuanced, contextual analysis provided by human legal professionals.

Moreover, Thomson Reuters also showcased an "agentic" feature aiming for "Independent Execution of Legal Tasks." This concept, despite sounding promising, has been met with skepticism due to a high failure rate and practical concerns about the automation of complex legal workflows. Future developments include a customizable workflow builder allowing legal professionals to tailor AI tools more closely to specific needs and practices, potentially increasing AI's utility in legal settings.

Despite these advancements, the legal industry must remain cautious. The integration of AI in legal practices is not just about handling data but also about how these technologies influence the cognitive processes of the lawyers themselves. The emphasis, therefore, is less on replacing human capabilities and more on augmenting them through strategic use of AI.

As the legal sector continues to grapple with these technological advancements, the focus should not just be on what AI can do in isolation but how it can be integrated effectively into the existing legal ecosystem to enhance, rather than undermine, the work of legal professionals.