People Using AI to Represent Themselves in Court Are Clogging the System

Why It Matters

AI‑driven self‑representation expands access to justice but threatens to strain federal court capacity, potentially lengthening resolution times for all litigants.

Key Takeaways

• Pro se share rose to 16.8% by 2025 after AI tools spread
• Intra‑case docket activity up 158% for AI‑assisted filings
• Plaintiff‑side pro se filings doubled, defendant filings fell slightly
• AI lowers cost of filing, prompting surge in templated complaints
• Judges may need AI assistance to handle mounting workload

Pulse Analysis

The rapid diffusion of large language models has turned the courtroom into a new frontier for technology. Researchers analyzing over four million federal civil cases discovered that the proportion of self‑represented litigants, historically stable at about 11 %, jumped to nearly 17 % after 2022. This uptick aligns with the public rollout of ChatGPT‑4 and similar tools, which can draft complaints, locate statutes, and navigate procedural nuances for users with no legal training. By automating the most labor‑intensive steps of filing, AI effectively lowers the barrier to entry, allowing a broader segment of the population to pursue grievances that would previously have been out of reach.

Beyond sheer numbers, the study highlights a qualitative shift: AI‑generated pro se cases generate 158 % more docket entries—motions, briefs, and other filings—than traditional self‑represented matters. The surge is driven primarily by plaintiffs, whose filings rose from roughly 20,000 per year pre‑AI to over 39,000 in 2025, while defendant‑side pro se counts modestly declined. This imbalance suggests that AI is being leveraged more as a tool for initiating lawsuits than for defending against them, potentially inflating the volume of new claims entering an already congested federal system.

Policymakers and court administrators now face a paradox. While AI democratizes access to legal recourse, the resulting backlog could erode the efficiency and fairness of the justice system. Some experts propose that judges themselves adopt AI for routine, templatable tasks—such as document review or preliminary legal research—to reclaim capacity without sacrificing human judgment. As courts grapple with this technological inflection point, the balance between expanding access and preserving procedural integrity will shape the future of American jurisprudence.