Since 2019, Brazil's courts have developed or implemented over 140 AI projects that have helped make the country's overburdened judicial system more efficient
https://restofworld.org/... Brazil's overburdened courts and lawyers are adopting artificial intelligence. But experts wonder whether it serves justice. — “We note that the use of AI, in the end, rather than diminishing litigation, is increasing it” …
Context & Ripple Effects
Brazil’s judicial rollout extends the state’s earlier use of AI for legal triage: the solicitor general’s office had already hired OpenAI to screen and analyze large volumes of lawsuits in a government legal-screening initiative.
The story also fits a broader Brazilian public-service pattern in which automation can reduce administrative burden while creating costly errors, as shown by AI-assisted social-security decisions that wrongly rejected vulnerable people. The key question is whether court efficiency translates into better access to justice.
First-order effects
- Courts, judges, and legal staff gain AI support across more than 140 projects, helping process work in an overburdened system more efficiently.
- Lawyers and litigants encounter a judiciary increasingly shaped by automated tools; experts’ concern that AI is increasing litigation makes caseload growth an immediate operational risk rather than a resolved benefit.
Second-order effects
- If faster screening and drafting lower the cost of pursuing or processing claims, courts may have to redirect savings into reviewing a larger volume of filings and checking AI-assisted work.
- The rollout increases pressure for clear rules on human review, accountability, and acceptable legal AI use—especially as documented AI misuse in legal filings shows how automation can compromise the reliability of submissions.
Third-order effects
- Brazil’s experience points to a shift from isolated legal-tech pilots toward AI as judicial infrastructure, with the value of deployment increasingly judged by case quality and fairness alongside throughput.
- If AI expands both court capacity and demand for litigation, justice systems may face a durable feedback loop: automation reduces friction in one part of the process while increasing the volume requiring oversight elsewhere.
The trend: Public-sector legal AI is moving from back-office experimentation to core judicial infrastructure, making governance and demand effects as important as efficiency gains.