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Latin America Labor AI is helping judges to quickly close cases, and lawyers to quickly open them

Innovation

Courts don’t know what to do about AI crimes

AI-generated images and videos are stumping prosecutors in Latin America, even as courts embrace AI to tackle case backlogs.

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Shehan Obeysekera for Rest of World
Shehan Obeysekera for Rest of World
  • Judges in Latin America are struggling to rule on cases of AI-generated images.
  • Courts in the region are adopting AI tools at increasing rates to clear case backlogs.
  • Lawmakers in the region cannot keep up with the fast pace of AI innovation.

Shortly after Colombian presidential candidate Miguel Uribe Turbay was shot at a political rally in June, hundreds of videos of the attack flooded social media. Some of these turned out to be deepfakes made with artificial intelligence, forcing police and prosecutors to spend hours checking and debunking them during the investigation. A teenager was eventually charged.

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Increasing adoption of AI is transforming Latin America’s justice system by helping tackle case backlogs and improve access to justice for victims. But it is also exposing deep vulnerabilities through its rampant misuse, bias, and weak oversight as regulators struggle to keep up with the pace of innovation. 

Law enforcement doesn’t yet “have the capacity to look at these judicial matters beyond just asking whether a piece of evidence is real or not,” Lucia Camacho, public policy coordinator of Derechos Digitales, a digital rights group, told Rest of World. This may prevent victims from accessing robust legal frameworks and judges with knowledge of the technology, she said.

Justice systems across the world are struggling to address harms from deepfakes that are increasingly used for financial scams, in elections, and to spread nonconsensual sexual imagery. There are currently over 1,300 initiatives in 80 countries and international organizations to regulate AI, but not all of these are laws and nor do they all cover deepfakes, according to the Organisation for Economic Co-operation and Development.

Deepfake videos surged by 550% between 2019 and 2023 worldwide, according to a report by Security Hero, an independent platform that investigates data protection and digital security. Less than 1% of deepfakes are created in Latin America, compared to more than 70% in Asia, but countries including Mexico, Chile, Brazil, and Colombia have seen some of the highest growth rates, according to a separate study.

Some countries have acted. South Korea and Australia criminalize specific deepfake abuses, and the U.S. recently passed the “Take It Down Act” that penalizes the creation and distribution of deepfakes without consent. In Latin America, Brazil banned the use of deepfakes in electoral campaigns last year, while Peru and Colombia this year passed AI laws that consider deepfakes an aggravating factor to a crime. Argentina recently proposed a bill criminalizing AI-generated content with up to six-year prison sentences.

But while some countries in Latin America have used the European Union’s framework as a model, local iterations aren’t as robust, Franco Giandana, a policy analyst for Latin America and the Caribbean at Access Now, a digital rights group, told Rest of World. Often, “the language is too abstract and there’s still little grasp of the national and regional challenges — not just to regulate AI but to build a coherent development strategy suited to our context,” he said.

85% Percentage of judges in Colombia who use free versions of ChatGPT or Microsoft Copilot

Prosecutors in Chile, Argentina, and Mexico — where deepfakes are not yet regulated — have struggled to get convictions in recent months on cases involving high school students who created and distributed explicit deepfake images of female classmates without consent.

In December, a judge in Mexico — which criminalizes the distribution of sexual content without consent — acquitted a 20-year-old man charged with using AI to create sexual images of more than 1,000 women and minors, on a “lack of sufficient evidence to prove his involvement.” The victims’ legal team appealed the ruling and the case remains open. The man was separately sentenced to five years by the Mexico City prosecutor’s office for possessing child sexual abuse material.

Last year in Argentina, an 18-year-old man was accused of creating and publishing pornographic deepfake videos of at least 16 of his female classmates on pornography websites, with their real names. Because this is not a crime, José M. D’Antona, the victims’ defense attorney, built his case around digital crimes legislation and the psychological harm inflicted upon his clients.

While the prosecutor’s office issued orders for the de-indexation of the images from the websites, the victims’ names can still be found on some pornography sites, D’Antona told Rest of World. “The damage persists,” he said.

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The unregulated use of AI has caused other harms. Across the region, police use AI-based facial recognition systems to track criminals, and have inadvertently harmed innocent citizens.

Last year, João Antônio Trindade Bastos was watching a football game in Aracaju, Brazil, when military police dragged him from the stadium in front of 10,000 fans. A surveillance camera had misidentified him as a wanted fugitive. Weeks earlier, a woman was arrested during carnival celebrations for someone else’s crime. Both of them were released once it was determined they were not the individuals in question.

Such cases are inevitable. Most AI systems are trained primarily on data from white populations, generating “false positives” when scanning Indigenous, Afro-descendant, and female faces, Dilmar Villena, executive director of Hiperderecho, a Peruvian digital rights organization, told Rest of World. Similarly, Chile’s Urban Criminal Prediction System has been criticized for relying on what experts call “dirty data” — police records riddled with racial profiling and selective enforcement.

Chile’s National Police and the Deputy Ministry of Public Security did not respond to a request for comment from Rest of World.

Such use of facial recognition and other AI tools “should be heavily regulated because we’re talking about the state using weapons against its own citizens,” Felipe Rocha, digital coordinator at Lapin, a Brazilian justice-tech research organization, told Rest of World. In June, Brazil’s Ministry of Justice and Public Security issued a ruling that allows public security agencies to use AI in criminal investigations, and bans the use of remote biometric identification in public spaces except when searching for missing persons or when there is imminent threat to life.

Even as regulators struggle to keep up, courts across Latin America are increasingly turning to AI to classify cases and automate repetitive tasks. 

Self-regulation is the only efficient path. No legal framework will ever keep pace with the speed of AI.”

In 2023, Colombian judge Juan Manuel Padilla chose a simple case on his docket to test the application of AI: He drafted a ruling on an autistic child who needed state-funded medical treatment with the help of ChatGPT.

The case set a precedent in the use of AI in judicial decisions in the country. Not long after, Colombia established AI courtroom guidelines, allowing AI for routine tasks while mandating human oversight. About 85% of judges in the country now use free versions of ChatGPT or Microsoft Copilot, according to a 2025 study by the Universidad de los Andes. But most judges receive minimal AI training, leaving them to independently navigate integrating algorithms into legal traditions.

Elsewhere in the region, Brazil uses SAJ Digital, an AI tool, to help speed up cases and streamline magistrates’ workload. In Argentina, Prometea has cut legal opinion processing from 190 days to one hour. Colombia’s Constitutional Court has deployed PretorIA, an AI tool based on Argentina’s technology. It sorts through more than 2,700 acciones de tutela — legal requests by Colombian citizens for the protection of their fundamental rights — daily. 

Padilla, the Colombian judge, relies on AI tools to streamline case documentation, but strict regulation alone will not be enough to confront the issue of deepfakes within the justice system, he told Rest of World.

“Self-regulation is the only efficient path,” he said. “No legal framework will ever keep pace with the speed of AI.”

Labor

AI is helping judges to quickly close cases, and lawyers to quickly open them

Brazil’s overburdened courts and lawyers are adopting artificial intelligence. But experts wonder whether it serves justice.

A large stone sculpture of a blindfolded woman seated with a serene expression, situated in an open plaza in front of a modern architectural building with a flat roof and large glass windows, under a cloudy sky.
Fernanda Frazão for Rest of World
Fernanda Frazão for Rest of World
  • Brazil’s courts have over 140 AI projects to cope with more than 70 million pending lawsuits.
  • Lawyers, too, are using generative AI and filing more cases than ever before.
  • Tech developers may oversimplify the law and strip it of justice and equity to make it understandable for computers.

Brazil’s judicial system — among the most litigious in the world — is turning to artificial intelligence for help. 

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Judges are using AI to clear their dockets at a faster clip than ever before, even as lawyers refill them rapidly, also with the help of AI. It’s a “vicious circle,” Rodrigo Badaró, a councilor monitoring AI use at the National Council of Justice, a constitutional body overseeing the judiciary, told Rest of World

“We note that the use of AI, in the end, rather than diminishing litigation, is increasing it,” he said. “[AI] may be a solution, but no one’s sure if it will actually work.”

For all the pressure on the system, the nation’s Supreme Court in the capital Brasília appeared serene this August. Lawyers drifted into its glass-walled annex for appointments with the nation’s top judges. The court considers around 80,000 new cases each year, and has delivered landmark rulings recently curbing the influence of Big Tech. In comparison, the U.S. Supreme Court receives around 8,000 petitions a year and hears fewer than 100. 

The caseload at Brazil’s top court is a drop in the larger pool of 76 million lawsuits currently clogging the country’s judicial system. Running the overburdened system costs the government $30 billion annually, equal to 1.6% of the gross domestic product.

To cope, Brazil has embarked on one of the world’s largest deployments of AI. Since 2019, its courts have developed or implemented over 140 AI projects that use machine learning or large language models, according to a 2024 survey by the National Council of Justice. The programs find precedents, categorize cases, and help draft documents. Some also forecast the decisions of judges and flag repeat litigants.

Some of the AI tools have helped the courts become more efficient, process documents faster, and cut down the time taken for judicial proceedings, according to the survey.

At the Supreme Court, law clerk Arianne Vasconcelos smiled as she explained how AI helps her deliver better reports to the judges.

The 42-year-old works in a department that handles lawsuits about potential constitutional violations. Typically, her department gets around 76 new cases every month, according to Supreme Court data. Her job is to analyze the argument and create a summary. She also drafts decisions for Luís Roberto Barroso, the current chief justice, to review.

Last December, Vasconcelos got a new helper: MarIA, a generative-AI based tool that helps her write reports. Earlier, she used to write one-pagers and move to the next case on her ever-growing pile, she said. 

Now, MarIA drafts the reports, which Vasconcelos reviews. 

“Using MarIA, you can now make a much more extensive and complete [report],” she told Rest of World. “It’s easier to adjust [what the AI produced] than start from scratch.” 

The MarIA tool was developed by STF’s tech team, and uses Google’s Gemini and OpenAI’s ChatGPT models, said Natacha Oliveira, the team coordinator.

“AI is providing high quality work,” she told Rest of World. “If anything stops working, clerks immediately complain. ”AI tools have helped reduce the backlog at the Supreme Court, Oliveira said.

By June, the backlog dropped to the lowest level since 1992, according to a productivity report from the Supreme Court. Nationwide, judges at various levels of the judiciary closed 75% more cases last year than they did in 2020, data from the National Council of Justice shows. 

AI’s helping hand extends to lawyers: More than half of Brazil’s attorneys use generative AI daily, according to a 2025 poll by the country’s Bar Association. They filed over 39 million new lawsuits last year — a 46% jump since 2020, data from the National Council of Justice shows. 

Drafting a defense used to take 20 minutes. Now it can be done in seconds, Daniel Marques, president of Brazilian law-tech association AB2L, told Rest of World. 

“For a lawyer who bills by the hour, that’s a big efficiency gain,” he said. “But he can’t be lazy. This will be done much faster, but it needs to be reviewed.” 

The legal profession is rooted in language, rules, and logic — the very same elements generative AI is good at, according to a report by venture capital firm Contrary Capital. That makes the profession a natural target for AI companies. A Goldman Sachs report estimates 44% of legal tasks could potentially be automated in the future. 

Venture capitalists have taken note and invested over $1 billion in global legal-tech startups this year. The market for legal technologies is expected to hit $47 billion by 2029, according to market research firm Research and Markets. 

The enthusiasm has been tempered by concerns that AI sometimes makes things up, or hallucinates. There have been over 350 cases so far of lawyers filing court documents containing made-up precedents and laws worldwide, according to estimates by legal researcher Damien Charlotin. Brazil has seen at least six cases this year, resulting in fines for the lawyers involved.

The United Nations cautioned governments this July against “techno-solutionism” in legal work. 

“AI should not be adopted without careful assessment of its potential harms, how to mitigate those harms and whether other solutions would be less risky,” the report said. 

Lawyer Thiago Sombra’s 12th-floor office overlooks Brasília’s most important courtyard: the Esplanada dos Ministérios, which houses 17 government ministries. If he squints, he might make out the modernist twin towers of the Senate on the horizon. 

The location reflects the clout of his employer Mattos Filho, one of Brazil’s most prominent law firms with clients such as Google, Meta, and Microsoft. Big tech companies have repeatedly clashed with the nation’s strict tech rules, making Brasília a major front in global battles over tech regulation. 

One August afternoon, Sombra was busy talking to the AI chatbot Harvey, named after the suave lead in the TV legal drama Suits.

Sombra often feeds the chatbot with legal documents, then asks it to look for loopholes. He also uses Harvey to compare opposing expert reports and find out which is more plausible and consistent, he told Rest of World.

Until March 2024, the 44-year-old would’ve done the legwork himself, or assembled his team for a brainstorm. Now, he gets a response within seconds. He uses the chatbot as a research assistant, a document comparison tool, or as a reviewer of court filings, he said.

“It gives me a crude analysis that I can aggregate on my own,” he said. Each lawyer at the firm saves about three hours every week by using Harvey, a spokesperson told Rest of World.

An office space with multiple computer monitors displaying a similar image of a torso, arranged in rows and divided by glass panels, with the time visibly shown on the screens.
A workspace at the Supreme Court. The nation’s top judges have delivered several landmark rulings on Big Tech. Fernanda Frazão for Rest of World

Developed by a San Francisco-based tech company valued at $5 billion, the tool uses OpenAI’s models trained on legal data. The company is one of the top legal-tech startups today, funded by investors including Sequoia Capital and OpenAI’s Investment Fund. 

Harvey is deployed in 54 countries and has more than 50,000 users, Katie Burke, head of people at Harvey, told Rest of World. The program hallucinates to a lesser degree than top models like Claude and Gemini, the company said. Still, users should review its outputs and cross-check the sources provided by Harvey, Burke said. 

“Without the references, I can’t check if [the chatbot] is making things up,” Sombra said.

Legal-tech tools break down legal processes into parts that can be easily handled by computers and automated, said André Fernandes, director at the Research Institute in Law and Technology, based in Recife.

“I look at reality, I put it in a box, I formalize it, I create a product, and I’m efficient, and I sell it and make a lot of money,” Fernandes told Rest of World

But justice isn’t mechanical, and judges generally consider the context and concepts like fairness and equity in decision-making. “The problem is that a large part of the law is not [standardized],” Fernandes said. “Imagine family law cases, contractual issues, or successions — they involve other elements that need to be considered.”

Lawyers who don’t have access to proprietary software like Harvey are using free versions of ChatGPT. 

In Porto Alegre in southern Brazil, independent lawyer Daniela Solari works out of her home office, surrounded by two toddler boys and three dogs. The 39-year-old finds she often loses her train of thought among their cries and barks.

She uses ChatGPT to search for loopholes in contracts or rewrite clauses related to inheritance and business law. She takes care to not feed the bot sensitive client information, and reviews its outputs for hallucinations, she told Rest of World.

“It brought me such a great optimization that today I no longer need an intern anymore,” she said. “If you take just what it generates and check it in the court’s system, most of the time that case won’t match, the jurisprudence won’t exist.”

Solari said she plans to hire an intern in the future, but would assign them important tasks rather than repetitive busywork, which is better performed by AI.  

“I would not use a young person’s energy and high expectations for purely bureaucratic tasks that do little to help their development,” she said. “I was an intern myself and I know how brief and important that time is for understanding the profession.”

Innovation

Argentina wants to be an AI powerhouse, but its tech experts are leaving

President Javier Milei pitched Argentina as an AI hub, but the few jobs and research opportunities are not enough to keep engineers at home.

A whimsical illustration features multiple stylized brains with yellow wings soaring against a dark, cloudy sky, with a faint city skyline in the background and water in the foreground.
Rest of World/iStock
Rest of World/iStock
  • AI researchers in Argentina are struggling to find high-caliber training programs and well-paying jobs at home.
  • The president’s ambitious plan to turn the country into an AI hub is undermined by deep budget cuts.
  • Local AI experts are looking for opportunities in the U.S., the U.K., and the EU.

Argentina is known for its beef and soy exports. Now, in the age of artificial intelligence, it is also shipping talent overseas.

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Last year, Agustín Martínez, a researcher focused on AI safety, finished his doctorate program at the University of Buenos Aires. He looked for a postgraduate research position to specialize further, but couldn’t find one in the country. Martínez then applied to universities in the U.S. and Europe, and landed a position earlier this year at one of the world’s leading AI safety centers in Oxford, England.

“When I started looking into where this research was happening, I realized the only opportunities were abroad,” Martínez told Rest of World. “There isn’t a developed ecosystem around AI safety back home — we are just starting to build it.”

Martínez’s decision to leave Argentina reflects the dilemma many young scientists in the South American nation face: stay and fight an uphill battle to find jobs, support, and funding, or seek opportunities abroad, where research communities, cutting-edge infrastructure, and higher-paying salaries are more accessible. Even as President Javier Milei promises to turn Argentina into an AI powerhouse, many of the country’s best-trained engineers are quietly packing their bags.

“The prospects for scientific development in Argentina today are really bleak,” Sebastián Uchitel, who leads one of the country’s main data science centers at the University of Buenos Aires, told Rest of World. While salaries abroad can be up to 10 times higher and research projects more compelling, Uchitel said the biggest problem is structural. “The entire chain for retaining talent here is broken.”

Milei has repeatedly pitched Argentina as a future global hub for AI. Since taking office in 2023, he’s courted Silicon Valley’s elite and built a social media rapport with Elon Musk. “Don’t be surprised if Argentina becomes the next [AI] global hub,” Milei said in an address in December. “It’s no coincidence that the world’s largest companies are evaluating projects here.”

But even as some major tech investments materialize, including a $500 million investment commitment from U.S. software giant Salesforce for the next five years, Argentina’s AI ecosystem is quietly fraying. Inflation has gutted researchers’ salaries, labs are running on outdated equipment, and what some scientists describe as government apathy — or outright hostility — toward public research has left many demoralized.

Argentine Preseident Javier Milei has repeatedly pitched the country as a future global hub for AI. Vox España/Wikimedia Commons

Argentina is not alone in losing its tech talent. From Nigeria to India to Brazil, AI researchers have been increasingly drawn to elite labs in North America and Europe, where funding, infrastructure, and career opportunities vastly outpace those at home. More than 40% of top-tier AI talent in the world comprises foreign nationals working in a different country, according to a 2023 report from the Chicago-based Paulson Institute. The U.S. is far and away the leading destination, followed by China and the U.K. Mid- and low-income countries are large contributors to this brain drain, studies show.

In Argentina, sweeping austerity under Milei’s “chainsaw” agenda of huge budget cuts to government programs has made the future even more uncertain. More than 52,000 jobs have been eliminated in the public sector since he took office, of which over 4,000 account for scientific research positions, according to a report by the Ibero-American Center for Research in Science, Technology, and Innovation, an opposition-led consultancy group.

Like everywhere else, demand for AI courses has exploded in the country, but schools are struggling to retain and recruit specialized faculty, as few graduates choose academia, according to Uchitel. “We did a study and found that half of our undergraduates already earn more than a starting professor. So how am I supposed to hire anyone? Seeing our talent leave [the country] is just devastating.”

Even as AI experts leave the country, Milei’s government is pushing an ambitious plan to scale up Argentina’s nuclear energy capabilities, aiming to develop small modular reactors to meet AI’s enormous energy demands. Officials see this as part of the same strategy: Use Argentina’s natural resources and engineering base to lure Big Tech.

But long‑term commitments from tech giants could be years away, and Milei’s own economic reforms will be put to the test in mid-term elections later this year. Meanwhile, tech giants like Meta, Google, Microsoft, Amazon, Tencent, and Huawei are pouring billions into AI talent and compute power, leaving Latin American countries scrambling for scarce computing resources.

Argentina’s AI infrastructure lags behind even regional peers: Latin America accounts for just 1.6% of global AI investment despite making up 6.3% of the world economy, according to a report by the United Nations Economic Commission for Latin America and the Caribbean, known as ECLAC. Brazil leads the region with $1.1 billion in AI spending, followed by Mexico, Chile, and Argentina. By comparison, the U.S. is spending roughly $76 billion on AI annually.

“The AI game is already over” for most developing countries, Raúl Katz, co‑author of the ECLAC study and director of business strategy research at Columbia University’s Institute for Tele‑Information, told Rest of World. Countries like Argentina should focus on AI adoption rather than trying to build cutting-edge AI technology, since their investments can’t come close to those of global powerhouses like the U.S. and China, he said.

“An AI hub is fine, but the real economic gain will come from companies [embracing AI],” said Katz.

Argentina’s Secretariat of Innovation, Science and Technology; the Argentine Nuclear Council; and the Subsecretary of the Knowledge Economy did not respond to requests for comment on Argentina’s AI national strategy.

The most glaring gap is in hardware. At the National University of Córdoba, home to one of Argentina’s leading AI labs, wires snake across aging chips and servers. The entire cluster amounts to the equivalent of just 20 Nvidia A100 GPUs. By comparison, Brazil’s Santos Dumont supercomputer runs on roughly 400 A100‑equivalent chips. Europe’s giants, like Leonardo in Italy — one of the world’s most powerful supercomputers, used for scientific research from climate modeling to AI training — operate on an entirely different scale, with over 13,000 GPUs. A single A100 chip can cost anywhere from $8,000 to over $20,000.

“Our capacity is really tiny,” Nicolás Wolovick, who heads the center in Córdoba, told Rest of World. His top students routinely leave for the U.S. or Europe, where they can work with cutting‑edge hardware, he said.

While the gap remains daunting, some in the private sector are guardedly optimistic.

“Can Argentina become an AI hub? Yes,” Leandro Mora Alfonsín, executive director at Argencon, a trade association for knowledge‑economy companies in the country, told Rest of World. “But it takes time.” Argencon is launching a training program this year to upskill 35,000 Argentine workers — mostly non-specialists from other fields — to use AI tools, he said.

Meanwhile, Martínez has found a way to collaborate with colleagues in Buenos Aires from across the Atlantic. He co-runs a small AI safety reading group, and helps fund a handful of scholarships to nurture local talent.

“Argentina risks becoming a digital farm, supplying cheap labor and raw data to train models that are owned and monetized abroad,” he said. “It’s like extractivism all over again — only this time with knowledge instead of lithium.”