Logo Enter — plataforma de IA jurídica para contencioso de massa
You’re being directed to the version of Enter intended for international markets. Product and availability may vary by jurisdiction.
continue to international website
How LATAM raised its operational efficiency by 30% with Enter’s technology
<svg width="106" height="32" viewBox="0 0 106 32" fill="none" xmlns="http://www.w3.org/2000/svg">
<g clip-path="url(#clip0_1125_12458)">
<path fill-rule="evenodd" clip-rule="evenodd" d="M102.987 24.5686C101.002 24.5686 99.7051 25.388 99.7051 26.6531C99.7051 27.8443 100.697 28.2914 102.299 28.589L103.063 28.7375C104.207 28.9609 104.817 29.3332 104.817 29.9288C104.817 30.524 104.208 30.9715 102.681 30.9715C101.308 30.9715 100.239 30.524 99.9336 30.3007L99.6279 31.3434C99.9336 31.4919 101.002 31.939 102.604 31.939C104.742 31.939 105.963 31.1196 105.963 29.8545C105.963 28.6637 104.894 28.0681 103.215 27.77L102.452 27.621C101.231 27.3977 100.849 27.1744 100.849 26.5788C100.849 25.9836 101.537 25.537 102.909 25.537C104.055 25.537 104.894 25.7599 105.276 25.9089L105.506 25.0157C105.047 24.8671 104.207 24.5686 102.987 24.5686ZM34.0783 31.8643H35.2221L31.7884 25.0157C31.6362 24.7919 31.4831 24.7176 31.2546 24.7176H30.4151L26.8287 31.8643H27.973L28.8893 30.0035H33.162L34.0783 31.8643ZM48.1948 31.8643V29.2589C48.7295 29.556 49.4927 29.7055 50.3326 29.7055C50.79 29.7055 51.0957 29.7055 51.4764 29.6312L53.0027 31.8643H54.2238L52.5448 29.3332C53.6141 28.8866 54.3001 27.9934 54.3001 26.9511C54.3001 25.6113 53.1558 24.6433 51.0953 24.6433H47.051V31.8643H48.1948ZM76.5833 31.8643V25.9836L81.6192 31.5662C81.7719 31.79 82.0008 31.8643 82.3056 31.8643H82.9934V24.7176H81.9245V30.3759L76.964 25.0161C76.8118 24.7924 76.6601 24.7181 76.278 24.7181H75.5144V31.8647L76.5833 31.8643ZM32.7041 29.0356H29.3472L31.0256 25.686L32.7041 29.0356ZM50.4084 28.7375C49.5685 28.7375 48.7295 28.5147 48.1948 28.2167V25.537H51.1716C52.622 25.537 53.1558 26.2812 53.1558 26.9507C53.1558 27.9186 52.3917 28.7375 50.4084 28.7375ZM59.1838 31.8643H64.5259V30.8963H60.3285V24.7176H59.1838V31.8643ZM40.2585 31.8643H41.4041V24.7176H40.2589L40.2585 31.8643ZM88.7161 24.7176V31.8643H94.5924V30.8216H89.8613V28.5885H93.981V27.6206H89.8613V25.6851H94.4393V24.7172L88.7161 24.7176ZM68.7228 31.8643H69.8684V24.7176H68.7228V31.8643ZM51.8584 16.9164H55.4141L49.876 6.27256C49.5857 5.74851 49.2985 5.54862 48.6356 5.54862H45.5784L39.7509 16.9164H43.303L44.3371 14.8207H50.8668L51.8584 16.9164ZM80.9974 16.9164H84.5097L78.9699 6.27256C78.6827 5.74851 78.3936 5.54862 77.733 5.54862H74.6745L68.8465 16.9164H72.4008L73.4336 14.8207H79.9642L80.9974 16.9164ZM93.5186 14.1355C93.6446 14.5384 94.1395 14.8207 94.6769 14.8207H98.0248L100.504 8.13057L102.859 16.9164H106L103.397 6.83937C103.152 5.83135 102.571 5.54862 101.621 5.54862H98.3554L96.0009 12.2014L94.1395 6.55439C93.8934 5.83135 93.4364 5.54862 92.6931 5.54862H89.016L85.9977 16.9164H89.1821L91.4933 8.13057L93.5186 14.1355ZM78.8091 12.5219H74.4672L76.6601 7.96714L78.8091 12.5219ZM49.7099 12.5219H45.3712L47.5631 7.96714L49.7099 12.5219ZM37.2713 16.9164L38.5931 14.2953H30.7809V5.54862H27.4338V16.9164H37.2713ZM60.4988 16.9164H63.7198V8.16884L69.3433 7.80597V5.54862H54.8767V7.80597L60.4988 8.16839V16.9164ZM4.75279 28.4611L7.60491 27.4486C8.19918 27.2379 8.19918 27.7043 8.19918 28.3999V29.6803C8.19918 30.7158 7.84244 30.8418 7.36738 31.0107L4.75279 31.939V28.4611ZM4.75279 22.7813L12.0019 20.2074C12.5957 19.9967 12.5957 20.4627 12.5957 21.1583V22.4333C12.5957 23.4742 12.2389 23.6007 11.7639 23.7695L4.75279 26.2591V22.7808M4.15897 14.6879L0.475053 13.38C0 13.2112 0 12.5804 0 12.349C0 12.349 0 13.109 0.712579 12.856L18.775 6.44274C20.201 5.93625 20.201 5.54592 19.6068 5.33522C20.201 5.54592 20.201 5.54592 20.201 7.24861C20.201 8.87116 20.201 9.41412 19.488 9.66713L5.34705 14.6879C4.75279 14.899 4.75279 14.899 4.15897 14.6879Z" fill="currentColor"/>
<path fill-rule="evenodd" clip-rule="evenodd" d="M1.54437 8.0797L7.85463 10.3199L12.7519 8.58123L0.950557 4.39114C0.118763 4.0958 0 4.05348 0 4.63335V6.1402C0 7.53134 1.06932 7.91087 1.54437 8.0797ZM19.6072 11.0151L17.6492 10.3199L12.7519 12.0586L15.8533 13.1599L18.775 12.1226C20.201 11.6165 20.2015 11.2262 19.6072 11.0151Z" fill="currentColor"/>
<path fill-rule="evenodd" clip-rule="evenodd" d="M19.6083 11.0151C20.2022 11.2262 20.2022 11.6165 18.7761 12.1226L4.75391 17.1014V20.5789L19.4891 15.3474C20.2022 15.094 20.2022 14.551 20.2022 12.928C20.2022 11.2262 20.2026 11.2262 19.6083 11.0151Z" fill="currentColor"/>
<path fill-rule="evenodd" clip-rule="evenodd" d="M19.6072 5.33522L5.70334 0.398673C4.872 0.103336 4.75279 0.0610161 4.75279 0.640886V2.14774C4.75279 3.53888 5.82211 3.91841 6.29716 4.08724L15.8533 7.48001L18.775 6.44273C20.201 5.93625 20.2015 5.54592 19.6072 5.33522ZM0.712579 12.856L4.75324 11.4211L0.950557 10.071C0.118763 9.77563 0 9.73376 0 10.3132V12.3486C0 12.3486 0 13.109 0.712579 12.856Z" fill="currentColor"/>
</g>
<defs>
<clipPath id="clip0_1125_12458">
<rect width="106" height="32" fill="currentColor"/>
</clipPath>
</defs>
</svg>

How LATAM raised its operational efficiency by 30% with Enter’s technology

18,6k

structured-text suggestions from Enter’s AI

US$ 2.8M

saved in 2025 with technology support

12 → 70%

expansion of the portfolio supported by Enter's technology in 12 months

18,6k

structured-text suggestions from Enter’s AI

US$ 2.8M

saved in 2025 with technology support

18,6k

structured-text suggestions from Enter’s AI

“Brazil accounts for 98% of LATAM’s litigation worldwide, making a handcrafted legal model expensive and inefficient. We use Enter’s artificial intelligence to elevate LATAM’s legal excellence at scale, significantly reducing costs.”

Bruno Bartijotto
Legal Director
Bruno — liderança da LATAM no case com a Enter
summary
01

18,6k LATAM lawsuits supported by Enter’s technology, with mandatory audit, review, and legal strategy definition by a licensed attorney, and 8,000 already closed

02

US$2.9 million saved per year with support from Enter’s platform, through a 13% reduction in operating costs per lawsuit and a 30% rise in efficiency metrics

03

Serial fraud was uncovered through the reuse of the same receipt across dozens of lawsuits, with one case ending in dismissal of the lawsuit, a fine of 9% of the claim value against the plaintiff, and the opening of a criminal investigation into the conduct of the attorney

Industry
Airlines
Company size
+US$14.5 billion in revenue
Location
Latin America
Learn more
LATAM is one of the largest airline groups in Latin America, with over 46.7 million annual passengers, 22,000 employees, and operations across dozens of countries in the Americas and Europe.

Challenge

01

Scale

In 2025, plaintiffs filed more than 365,000 lawsuits against Brazilian airlines. Aviation litigation grew by 32%, compared with 24% in financial services and just 1% in telecom.

LATAM was responsible for 42% of the record growth in the Brazilian airline market in 2025. That same year, the company faced more than 120,000 passenger-related lawsuits. Within the company, Brazil represents approximately 50% of group operations but generates more than 98% of consumer lawsuits, revealing an idiosyncrasy of the Brazilian judicial system when compared to other countries.

The high volume of cases required the legal department to operate with the same level of data analysis and operational discipline already present in other core areas of the company.

02

Document tampering and fraud

Beyond scale, LATAM faces fraud and other irregular practices in consumer lawsuits. Examples include:

  • Tampered proof of address

  • Power of attorney without a signature

  • A plaintiff who had already died

  • A disbarred attorney sponsoring the case



At high volume, this stops being an isolated problem. Catching it takes a recurring pattern detection that no one can do by hand. With AI, detecting evidence of wrongdoing strengthens the fight against abusive litigation and improves the evidence presented to the courts.

Solution

Enter was hired to mitigate the litigation costs of operating in Brazil. The solution was structured in four stages.

Data collection

When a new lawsuit comes in, Enter’s AI agents gather every document in the case file and cross-reference it with the operational data of the flight involved.

From LATAM’s internal systems, it captures information tied to the flight and the passenger interaction, such as:


  • Booking and ticket data
  • Flights and passengers involved
  • Assistance provided to each passenger
  • Stated cause of delays or cancellations

Enter's engineering team processes data from different sources and formats, centralizing it into a single, dedicated LATAM database within the platform, which can include, for example, screenshots, documents, and even audio. The collected data is then used by the legal team and the company's law firms in the next stages of the flow.

Fraud and inconsistency detection

Based on more than 30 irregularity checks, each lawsuit is assessed by Enter’s anti-fraud agent, built to detect illegal document tampering and abusive litigation practices. By organizing evidence and surfacing what actually happened at scale, Enter’s technology supports the justice system, sharpening the decisions of LATAM's legal team and the law firms representing the company in high-volume settings.

In a concrete example, the recurring reuse of the same proof of residence across dozens of lawsuits with different plaintiffs allowed LATAM to effectively expose the fraud.

The result was the dismissal of the case, the imposition of a fine on the plaintiff equivalent to 9% of the claim value and the opening of a criminal investigation into the conduct of the attorney, as shown in the court ruling referenced below.
The result was the dismissal of the case, the imposition of a fine on the plaintiff equivalent to 9% of the claim value and the opening of a criminal investigation into the conduct of the attorney, as shown in the court ruling referenced below.
Print da interface da plataforma Enter — análise de processos jurídicos
Evidence Enrichment

Each lawsuit gets enriched with external and operational data relevant to the specific flight, made available by Enter's AI agents through integrations with databases built specifically for LATAM, including:

  • Weather conditions
  • Operating conditions at all airports in the country
  • Evidence of disruptions affecting other airlines operating at the same airport on the same date

In practice, for example:

In cases based on flight cancellations, Enter’s technology verifies the weather conditions recorded at the airport at the exact time of the flight — as presented in the ruling below, with heavy rain and low visibility ceiling at 7 PM — and cross-references this information with operational records to determine whether landing was technically unfeasible at that point in time.
In cases based on flight cancellations, Enter’s technology verifies the weather conditions recorded at the airport at the exact time of the flight — as presented in the ruling below, with heavy rain and low visibility ceiling at 7 PM — and cross-references this information with operational records to determine whether landing was technically unfeasible at that point in time.
Print da interface da plataforma Enter — contestações geradas por IA

Based on this data, Enter’s AI agent determines whether the alleged event stemmed from factors outside the company’s control and, where applicable, provides legal inputs that support LATAM’s legal department and attorneys in arguments of fortuitous event, force majeure, or absence of liability.

Text suggestion support

How would a senior LATAM attorney write this defense if they had unlimited time?
How would a senior LATAM attorney write this defense if they had unlimited time?

Enter translates this reasoning into AI agents responsible for evaluating the specific facts of each case.

For example: In cases involving flights operated by partner airlines, where LATAM was not the operating carrier, Enter automatically identifies who was responsible and structures the answer based on lack of standing, demonstrating that LATAM had no control over the service.

After legal validation and guidance from LATAM's legal team, Enter suggests drafts within the conditions in which each one should be used, such as lack of standing, force majeure or provision of passenger assistance.

At the end of the workflow, the document must be reviewed by a licensed attorney, who validates the content and files the answer with the court.

Results

In under 12 months, LATAM expanded the portfolio supported by Enter's technology from 12% to 70% of its consumer litigation, after validating the results of the initial innovation project in practice.

“What started as an innovation project is quickly becoming the new operational standard for LATAM’s litigation.”

Bruno Bartijotto
Legal Director
Bruno — liderança da LATAM no case com a Enter

Over this period, Enter's technology supported 18,600 lawsuits, of which more than 8,000 have already closed under this operating model.
The results were striking:


  • +30% in operational efficiency metrics with support from Enter’s AI
  • 13% reduction in operating costs per lawsuit
  • US$2.8 million saved in the first year, even with the scope limited to 12% of the portfolio supported by Enter’s technology

“With Enter’s technology, we operate more efficiently, spend less per lawsuit, and sustain it at scale. At volumes like ours, small inefficiencies turn into structural losses; and in 2025, we cut those losses with Enter’s AI.”

Leonardo Sant’Ana
Strategic Projects and Legal Ops Manager
Leonardo — executivo da LATAM no case com a Enter