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Generative AI: a key asset for contract analysis in aviation

Yousra Youssefi
September 4, 2024
6
min read
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The aeronautical sector is subject to a set of standards, making contractual analysis particularly demanding. Contracts in this industry, which are often large and technically complex, require a thorough understanding of regulatory requirements and compliance obligations. Any inaccuracy or omission in these documents can lead to considerable legal and financial risks.. Traditionally, contract lifecycle management (CLM) solutions could address some of these challenges, but they were limited before the advent of artificial intelligence.

AI, in particular generative AI, offers a new approach to contract analysis by automating the detection of critical clauses, verifying compliance with current regulations, and ensuring rigorous risk management. This technology makes it possible to reduce errors, speed up review processes, and ensure strict compliance, while optimizing the operational efficiency of players in the aeronautical sector.

The challenges of contract management in the aviation sector

Contract management in the aviation sector is a particularly arduous process for several reasons:

  • Complexity of contractual documents : Aeronautical contracts are often very detailed, covering technical, financial, legal, and regulatory aspects. For example, an aircraft lease agreement may include provisions on maintenance, use, device return, insurance, and liability for damage. Each clause should be carefully examined to ensure that it complies with international regulations and industry requirements.

  • Regulatory compliance : The aviation sector is one of the most regulated in the world. Contracts must comply with complex legislation that varies by country and jurisdiction. For example, air transport contracts must respect international conventions, such as the Warsaw Convention or the Montreal Convention, in addition to country-specific regulations. An error or omission in a contract can result in severe fines or even the suspension of operations.

  • Risk Management : The risks in aviation are high, whether financial, operational or legal risks. Managing contractual risks is crucial to avoid costly litigation or significant financial losses. This includes accident liability management, performance guarantees, and insurance clauses.

  • Coordination between multiple stakeholders : Aviation contracts often involve several parties located in different countries, each with its own requirements and standards. Coordination between these parties, which may include airlines, aircraft manufacturers, parts suppliers, and regulatory authorities, is a major challenge.

Faced with these challenges, traditional methods of contract management and analysis are showing their limits. This is where generative AI comes in, capable of transforming the way contracts are analyzed, managed, and optimized.

Contract analysis with generative AI

Solutions based on generative AI trained on legal data, such as the one developed by AutoLex, represent a major advance in contractual analysis, especially in a sector as complex as aviation. Unlike traditional AI technologies, which simply analyze predefined data, generative AI uses advanced models to understand, modify, or generate text, offering deeper and more accurate contract analysis.

  • Contextual understanding : One of the main advantages of generative AI is its ability to understand the global context of contracts. In the aviation sector, this understanding is crucial to ensure adequate and compliant management of contractual documents.

  • Automation and time savings : The manual management of contracts, including their in-depth analysis, is often long and complex. Generative AI makes it easy to automate this task by quickly processing vast volumes of legal text. It can detect anomalies, identify risky clauses and propose changes or recommendations. This not only saves valuable time, but also reduces human errors, which are often costly in this area.

  • Proactive risk detection : One of the innovative aspects of generative AI is its ability to identify contractual risks proactively. In the aviation sector, where risks can have serious consequences, this feature is particularly valuable. For example, AI can identify ambiguous clauses that may lead to disputes or conditions that do not comply with current regulations. By suggesting solutions to mitigate these risks, it allows for informed decisions to be made and the interests of the parties involved to be protected.

  • Customization and adaptability : Generative AI can be highly customized to meet the specific needs of each customer. In the airline sector, where requirements can vary considerably from one airline to another or from one country to another, this flexibility is essential. For example, an airline may have specific environmental compliance or passenger safety requirements. AI can be configured to analyze contracts taking into account these particular requirements, thus ensuring full compliance and optimal risk management.

Concrete advantages for the aviation sector

Integrating generative AI into contract analysis offers several concrete advantages for the aviation sector:

  • Cost reduction : By automating contract analysis and reducing human errors, AI provides significant savings, including by avoiding costly disputes and optimizing contractual processes.
  • Improving compliance : AI makes it possible to ensure that all contracts comply with current regulations, thus reducing the risk of sanctions or fines.
  • Optimizing processes : Through automation, contract management processes are optimized, allowing legal and operational teams to focus on higher value-added tasks.
  • Effective risk management : AutoLex's generative AI allows proactive and effective risk management, by detecting anomalies and offering solutions to mitigate them.

The aviation sector, with its high requirements for safety, compliance and risk management, is one of the most complex sectors. Contract management in this area poses unique challenges that traditional methods struggle to meet. Generative AI, such as that developed by AutoLex, offers an innovative solution that transforms contract analysis, making it faster, more accurate and more effective. Not only can airline players manage their contracts more effectively, but they can also mitigate risks, improve compliance, and reduce costs, all while focusing on their core mission: keeping their customers safe and happy. AutoLex is positioned as the ideal partner for any lawyer wishing to transform their contract review process.

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