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Generative Artificial Intelligence and Large Language Models in the Interpretation of Legal Acts: Fact or Still the Future?
07.02.2024 | Ewa Suszek

Generative Artificial Intelligence and Large Language Models in the Interpretation of Legal Acts: Fact or Still the Future?

The year 2024 is yet another consecutive year where generative AI dominates headlines and agendas of most technological conferences, but not only. The presence of this technology and large language models in everyday life is becoming increasingly visible and widespread. It’s not just scientists and IT professionals anymore; lawyers are also beginning to recognize the potential that these innovations hold for their profession.

The role of generative language models in legal work is becoming increasingly prevalent, and their importance is growing. While there are still differences in the perception of these technologies, more and more lawyers see them as an integral part of their daily practice. Some see them as tools that can significantly improve and expedite the process of analyzing legal documents, searching for precedents, or even generating personalized legal advice. Many experts believe that AI will soon not only complement but also become an essential tool to meet the challenges of the modern legal market.

However, despite the growing acceptance and use of generative artificial intelligence in legal work, there are still skeptical voices. Some lawyers fear that automating legal analysis processes could lead to job loss, and decisions made by machines may lack human context and sensitivity. Therefore, there is still a need to continue the debate on the ethical and responsible use of AI in the legal field.

Evolution of Technological Work in Law Firms and Legal Departments

The evolution of legal work continues to accelerate with the advancement of AI technology and the increasing interest in large language models. Thanks to these innovations, lawyers now have access to increasingly sophisticated tools that significantly support their daily work.

These technologies enable faster processing and analysis of vast amounts of legal documents, which is extremely valuable for legal teams. Through them, effective searching of relevant information, identification of key clauses, and risk assessment are possible, speeding up decision-making processes and ensuring greater precision in legal work. Furthermore, automating these processes allows for the efficient utilization of human resources, leading to the optimization of time and costs associated with performing legal duties.

The evolution of work related to the use of AI and large language models is transforming the way lawyers analyze documents and create new ones. As a result, these processes become more efficient, and the quality of legal services offered to clients improves. It is worth noting that further development of these technologies will continue to shape the future of legal work, potentially leading to new opportunities and challenges for the entire industry.

Fact or Future?

The question of whether generative artificial intelligence and large language models have already become commonplace in the interpretation and analysis of legal documents or are still in the development stage is complex and surrounded by a certain degree of uncertainty. On the one hand, we observe increasing interest and application of these technologies by companies and legal institutions, suggesting that they are already being used in practice. Their increasingly widespread adoption in various business sectors is also evident, which may indicate a gradual transformation into everyday life.

On the other hand, many organizations are still experimenting with these tools and are only beginning to show interest in them, indicating that their full implementation may still take time. There are also challenges related to trust in these technologies and concerns about their impact on the quality of legal work, as well as issues related to data security and privacy. Furthermore, the continuous development and improvement of AI and language models suggest that the future of these technologies is still not entirely predictable, which may affect the pace of their full implementation.

Therefore, the question of whether generative artificial intelligence and large language models are already commonplace in legal work or still represent a future element remains open and requires further observation and analysis. However, undeniable progress in this area is visible, suggesting that they are becoming increasingly common and influential in the interpretation and analysis of legal documents.

The Future of AI Utilization in Legal Professionals’ Work

Technological advancement, especially in the field of artificial intelligence (AI), is opening up new possibilities and changing the landscape of legal work. The future of AI utilization in this field looks promising, offering many potential benefits and innovative solutions.

Automation of Routine Tasks:

AI can be used to automate many routine legal tasks, such as reviewing and analyzing documents, drafting contracts, or searching for precedents. This allows lawyers to focus on more complex and strategic aspects of their work.

Precise Analysis and Forecasting:

Advanced AI algorithms can conduct analysis of large legal data sets, identify patterns and trends, and forecast legal case outcomes. This enables lawyers to make better-informed decisions and develop more effective legal strategies.

Improving Access to Legal Services:

The use of AI can contribute to improving access to legal services by facilitating access to legal information, providing legal advice, and streamlining the legal process. This is particularly important for individuals and social groups with limited access to traditional legal services.

Personalization of Legal Services:

AI enables the personalization of legal services by analyzing clients’ preferences, histories, and needs. As a result, lawyers can provide more personalized advice and solutions that better meet individual client needs.

Increasing Efficiency and Reducing Costs:

The use of AI can contribute to increasing the efficiency of lawyers’ work and reducing the costs of legal operations by automating processes, optimizing document management, and minimizing the risk of errors.

Security Aspects of Data

With the development of AI in legal work, new challenges related to data security arise, especially in the context of using shared models by multiple firms. In the interpretation of legal acts, which often contain sensitive information, it is crucial to ensure adequate measures for the protection of personal data and the confidentiality of documents. Therefore, it is essential for AI technologies used in legal work to be properly secured and controlled.

Protection of Personal Data:

Data contained in legal acts may include sensitive personal information, such as customer personal data, financial information, or medical data. The use of shared AI models by many firms may pose a risk of privacy and confidentiality breaches of this data. Therefore, it is important for AI technologies to provide appropriate mechanisms for the protection of personal data, such as anonymization, pseudonymization, and encryption.

Maintaining Document Confidentiality:

Interpreting legal acts often involves access to confidential documents, such as contracts, agreements, or court documents. The use of shared AI models by different firms may pose a risk of unauthorized disclosure of these documents or breaches of their confidentiality. Therefore, it is necessary to ensure adequate data protection measures, such as access control, activity monitoring, and the use of authentication and authorization mechanisms.

Risk Management and Compliance with Regulations:

When using shared AI models in legal work, it is also important to manage the risks associated with data security and ensure compliance with applicable legal requirements and regulations regarding data protection. Companies must consider the legal requirements for data processing, reporting security incidents, and data protection when sharing AI models.

Continuous Monitoring and Security Audit:

In the context of using shared AI models by multiple firms, continuous monitoring and security auditing of data are also important to identify and mitigate potential threats and ensure compliance with legal and regulatory requirements. Security audits should include risk assessment, system testing, and tracking security events to respond quickly to incidents.

Using Vector Databases

To ensure even greater data security and enhance the efficiency of legal document interpretation processes, vector databases are increasingly being utilized. They enable quick and precise searching of relevant text fragments, allowing lawyers to more effectively locate essential information in legal documents and minimize the risk of overlooking key aspects.

Fast Indexing and Searching:

Vector databases enable rapid indexing of large collections of legal documents, facilitating efficient searching of specific text fragments. By employing advanced natural language processing algorithms, vector databases can generate vector representations for each document, enabling quick comparison and similarity searching between documents.

Precise Identification of Relevant Information:

Through semantic and contextual analysis, vector databases allow for the precise identification of relevant information in legal documents, even in cases of diverse terminology and formulations. The algorithms used in vector databases can account for various expressions and their meanings in the context of the law, contributing to more effective document interpretation.

Minimization of Risk of Overlooking Key Aspects:

By conducting precise searching and analysis of texts, vector databases assist lawyers in minimizing the risk of overlooking key aspects in the interpretation of legal acts. With the ability to quickly find relevant text fragments and identify connections between different documents, lawyers can ensure that their analysis is comprehensive and accurate.

Integration with Other AI Tools:

Vector databases can be easily integrated with other AI tools, such as information extraction systems, document classification, or report generation. This allows for the development of comprehensive systems supporting the work of lawyers, leveraging advanced AI technologies to optimize the interpretation and analysis of legal documents.


Unstructured Data

Currently, a large portion of data contained in legal documents is unstructured, meaning it does not conform to traditional forms of analysis. However, with the use of advanced natural language processing techniques, AI can assist in analyzing unstructured data, enabling the identification of relevant information, trends, and relationships that may be useful in tailoring appropriate legal strategies.

Identification of Relevant Information:

Through natural language processing algorithms, AI systems can extract pertinent information from unstructured legal data, such as party names, dates, amounts, and contractual clauses. This allows lawyers to quickly locate and assess key points in legal documents, facilitating decision-making and the preparation of suitable legal strategies.

Identification of Trends and Relationships:

Analyzing unstructured legal data using AI technology also enables the identification of trends and relationships that may be significant for business or strategic decision-making. For instance, AI systems can detect recurring patterns in contracts or legal precedents, allowing for the prediction of future actions or responses to changes in the legal environment.

Tailoring Legal Strategies:

By analyzing unstructured data, lawyers can better tailor legal strategies to specific cases or situations. Understanding the context and identifying key information facilitates the development of more precise and effective legal strategies, resulting in better outcomes for clients or businesses.

Identification of New Trends:

Analyzing unstructured data using AI technology can also help identify new trends or areas for further research. Through the analysis of large datasets of legal data, AI systems can detect emerging trends in legal regulations, judicial practices, or competitive actions, enabling earlier responses to changes in the business or regulatory environment.

What Will the Year 2024 Bring?

In summary, we observe the dynamic development of AI technology and large language models, which are increasingly integrating into daily legal practice, bringing many benefits and changing the way lawyers work. However, despite the progress, many aspects of using these technologies in legal practice are still in the developmental and experimental stage.

The future of the legal industry will undoubtedly be closely tied to further technological advancement, where AI and large language models will become an integral part of lawyers’ daily work. They will support the processes of interpreting legal acts, analyzing documents, and personalizing legal advice. However, equally important will be continuous adaptation to changing market and legal conditions, as well as appropriate regulations and standards regarding data protection and ethics in technology use.

The present, on the other hand, is a time when the legal industry can already benefit from advanced AI tools in their work, gaining greater efficiency, speed, and precision in the analysis and interpretation of legal documents. The year 2024 is a period in which experimenting with new technologies and refining skills in their professional practice is possible.

Ultimately, the future of the legal industry will be based on a harmonious combination of traditional working methods with modern tools and technologies, enabling lawyers to efficiently, professionally, and effectively serve their clients in a changing business and legal-regulatory environment.


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