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2024/02/19 12:50:48

AI in jurisprudence

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Main article: Artificial Intelligence

Directions of AI application in jurisprudence and document management

For 2024, Spydell Finance identified the following areas of application of AI in animation, accounting and document management.

Analysis of legal documents

Analysis of large volumes of legal documents (court decisions, laws, acts and commercial and state contracts). AI can help lawyers find the necessary information faster and identify patterns that can be used to make more informed decisions.

Document automation

Automate the process of creating and processing legal documents such as contracts, lawsuits, applications, protocols, and digital signatures. AI can generate these documents based on set parameters and standards, which reduces time and the likelihood of human error.

Improving the quality of documents in accordance with current national and international legislation

AI can track all innovations in law in real time, adapting the documentation to the law in time.

Legal Risk Prediction

Forecasting potential legal risks for companies and individuals by analyzing legislative changes, court decisions and other legal trends.

Personalization of Legal Services and Virtual Assistant

AI can act as a highly professional lawyer for free, quickly and unmistakably. AI can help create personalized legal advice and advice, taking into account the specific circumstances and needs of the client.

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2025: How generative artificial intelligence is applied in jurisprudence

Generative artificial intelligence (GiI) is able to transform legal departments by improving efficiency, reducing risk, and innovating day-to-day operations. Analysts Gartner in a review dated February 19, 2025 outlined six main options for using Genia in jurisprudence.

1. Contract Processing/Data Extraction

GeneAI can revolutionize contract work by automating information extraction and classification. Based on the obtained data, a special searchable database can be formed that significantly improves performance in performing certain tasks, such as control after signing documents and comprehensive verification. This will significantly reduce the burden on employees, which will lead to improved efficiency and optimization of resources. However, in some cases, additional training of AI models or the creation of customized versions of them may be required.

How generative AI is applied in jurisprudence

2. Automated Contract Analysis

GIs can speed up the process of analyzing contracts by identifying provisions that do not meet accepted standards. In this case, automatic adjustments can be made in certain situations. This approach will help improve operational efficiency.

3. Summary of legal documents

Usually, a professional lawyer takes several hours to read and summarize a voluminous document. Genia is able to cope with such a task in a matter of seconds. Artificial intelligence can form brief summaries, highlighting key points and important points. This improves employee productivity, allowing you to get important information and make informed decisions faster. At the same time, various AI-based summarization tools are available. At the same time, human control is needed to ensure the accuracy and reliability of the generated content.

4. Sorting

GIs can significantly speed up the sorting process of incoming documents by quickly analyzing the details of requests and automatically classifying them by type, region, level of risk and urgency. After such an analysis, documents can be automatically sent to the relevant legal departments. In certain situations, Genia can form automated responses or document templates, allowing staff to focus on more complex tasks.

5. Transcription

GeneAI can effectively translate speech into text and compress the resulting documents into brief summaries with key points and conclusions. This improves productivity, freeing employees from routine operations that can be time-consuming. When working with the text, AI will help with the generation of ideas, the preparation of a structure and a thesis plan. The technology saves time by automatically creating excerpts, and after the necessary training, it can be quickly implemented in different departments.

6. Risk analysis

GeniII, trained on a huge amount of quality data, is potentially able to identify risks in contracts. Anticipating possible legal problems, specialists will be able to take preventive measures and protect the interests of the client. This will help prevent financial or temporary losses.

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Generative AI will allow legal departments to more effectively allocate resources and focus on strategic initiatives. Market participants who want to stay competitive will have to embrace these technologies, "says Weston Wicks, Senior Director Analyst at Gartner.[1]
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2023: PwC lawyers begin using OpenAI neural network to speed up work

On March 15, 2023, PricewaterhouseCoopers (PwC), an international network of companies offering consulting and audit services, announced the introduction of artificial intelligence to improve the performance of its employees. Read more here.