The practical implementation of AI technology in law firms can transform the way legal services are delivered by improving client service quality, optimizing working time, and enabling more precise legal advice. So, what are the practical applications in law firms?
Automated Document Processing and Data Analysis
One of the most common applications of AI in law firms is the automation of document processing. Many tasks related to reviewing, analyzing, and organizing documents – which previously required significant time and effort – can now be automated through natural language processing technology. AI models can analyze and compare documents, extract key information, and automatically classify and archive them, saving lawyers time and enabling quicker retrieval of needed materials. Modern AI systems can also identify inconsistencies, errors, or gaps in documents, thereby enhancing the quality of a law firm’s work.
AI is also used in legal data analysis. Thanks to machine learning and analytical systems, law firms can analyze cases more quickly, review case law, and predict possible case outcomes. These systems are already successfully applied in many applications. They can suggest similar cases and precedents that may aid in case analysis, enabling lawyers to formulate arguments more quickly and effectively. Additionally, AI can serve as a risk assessment tool, helping law firms predict potential consequences of legal solutions or court decisions – particularly useful in legal advisory services for companies.
Case: SK&S Law Firm
For example, the Sołtysiński Kawecki & Szlęzak (SK&S) law firm is one of the leaders in Poland’s legal market, serving clients from around the world. The firm’s team comprises over 180 lawyers, including 37 partners, and their practice covers all key areas of business law. To meet the challenges of modernity and enhance competitiveness, SK&S implemented AI – based solutions such as Microsoft Copilot. The goal is to streamline legal processes and provide clients with faster and more effective services.
In this case, Microsoft Copilot is not just an advanced search engine or a tool that independently performs complex substantive work. Rather, it acts as an assistant supporting daily tasks such as summarizing meetings, verifying arguments, drafting emails, and shortening long legal texts. Copilot also enables the generation of legal document sections based on input guidelines. Despite these capabilities, lawyer oversight remains essential for substantive accuracy.
Lawyers at the firm use AI in areas such as text translation, terminological consistency analysis, and even drafting first versions of documents. This tool speeds up work while allowing a greater focus on more complex, creative tasks. According to a report by McKinsey Global Institute, around 20% of legal tasks can currently be automated with AI, and generative AI is significantly accelerating this process. Automation particularly covers document management, information retrieval, and legal analysis, allowing lawyers to focus on strategic aspects of cases. Experts predict further growth in AI applications, making this technology a key part of SK&S’s development strategy.
Virtual Assistants and Legal Provisions Analysis
In the area of client service, AI also finds applications in tools such as chatbots and virtual assistants, which can answer basic client questions, schedule appointments, or provide updates on case status. Thanks to natural language processing, chatbots can engage in conversations on basic legal matters, enabling clients to get quick answers without needing to involve a lawyer. Modern AI assistants can also gather initial information from clients, simplifying new case registration and allowing lawyers to focus on more complex tasks.
Another example involves the Sawaryn & Partners Law Firm, which specializes in serving companies from the technology, IT, e – commerce, and startup sectors. The firm faced a challenge of effectively processing large volumes of court documents, transcripts, and audio recordings. In collaboration with the TTMS team, they decided to implement an AI – based solution to automate documentation processes, streamline materials analysis, and accelerate decision – making.
The firm was dealing with a large inflow of case – related documents. Manual management and analysis of materials – including court transcripts, meeting notes, and hearing recordings – consumed significant time and human resources. This process was also prone to errors, reducing operational efficiency and delaying decision – making. To address these challenges, the partner company proposed implementing an advanced AI – powered documentation processing system using the Azure Open AI platform. The aim was to automate the analysis of documents and recordings to enhance the firm’s daily operations and enable faster generation of summaries and updates based on specific requests. The initiative was ultimately a major success, bringing numerous benefits.
Looking Ahead
The application of artificial intelligence in law firms is a step toward the future, allowing not only for improved operational efficiency but also increased competitiveness in the legal market. AI technologies not only simplify and automate processes but also support lawyers in their daily work, enabling them to deliver legal services more accurately, quickly, and efficiently. However, to fully leverage the potential of AI, proper staff training and a strategy for fully integrating AI into daily firm operations are essential.
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Graphics by: Microsoft Designer AI
