How can artificial intelligence support judges in their work? The use of artificial intelligence within the judiciary and the public sector is becoming increasingly urgent due to the sharp increase in workload. The controlled and secure use of artificial intelligence can speed up work processes and enable sustainable digitalization. <\/span><\/span><\/h6>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>The steadily increasing workload per employee is visible in almost all areas of work. Mass proceedings are becoming an ever-increasing problem<\/span> for judges (see statement by the German Association of Judges<\/a> ). Examples of mass proceedings include claims for damages for diesel vehicles or compensation in case of flight delays. Online platforms and specialized law firms are responsible for an ever-increasing number of legal actions in an ever-shorter period of time. In addition, the same pleadings are often used without considering the individual case. This results in extensive pleadings with many attachments and masses of pages where only a small part of the attachment is relevant to the case. Judges must work through all of this within set deadlines. However,<\/span> as the cases from the mass proceedings<\/span> are usually similar<\/span>, the level of monotonous work increases in addition to the workload. A combination that challenges and burdens the judge. <\/span><\/p>\nArtificial intelligence (AI) can help here<\/span> by facilitating process management. Since mass processes always involve the analysis and further processing of texts, AI techniques from Natural Language Processing, NLP<\/span>, can be used here. The field of NLP deals with the understanding and processing of language in texts. AI can be used for different purposes. On the one hand, the AI can read texts and write a summary or extract information from a text and assign it to categories (Name Entity Recognition – NER). With its STAN <\/a>(Semantic<\/span>Text<\/span> Analysis<\/span>) project, Westernacher Solutions has specialized in extracting information from legal documents. This allows PDF files or scanned documents to be categorized (lawsuit, judgment, …) and procedural information to be extracted from documents<\/span>. For example, parties involved, their names and addresses, the amount in dispute, subject area and file number can be recorded. All of this structured information can be used to direct documents received by the court to the relevant files, databases or judges. Judges then receive all the necessary information on the new documents in a brief overview. <\/span><\/p>\nThis AI support <\/span>is an enormous relief, especially when it comes to preparing private lawsuits<\/span> or lawsuits via online platforms. This is because the XJustiz data format used for electronic legal transactions, in which all information is normally available in digital and structured form, is not used here. Document data, process data and process information would then have to be created manually in these cases. With the use of AI, this monotonous and time-consuming step is automated. The process of case recording process all relevant process information can faster and more efficient<\/span>.<\/span><\/p>\nThe extraction of process information has yet another advantage. Judgments, e.g. civil court decisions, must be published anonymously. Within the STAN project, all information from legal documents, including judgment decisions, is recognized and marked. This can be used as preparation for a further step, namely the anonymization of the decisions. As a first step, all information can be redacted and thus made publicly available. In a second step, the necessary information can also be replaced by predefined or fake values. The text content remains the same, but the judgment has been completely anonymized. The advantage of this step is that the judgments can be used for further processing without losing information or contexts. This is particularly important in the field of NLP for the successful analysis of texts. <\/span><\/p>\nAnonymization therefore not only serves the purpose of the obligation to publish judgments, but is also as preparation for further AI technologies and solutions. <\/span><\/p>\nWesternacher Solutions not only offers an opportunity to speed up the work of judges through mass proceedings, but also to pave the way for more AI solutions. <\/span><\/p>\nIn the spirit of “Go Digital. For Sure.<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>![](\"https:\/\/westernacher-solutions.com\/wp-content\/uploads\/2023\/06\/WPSNEW_Template_rund_Kontakt_MBR2.png\" "\\"WPSNEW_Template_round_contact_MBR2\\"")
<\/span><\/div><\/div><\/div><\/span><\/div><\/div><\/div>Your contact person<\/h4>\n<\/div>Dr. Maria B\u00f6rner<\/h3>\n
Business Development AI<\/p>\n<\/div>
+49 30 58 58 122 – 5<\/a><\/h5>\n<\/div>maria.boerner@westernacher.com<\/a><\/h5>\n<\/div><\/div><\/div>![](\"https:\/\/westernacher-solutions.com\/wp-content\/uploads\/2022\/11\/VCard_MBR_2022-10.png\" "\\"VCard_MBR_2022-10\\"")
<\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>\nALSO INTERESTING<\/h4>\n<\/div><\/div><\/div><\/span><\/a><\/span>![\"Westernacher](\"https:\/\/westernacher-solutions.com\/wp-content\/uploads\/2026\/08\/Westernacher-Solutions_MJP.jpg\" "\\"Westernacher")
<\/span><\/div><\/div><\/div><\/div>Westernacher Solutions takes over operation of “Mein Justizpostfach” (MJP)<\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n<\/span><\/a><\/span>![\"Westernacher](\"https:\/\/westernacher-solutions.com\/wp-content\/uploads\/2026\/08\/Westernacher_Solutions_ISO-IEC-42001.jpg\" "\\"Westernacher")
<\/span><\/div><\/div><\/div><\/div>ISO\/IEC 42001: Why an AI Policy Alone Is Not Enough<\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n<\/span><\/a><\/span>![\"Westernacher](\"https:\/\/westernacher-solutions.com\/wp-content\/uploads\/2026\/06\/Westernacher-Solutions_EU-AI-Act_Digital-Omnibus1.jpg\" "\\"Westernacher")
<\/span><\/div><\/div><\/div><\/div>Digital Omnibus on AI: What the New Deadlines in the EU AI Regulation Mean for AI Compliance<\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n<\/span><\/a><\/span>![\"Westernacher](\"https:\/\/westernacher-solutions.com\/wp-content\/uploads\/2026\/06\/Westernacher-Solutions_Elektronischer-Rechtsverkehr1.jpg\" "\\"Westernacher")
<\/span><\/div><\/div><\/div><\/div>Electronic Legal Transactions: How to Ensure a Successful Implementation<\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n<\/span><\/a><\/span>![\"Westernacher](\"https:\/\/westernacher-solutions.com\/wp-content\/uploads\/2026\/06\/Westernacher-Solutions_eJustice.jpg\" "\\"Westernacher")
<\/span><\/div><\/div><\/div><\/div>eJustice: Digitizing the Justice System for More Efficient and Secure Proceedings<\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n
The steadily increasing workload per employee is visible in almost all areas of work. Mass proceedings are becoming an ever-increasing problem<\/span> for judges (see statement by the German Association of Judges<\/a> ). Examples of mass proceedings include claims for damages for diesel vehicles or compensation in case of flight delays. Online platforms and specialized law firms are responsible for an ever-increasing number of legal actions in an ever-shorter period of time. In addition, the same pleadings are often used without considering the individual case. This results in extensive pleadings with many attachments and masses of pages where only a small part of the attachment is relevant to the case. Judges must work through all of this within set deadlines. However,<\/span> as the cases from the mass proceedings<\/span> are usually similar<\/span>, the level of monotonous work increases in addition to the workload. A combination that challenges and burdens the judge. <\/span><\/p>\n Artificial intelligence (AI) can help here<\/span> by facilitating process management. Since mass processes always involve the analysis and further processing of texts, AI techniques from Natural Language Processing, NLP<\/span>, can be used here. The field of NLP deals with the understanding and processing of language in texts. AI can be used for different purposes. On the one hand, the AI can read texts and write a summary or extract information from a text and assign it to categories (Name Entity Recognition – NER). With its STAN <\/a>(Semantic<\/span>Text<\/span> Analysis<\/span>) project, Westernacher Solutions has specialized in extracting information from legal documents. This allows PDF files or scanned documents to be categorized (lawsuit, judgment, …) and procedural information to be extracted from documents<\/span>. For example, parties involved, their names and addresses, the amount in dispute, subject area and file number can be recorded. All of this structured information can be used to direct documents received by the court to the relevant files, databases or judges. Judges then receive all the necessary information on the new documents in a brief overview. <\/span><\/p>\n This AI support <\/span>is an enormous relief, especially when it comes to preparing private lawsuits<\/span> or lawsuits via online platforms. This is because the XJustiz data format used for electronic legal transactions, in which all information is normally available in digital and structured form, is not used here. Document data, process data and process information would then have to be created manually in these cases. With the use of AI, this monotonous and time-consuming step is automated. The process of case recording process all relevant process information can faster and more efficient<\/span>.<\/span><\/p>\n The extraction of process information has yet another advantage. Judgments, e.g. civil court decisions, must be published anonymously. Within the STAN project, all information from legal documents, including judgment decisions, is recognized and marked. This can be used as preparation for a further step, namely the anonymization of the decisions. As a first step, all information can be redacted and thus made publicly available. In a second step, the necessary information can also be replaced by predefined or fake values. The text content remains the same, but the judgment has been completely anonymized. The advantage of this step is that the judgments can be used for further processing without losing information or contexts. This is particularly important in the field of NLP for the successful analysis of texts. <\/span><\/p>\n Anonymization therefore not only serves the purpose of the obligation to publish judgments, but is also as preparation for further AI technologies and solutions. <\/span><\/p>\n Westernacher Solutions not only offers an opportunity to speed up the work of judges through mass proceedings, but also to pave the way for more AI solutions. <\/span><\/p>\n In the spirit of “Go Digital. For Sure.<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div> Business Development AI<\/p>\n<\/div><\/span><\/div><\/div><\/div><\/span><\/div><\/div><\/div>Your contact person<\/h4>\n<\/div>
Dr. Maria B\u00f6rner<\/h3>\n
+49 30 58 58 122 – 5<\/a><\/h5>\n<\/div>
maria.boerner@westernacher.com<\/a><\/h5>\n<\/div><\/div><\/div>
<\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>ALSO INTERESTING<\/h4>\n<\/div><\/div><\/div>
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![\"Westernacher](\"https:\/\/westernacher-solutions.com\/wp-content\/uploads\/2026\/06\/Westernacher-Solutions_EUDI-Wallet.jpg\" "\\"Westernacher")
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