Attorly AI is a legal document analysis platform launched on May 1, 2026, by Getia AS and Attorly. It supports tasks that require repeatedly comparing numerous documents and clauses, such as contract review, due diligence, drafting documents, and legal research, within a single working environment. Its core approach is multi-agent analysis, which compares analyses generated by multiple independent models to reveal areas of agreement and disagreement, rather than presenting a single AI response as the final conclusion. This is similar to having multiple lawyers independently read the same contract and compare their opinions on specific issues in a review meeting. According to the provided information, it supports 26 languages and Nordic, EU, UK, and US jurisdictions; however, the specific supported languages, the scope and update frequency of court and legal data for each jurisdiction, should be further verified in the official documentation. When reviewing contracts with general generative AI, even if the responses are smooth, it can be difficult to determine which model's judgment was relied upon or whether alternative interpretations exist. In transactions where common law and civil law systems intersect, similar wording can have different effects depending on the applicable law and mandatory provisions, making it difficult to determine the level of risk based on a single answer. The key differentiator of Attorly AI is that it combines multi-jurisdictional analysis with comparison of opinions between models. By displaying not only the parts where the models reach the same conclusion but also the parts where interpretations differ, users can utilize the discrepancies as risk signals that require human review, rather than hiding them as errors. However, these outputs should be treated as supporting materials to narrow the scope of review, rather than as definitive judgments that replace legal advice, and the accuracy of the cited sources, the method of handling confidential documents, the data retention policy, and the conditions regarding professional responsibility should be verified through the terms of service and security documents. In the review of license agreements for biotechnology companies, the scope of use of research materials, the assignment of intellectual property rights, improvements, inventions, royalties, sublicenses, and post-termination obligations are all interconnected. Researchers can reduce initial review time by specifying the contract and review jurisdiction in Attorly AI, extracting relevant clauses, and then prioritizing the issues with the lowest agreement between models for legal staff to review. For example, in a clinical trial service agreement between a Nordic supplier and a UK customer, the clauses regarding limitation of liability, data privacy, audit rights, and subcontracting from the perspectives of UK and EU jurisdictions can be compared, and only the clauses with different interpretations can be separated into a separate review queue. Specific file formats, document size limits, jurisdiction selection parameters, and result export functions should be verified in the official product documentation. In a multinational technical due diligence process, it can also be used to identify clauses regarding change of control, exclusivity, restrictions on assignment, data transfer, and regulatory compliance in a candidate company's contract bundle to create a draft list of transaction risks. Subsequently, the identified clauses can be compared with the original documents in the data room and verified by external legal databases and the judgment of the responsible lawyer, which can separate repetitive document exploration from professional interpretation. The visualization of discrepancies between models is a design suitable for legal tasks where the priority of review and the basis for judgment are more important than the definiteness of the answer. However, the actual accessibility of the official website and terms of service, the latest product specifications, the method of presenting the basis for the output, and the data security conditions were not externally verified during this writing process, so separate verification is required before publication.

Attorly AI is a legal document analysis platform that was introduced as being launched on May 1, 2026, by Getia AS and Attorly. It supports tasks that require repeatedly comparing many documents and clauses, such as contract review, due diligence, document drafting, and legal research, all within a single working environment. The core approach is multi-agent analysis, which compares analyses generated by multiple independent models to reveal points of agreement and disagreement, rather than presenting a single AI response as the final conclusion. It's like having multiple lawyers independently read the same contract.