METODOLOGIAS ÁGEIS NA IMPLEMENTAÇÃO DE SOLUÇÕES DE IA E RPA EM ESCRITÓRIOS DE ADVOCACIA E DEPARTAMENTOS JURÍDICOS

Abstract

Digital transformation has profoundly impacted the legal sector, particularly in law firms facing increasing competitive pressures and demands for greater operational efficiency. A phenomenon of spontaneous and bottom-up adoption of Artificial Intelligence (AI) and Robotic Process Automation (RPA) tools has been observed, characterized by diffuse and non-formalized use prior to strategic organizational incorporation. In this context, the need arises to understand how agile methodologies can structure and optimize the implementation of these technologies in legal environments. The general objective of this research is to analyze, in scientific literature, the application of agile methodologies in the management of the implementation of Artificial Intelligence and Robotic Process Automation solutions in law firms and legal departments. The specific objectives are: (a) to map, in the scientific literature, the agile methodologies applied to the management of AI and RPA projects in the legal context; (b) to propose an agile management model for the implementation of AI and RPA solutions in law firms and legal departments, grounded in the reviewed literature; and (c) to develop didactic material, as a technical-technological product, to operationalize the proposed model for legal managers. Regarding the methods, a qualitative approach was adopted, based on a rapid review with a scoping orientation, conducted according to the guidelines of the Joanna Briggs Institute and the Cochrane Rapid Reviews Methods Group, reported following PRISMA-ScR and PRISMA 2020, with a protocol registered on the Open Science Framework and a time window from 2022 to 2026. Of the 317 records identified, four studies were included after screening and consensus between reviewers. An emerging and still scarce field was mapped: the intersection between agile management, AI/RPA, and the legal domain is absent from the international indexed databases and has materialized in four recent Brazilian studies (2022 to 2025), with a predominance of Scrum as the operating framework and a concentration in public legal services. Based on this synthesis, an agile management model was proposed, and a technical-technological product was developed, in the form of didactic material (a series of video lessons, a PDF guide, and editable templates), to operationalize it for legal managers. It is concluded that short iterative cycles and validation by domain experts are a condition for the feasibility of implementing AI and RPA in the sector, with a persisting gap between documented practice and academic literature.