JOURNAL ARTICLE

II. The Advocate's Office and Royal Justice in East Francia and the German Kingdom, c. 800–c. 1125.

  • Published In: Zeitschrift der Savigny-Stiftung fur Rechtsgeschichte: Germanistische Abteilung, 2025, v. 142, n. 1. P. 78 1 of 3

  • Database: Legal Source 2 of 3

  • Authored By: Bachrach, David S. 3 of 3

Abstract

The office of the advocate has received enormous scholarly attention since the later nineteenth century. In his recent monograph on this subject, Corruption, Protection and Justice in Medieval Europe: A Thousand Year History, Jonathan Lyon has sought to provide a fundamentally new approach by emphasizing the ways in which the office of the advocate can be used to understand conflicts among numerous holders of power, both secular and ecclesiastical, over the control of property and the judicial authority over people. In doing so, however, Lyon has drawn overly broad conclusions and overlooked important elements of both con-tinuity and change in the relationship between the royal government and advocates in the German speaking lands, particularly in the early medieval period. The burden of the current study is to illuminate the ongoing efforts, and frequent success, of the rulers of the Carolingian, Ottonian, and Salian dynasties to exercise control over advocates as they carried out the fundamentally public duty of providing justice to the king's subjects. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Zeitschrift der Savigny-Stiftung fur Rechtsgeschichte: Germanistische Abteilung. 2025/06, Vol. 142, Issue 1, p78
  • Document Type:Article
  • Subject Area:Biography
  • Publication Date:2025
  • ISSN:03234045
  • DOI:10.1515/zrgg-2025-0003
  • Accession Number:186592533
  • Copyright Statement:Copyright of Zeitschrift der Savigny-Stiftung fur Rechtsgeschichte: Germanistische Abteilung is the property of De Gruyter and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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