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Seeking information in the registers of the French royal chancery was never an easy task. During the conference Administrer par l'écrit au Moyen Âge held at the IRHT in Paris on June 1st, 2016, our colleague Olivier Canteaut pointed out during our joint paper, it also applied to medieval researchers. Indeed, even in the Middle Ages, reading registers cover to cover was not excluded for retrieving a particular document because tables of contents and rubrics were more than often not sufficient to find the information that was needed. And to avoid such a tedious task, the king was sometimes gathering living witnesses of his predecessor's act rather than searching for a copy in his registers! Still today, making research in those registers is daunting, especially for the time period following the reign of Jean II (1350-1364) where modern inventories are either partial or difficult to access.A list is provided in the Virtual Inventory Room of the French National Archive [direct link to JJ inventories][caption id="attachment_43" align="alignnone" width="1173"] Screenshot of the list of inventories to access the JJ series in the French National Archive[/caption]&#160;Therefore, as the main technological challenge of the HIMANIS project is to develop effective new tools for retrieving information in a massive document corpus like the chancery registers, how about merging ancient and new technologies?Auto-indexation of the chancery register will provide keyword spotting across all the documents kept in the chancery registers. Combining this with all the existing materials (converted to electronic format), we aim at allowing simultaneous browsing between the auto-indexed digital images, document level segmentation, existing inventories, edited documents and indexed places names and persons.[caption id="attachment_44" align="alignnone" width="1424"] IRHT's interface proposal to access the Chancery corpus: aligning and merging early modern inventories (tables of contents), 20th c. inventories and indexes, partial editions, and the result of automated indexing performed in the HIMANIS project[/caption]&#160;