{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T12:07:03Z","timestamp":1764850023249,"version":"3.46.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686387","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T00:00:00Z","timestamp":1764633600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,2]]},"abstract":"<jats:p>Legal documents are often long, dense, and difficult to comprehend, not only for laypeople but also for legal experts. While automated document summarization has great potential to improve access to legal knowledge, prevailing task-based evaluators overlook divergent user and stakeholder needs. Tool development is needed to encompass the technicality of a case summary for a litigator yet be accessible for a self-help public researching for their lawsuit. We introduce PersonaMatrix, a persona-by-criterion evaluation framework that scores summaries through the lens of six personas, including legal and non-legal users. We also introduce a controlled dimension-shifted pilot dataset of U.S. civil rights case summaries that varies along depth, accessibility, and procedural detail as well as Diversity-Coverage Index (DCI) to expose divergent optima of legal summary between persona-aware and persona-agnostic judges. This work enables refinement of legal AI summarization systems for both expert and non-expert users, with the potential to increase access to legal knowledge. The code base and data are publicly available in GitHub (https:\/\/github.com\/sampangtf\/persona-matrix).<\/jats:p>","DOI":"10.3233\/faia251585","type":"book-chapter","created":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T12:04:46Z","timestamp":1764849886000},"source":"Crossref","is-referenced-by-count":0,"title":["PersonaMatrix: A Recipe for Persona-Aware Evaluation of Legal Summarization"],"prefix":"10.3233","author":[{"given":"Tsz Fung","family":"Pang","sequence":"first","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Maryam","family":"Berijanian","sequence":"additional","affiliation":[{"name":"Michigan State University"}]},{"given":"Thomas","family":"Orth","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Breanna","family":"Shi","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Charlotte S.","family":"Alexander","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Legal Knowledge and Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA251585","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T12:04:46Z","timestamp":1764849886000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251585"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,2]]},"ISBN":["9781643686387"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251585","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,2]]}}}