Fact construction as a missing layer in legal AI: a practice-grounded framework for evaluating multi-agent legal consultation

Hsuan-Lei Shao, Ying-Chu Yu, Sieh-Chuen Huang

Open source

DOI: 10.3389/frai.2026.1896166
Published: 2026-10-20
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1896166,
  title = {Fact construction as a missing layer in legal AI: a practice-grounded framework for evaluating multi-agent legal consultation},
  author = {Hsuan-Lei Shao and Ying-Chu Yu and Sieh-Chuen Huang},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1896166},
  url = {https://doi.org/10.3389/frai.2026.1896166}
}

RIS

TY  - JOUR
TI  - Fact construction as a missing layer in legal AI: a practice-grounded framework for evaluating multi-agent legal consultation
AU  - Hsuan-Lei Shao
AU  - Ying-Chu Yu
AU  - Sieh-Chuen Huang
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1896166
UR  - https://doi.org/10.3389/frai.2026.1896166
ER  -

APA

Shao, H., Yu, Y., & Huang, S. (2026). Fact construction as a missing layer in legal AI: a practice-grounded framework for evaluating multi-agent legal consultation. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1896166

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crossref · retrieved 2026-11-05T11:52:28.569Z