A sponsored post on Above the Law suggests that law firms' AI efforts are being held back by a familiar culprit: redundant, obsolete, and trivial data, or ROT. The post states that if you are like most lawyers, this kind of data is probably having an unwelcome effect on your AI outputs. It frames ROT data as a common obstacle rather than an edge case.
The post does not offer specific metrics or case studies, but it implies that law firms need to confront their data hygiene before AI can deliver reliable results. The argument is that messy data undermines the very tools firms are trying to adopt, making cleanup a prerequisite for effective AI use.
Because the piece is sponsored, it should be read as a promotional perspective rather than independent analysis. Still, it highlights a practical concern that many firms may recognise: AI is only as good as the data it is trained on, and legal data is often far from clean.