Legora CTO Jacob Lauritzen on Building Legal Agents Without Viewing Client Data
Building Legal Agents When You Can't See the Data - Jacob Lauritzen, CTO of Legora
Testing an agent you are never allowed to observe is a concrete engineering constraint most teams have not faced, and Legora's approach offers patterns applicable to any privacy-bound deployment in healthcare, finance or law. Developers building client-facing agents can borrow these methods to design evaluation pipelines that respect data boundaries. It also signals how confidentiality requirements shape product architecture in professional-services AI.
Legora's agents serve law firms, but client confidentiality rules mean the company cannot see any of the data its agents process. CTO Jacob Lauritzen explains how the team builds and tests agents under this constraint. The discussion covers techniques for validating agent behaviour without access to real case material. Legora is described as one of the fastest-growing companies in legal AI.
Building Legal Agents When You Can't See the Data - Jacob Lauritzen, CTO of Legora
Legora can’t read a single trace of what its agent does for a lawyer. The data belongs to the law firm’s clients. How do you build and test an agent when you can’t see its work? Jacob Lauritzen is the CTO of Legora, one of the fastest-growing companies...
