Evidence before polish
A material fact should be easy to inspect at the original source.
We are building an evidence-first workspace for legal teams who have to understand large medical-record sets and stand behind the facts they use.
The hardest part of record review is often not finding a fluent summary. It is knowing whether a material statement is supported and where a reviewer can confirm it.
That is why Shivru AI centers the original page throughout chronology, case questions, records-and-bills review, and attorney decisions. The product is shaped around the actual handoffs between paralegals, attorneys, and firm operations.
We believe the best AI-assisted workflow makes professional judgment more informed and more visible. It should make it easier to challenge an item, resolve an exception, and explain what remains open.
A material fact should be easy to inspect at the original source.
Corrections, notes, approvals, and unresolved questions are first-class work.
We would rather demonstrate a checkable workflow than promise a result we cannot substantiate.
A short demo is the clearest way to see how source-linked review feels in practice.