Like real people, Engram's models use both neural memories and written notes to tackle hard tasks.
Many legal tasks require reingesting the same persistent context: the firm filesystem. Scaling compute preemptively on that filesystem can obviate many challenges at inference time and unlock new types of behaviors.
Today we're publishing our first research blog, Understanding a Law Firm through Study.
We're sharing a glimpse of a future where agents are trained with native memory: