EngramLab Publishes First Research Blog on Law Firm Agents
The post details early training of AI agents on synthetic legal data with dual memory systems.
EngramLab released its first research blog titled Understanding a Law Firm through Study. The work shows agents trained with native memory to analyze firm records. Harvey supplied a synthetic dataset built from client matters. A 27B Qwen model trained on the data learned knowledge parametrically and through memory. Gabe Pereyra stated the model outperforms frontier models at lower cost per query. Other posts noted that memory improves personalization and reduces reliance on inference-time search tools.
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:
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16 postsToday 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:
This is a good time to share that I’m taking a sabbatical to work at Engram full time! Our blog post highlights some of the directions we’re taking, building agents that study and learn with complementary memory systems. There's lots of research still to be done, and I’m…
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:
So excited to share our first result! We get agents to study and deeply understand the context of a synthetic law firm we built with @Harvey. By combining text memory and parametric memory in training, we solve complex search and knowledge tasks over the law firm with a 3.3x…
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:
We had Qwen 3.8 study all of the docs in Harvey’s synthetic law firm - the more it studies, the fewer tokens it needs at inference time to respond to the queries
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:
i'm quite excited about this! • it's cool in general that models can generate their own training data and learn from it. wasn't fully clear to me even a year ago that this would work reliably. • the thing that we're trying to build seems really important and no one has built it…
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:
Great working with the @EngramLab team to explore model memory as a way to improve personalization and effective knowledge recall We're particularly excited about how models improve trajectories through memory. Rather than just learning to use search tools better, memory…
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:
