Deep Research gives you a summary.
Long Research gives you a report.
15 specialized agents. Six retrieval channels. Days of continuous research. A report you’d put your name on.
Email in, report out.
Three steps. No login, no dashboard, no prompt engineering.
Send an email
Write the question the way you would brief an analyst. Within one business day, we reply with questions that pin down scope, depth, and audience.
Your question becomes a research tree
Decomposed into hundreds of sub-questions, each investigated by a specialized agent. One reads the academic literature. Another crawls the open web. Another builds a knowledge graph. Another challenges the findings. They work in parallel, continuously, for days.
A report that shows its work
Every claim traced to a primary source. An explicit account of where the evidence is strong and where it's thin.
one email → days of parallel research → 50 cited pages
What changes when you stop optimizing for speed.
We built a system that optimizes for being right, even when that takes days.
Research in rounds
The research plan is revised as findings come in. Where coverage is thin, the system writes follow-up questions and runs another round.
Knows what it doesn't know
The system argues with itself. Adversarial agents challenge findings as they emerge and flag contradictions between sources. Each finding's confidence score combines three independent signals.
Parallel research, not parallel search
Agents extract entities and relationships from what they read into a shared knowledge graph. A finding in one branch of the research tree becomes context for every other branch.
Old claims, new evidence
Sources from different years are compared. When newer research contradicts an older claim, the report flags the conflict instead of burying it.
- Self-reflection
- Cross-answer consistency
- Formal verification
One ran for 30 minutes. One ran for 2+ days.
The legal AI market is growing rapidly and expected to be worth several billion dollars by 2030.
Key areas include document review, legal research platforms, and contract analysis.
Large firms are leading adoption, with many already using AI tools in their daily workflows.
The global legal AI market was valued at $1.2B in 2024 and is projected to reach $8.7B by 2030, a 38.4% CAGR (Grand View Research, 2024).
73% of Am Law 100 firms use at least one AI research tool (ABA TechReport 2024).
Relativity holds 40% market share in e-discovery; 61% of legal depts plan to consolidate AI vendors by 2027 (Gartner, Q3 2024).
Start your research
with a single email.
Send an email. Get a report.