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.
01
Scoping
Clarifying questions force precision before research starts.
02
Research
Agents run in parallel across academic, market, technical, and legal tracks.
03
Evidence
Every claim cited, every finding scored, contradictions flagged.
04
Delivery
Outputs are structured, citation-backed, and stakeholder-ready.
Email in, report out.
Three steps. No login, no dashboard, no prompt engineering.
Send an email
Tell us what you want to understand. We'll ask the right questions to make sure we get it right.
Your question becomes a research tree
Decomposed into hundreds of sub-questions, each investigated by a specialized agent. One searches 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. Confidence scores on every finding. 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.
Deep Research optimizes for seconds. We built a system that optimizes for being right, even when that takes days.
Days, Not Seconds
Not a 30-second autocomplete. Your question is researched for days, with the same thoroughness you'd expect from a dedicated analyst.
Parallel Research, Not Parallel Search
Each branch of your research tree is worked by agents that read papers, extract entities, build a knowledge graph, and cross-reference findings. Simultaneously, across hundreds of sub-questions.
Cited, Scored, and Challenged
Every claim links to its source. Every finding includes a confidence score. And when newer research contradicts an older claim, the report flags it instead of burying it.
Knows What It Doesn't Know
The system argues with itself. Adversarial agents challenge findings, flag contradictions, and score confidence from three independent signals. The report tells you what's established and what's contested.
3 independent confidence signals
One ran for 30 minutes. One ran for 3 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 $0.0B in 2024 and is projected to reach $0.0B by 2030, a 0.0% CAGR (Grand View Research, 2024).
0% of Am Law 100 firms use at least one AI research tool (ABA TechReport 2024).
Relativity holds 0% market share in e-discovery; 0% 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.