Your Research Agent. Deep analysis and pattern detection at a speed no human team can match.
Research is the foundation of good decision-making, but it is also one of the most time-intensive activities in professional services. A junior associate spending six hours on legal research. A product team spending weeks compiling user feedback themes. A recruiter spending hours searching databases for candidates who match a complex requirements profile. The pattern is the same: define criteria, search a large corpus, evaluate matches, synthesize findings, and present actionable insights.
The Research Agent handles the heavy lifting of search, evaluation, and synthesis. In legal, it searches case law databases, evaluates relevance by jurisdiction and precedent weight, and produces structured research memos. In SaaS, it analyzes product feedback across support tickets, NPS responses, and community forums to surface patterns and prioritize feature requests. In recruitment, it searches candidate databases against multi-dimensional job requirements and produces shortlists with match explanations.
The agent does not replace expert judgment -- it accelerates it. A lawyer still needs to evaluate the legal research memo and form a legal opinion. A product manager still needs to decide which feature to build. A recruiter still needs to assess cultural fit. But all of them start from a position of having the relevant data organized, scored, and presented, rather than spending their first hours simply finding it.
Core capabilities
Searches large structured and unstructured datasets against complex, multi-dimensional criteria
Scores and ranks results by relevance, recency, authority, and custom weighting factors
Synthesizes findings into structured reports with citations, confidence scores, and highlighted gaps
Identifies patterns and trends across large volumes of qualitative data (feedback, reviews, case law)
Monitors ongoing sources for new matches and sends alerts when relevant new information appears
What this agent doesn't do
These stay with your human team — by design.
Does not form opinions, make recommendations, or draw legal conclusions -- presents organized findings for human interpretation
Flags conflicting sources and ambiguous results rather than resolving them autonomously
Will not access restricted databases or information sources without proper authorization credentials
Clearly labels confidence levels for all findings and distinguishes between strong matches and speculative connections
How this role differs by industry
| Industry | What it does | |
|---|---|---|
| Legal | Marcus performs legal research across Westlaw and LexisNexis simultaneously, Shepardizing every citation. He organizes findings by jurisdiction, relevance, and precedent weight, produces structured research memos with confidence ratings, and flags areas where case law is conflicting or where a jurisdiction has not yet ruled. Marcus turns a six-hour research task into a 30-minute review. | View |
| SaaS | Listen aggregates product feedback from support tickets, NPS responses, in-app surveys, community forums, and social media. It categorizes feedback by theme, feature area, and sentiment, identifies recurring patterns, and produces prioritized reports showing the top feature requests, friction points, and usability issues driving support volume. | View |
| Recruitment | Hannah searches candidate databases against multi-dimensional job requirements including skills, experience depth, career trajectory, location, and salary expectations. She identifies passive candidates from the existing database whose profiles align with hard-to-fill roles and provides match explanations that go beyond keyword matching to inferred competency and career trajectory assessment. | View |
Common integrations
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