Execute end-to-end research workflows with a coordinated team of research agents.
legalgain is the first AI-native legal research platform to deploy a coordinated team of agents to deliver outcomes, not search results. Starting from attorney-provided issues, the team delivers legal work product including claim analyses, research memos, and case briefs.
Provide the facts for a client matter to create an issue-based Research Plan
Start with a research report instead of using search-driven tools to create it
Legalgain’s DSLM thinks like a lawyer to answer complex legal questions
Add case law to your chatbot of choice via MCP or connect your firm’s chatbot
Use Vertex Search to find the right cases by issue and context, not just by keyword
Integrate your firm’s data repositories with Legalgain to automate workflows
legalgain operates through a coordinated team of research agents that work together like associates staffed to a matter.
Legacy legal research platforms provide access to databases so lawyers can search the law in pursuit of an outcome. legalgain delivers the outcome of that process first, enabling lawyers to focus immediately on strategy and execution.
Start with the answer to a legal question instead of searching for it. legalgain’s team of research agents delivers issue-based outcomes like research memos, claim analyses, and case briefs— so attorneys can move from search to strategy.
While legacy research platforms charge for access to databases, legalgain charges for research at the project level— so attorneys are only billed once finished work product is delivered.
Learn about the data and AI engine standards needed for reliable legal AI.
legalgain is currently in beta and accepting firms on a rolling basis. Founding firms receive early platform access, a complimentary research report per attorney, and founding member status and pricing.
legalgain is built on a commercial-grade, AI-enhanced corpus of case law spanning all 50 states and federal jurisdictions. The underlying database is semantically tagged for AI readability and graphically abstracted into a relational map of the law.
legalgain is built on a proprietary, legal-domain-specific AI model. The legalgain engine is explicity designed for complex research workflows and trained only on legal content.
Outcome-first legal research means attorneys receive a finished work product, not a list of results to sift through. legalgain’s agents execute the research to deliver an answer-ready memo for attorney review, allowing their judgment to enter the research process earlier.
Consumption-based pricing means firms pay for delivered work product, not subscription-based access to search a database. legalgain charges per research outcome, making technology cost 100% allocable to a client’s matter.
Legalgain is currently in beta. Join the waitlist to receive: