- Specialization
- Not classified
- Business
- Software Applications
- Market
Legal Servicesand 1 more market valuesLess
- Financial Services
- Ecosystem
- Applications
- Customers
Enterprisesand 1 more customers valuesLess
- Small Businesses
More details
- Organization type
- Commercial Company
- Ecosystem
- Applications
- Business
- Software Applications
- Specialization
- Not classified
- Market
- Legal Services, Financial Services
- Customers
- Enterprises, Small Businesses
- Delivery models
- Hosted Software
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Pre Seed
- Reported funding amount
- Not classified
About
Mage Legal builds AI-powered legal diligence software for M&A, ECVC, private-equity, and corporate legal teams. Its platform scans entire data rooms, identifies contractual risks, extracts key terms, compares redlines, and generates diligence memos and transaction deliverables much faster than traditional manual review.
Market
Mage competes in AI-powered legal technology for M&A and transactional due diligence, positioning itself as an end-to-end platform that moves from data-room intake and issue spotting through memos, disclosure schedules, redline comparison, and closing deliverables. It differentiates from point tools focused primarily on clause extraction by combining broad transaction workflows with a legal-specific reasoning layer, document-relationship analysis, amendment-chain resolution, and multi-model consensus.
Mage targets law firms, private-equity deal teams, M&A attorneys, and corporate legal or corporate-development departments handling high-stakes transactions and large data rooms. Its strongest fit is for teams seeking to accelerate diligence, reduce outside-counsel dependence, and scale transaction volume without proportionally increasing headcount.
At a Glance
Problem
Transactional legal diligence is a slow, labor-intensive bottleneck in M&A, financings, and private-equity transactions. Attorneys must work through messy data rooms, long agreements, amendments, and incomplete document sets to identify risks, gaps, and obligations, while clients expect deals to move quickly. The economic pain is therefore the cost of repetitive legal review and the opportunity cost of delayed transactions: Mage positions the workflow as moving from weeks to days, or from days to minutes, rather than requiring teams to scale review headcount linearly.
The killer use case is a live transaction in which counsel needs to review an entire data room, surface material issues, and produce diligence deliverables quickly. Mage is aimed at preventing missed risks and keeping a deal moving from initial document review through closing.
Product / Service
Mage is a web-based AI legal-diligence platform for attorneys and transactional teams. Users connect or upload a data room, after which the system classifies documents, extracts key terms, checks for risks and missing coverage, and identifies red and yellow flags. It is designed to cover the workflow end to end rather than act as a narrow document-review tool.
The product turns those findings into practical deal outputs, including firm-branded diligence memos, contract redline comparisons, variance detection, disclosure schedules, and closing checklists. Its stated coverage includes 274-plus clause types, 21 risk categories, major data-room integrations, and support for more than 80 languages. The benefit is faster, more consistent diligence with a clearer audit trail from source documents to recommendations and closing work product.
Market
Mage competes in legal technology, specifically AI-powered M&A, financing, and transactional legal diligence. Its target buyers are attorneys, M&A and private-equity teams, and corporate legal departments. The competitive set includes broader legal AI platforms such as Harvey, which supports bulk analysis of large agreement sets, and more specialized diligence workspaces such as Emma Legal; Mage differentiates itself by emphasizing an end-to-end path from data-room intake to closing deliverables.
The company appears to be early stage rather than an established scaled vendor. It is listed by Y Combinator as an active S2024 company, announced a January 2026 product launch, and PitchBook reports $500,000 raised. Public sources reviewed do not provide a customer count or a revenue figure—PitchBook leaves current revenue blank—so Mage is best characterized as an early commercial company with unreported revenue, rather than confidently labeled pre-revenue.
Founders & Leadership
Funding History
Y Combinator, New Enterprise Associates, Goodwater Capital, Gurtin Ventures, Pioneer Fund
Recent News
Mage Legal announced Fast mode for disclosure schedules. The company says the same schedules now complete with nearly 90% less waiting time than the slowest part of the prior process.
LegalTechTalk identified Mage Legal as an official sponsor of its 2026 event and described Mage as the first end-to-end AI platform for transactional law.
Y Combinator Launch introduced Mage as AI legal diligence software for attorneys. The product scans entire data rooms, flags issues, and generates diligence reports in minutes instead of days.
Active Roles
5Business Model
Mage sells access to its AI legal-diligence platform to law firms, attorneys, corporate counsel, and transaction teams. Public evidence does not disclose the paid pricing structure; LinkedIn indicates limited-time free access, suggesting a promotional period around an otherwise commercial software offering.