Emma Legal: Due Diligence AI software
World's Trusted Due Diligence Workspace
Emma Legal is an AI-powered due diligence workspace for M&A professionals and deal teams. It synchronizes data rooms, detects missing documents, checks for liabilities, and reviews legal risks across uploaded materials. The platform produces due diligence reports and supports collaborative task management, serving law firms and in-house teams handling corporate transactions.
Product
Emma Legal
Use cases
Last updated
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What Emma Legal does
The platform runs on a multi-model AI system using OpenAI, Gemini, and Anthropic models with seven-plus validation layers reinforcing each result. Users can upload their own Information Request List (IRL) or use Emma's template with over 190 predefined document types. Additional capabilities include missing-document detection, tailored liability checks, per-clause legal risk overviews, and downloadable due diligence reports with progress dashboards. Emma integrates with external data rooms and VDRs, keeping documents synchronized without duplication. Security measures include GDPR, ISO 27001, SOC 2 Type II, and CASA Tier 2 compliance, EU-based hosting with flexible data residency, end-to-end encryption, and granular role-based access controls.
What it does
Emma Legal core capabilities
Connect Data Room
Sync data room or use Emma as your data room
IRL Template
190+ predefined document types included
Detect Missing Docs Instantly
Overview of required documents not provided
Check for Liabilities
Tailored checks or predefined clauses available
Review the Legal Risks
Complete overview of legal risks per clause
Due Diligence Report
Edit, share, or download DD report
Team Synchronization
Assign tasks, track changes, manage approvals
Data Room Connectivity
Securely connect external VDRs to Emma
Technical specifications
- Multi-model AI: OpenAI, Gemini, Anthropic
- 7+ validation layers per result
- 190+ predefined document types
- ISO 27001, SOC 2 Type II, GDPR, CASA Tier 2
- EU AI Pact aligned, hosted in EU
- TLS 1.2+ in transit, AES-256 at rest
- Penetration testing and monitoring
Who it is for
Who Emma Legal is built for
Target audience
- Large Law Firm
- Mid-Sized Law Firm
- In-House Legal Teams
Case studies
No case studies yet
Emma Legal doesn’t have a client-confirmed case study on DreamLegal yet. Try exploring different products for exploring case studies.
Trust & compliance
Emma Legal security at a glance
Security certifications
Named enterprise customers
Pricing details
Emma Legal pricing
Starting price
Pricing model
Free version
Product videos & screenshots
See Emma Legal in action
Product interface
Emma Legal Interface
Comparisons
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Updates mentioning Emma Legal
View all
Emma Legal Integrates with Thomson Reuters HighQ to Streamline M&A Due Diligence
Emma Legal, an AI-powered due diligence platform, announced a direct integration with Thomson Reuters HighQ, allowing M&A lawyers to automatically transfer client documents from HighQ into Emma wi
Covenant and Emma Legal Team Up to Speed Up Venture Deals
Covenant and Emma Legal announced a partnership to combine AI-powered document review and legal due diligence for venture transactions. The venture deal market has long struggled with legal bottleneck
Transparency
Emma Legal sources
Pages used to generate and verify this profile.
FAQs
Frequently asked questions about Emma Legal
Users connect a data room or upload documents directly, then provide an Information Request List or use Emma's template with over 190 predefined document types. Emma detects missing documents, runs liability checks against tailored or predefined clauses, surfaces legal risks per clause, and generates an editable, shareable due diligence report with a progress dashboard.
Emma uses a multi-model AI system powered by OpenAI, Gemini, and Anthropic, with seven-plus validation layers reinforcing every result. The platform is designed for M&A due diligence, built by and for experienced M&A professionals, and visualizes findings in an intuitive interface covering risk-level detection and clause checks.
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