Emmi: Legal AI software
The invisible reasoning engine for modern law firms.
Emmi is an agentic AI system for law firms that automates conflict checking. It monitors incoming conflict requests, searches the firm's case management system, interprets results using large language models constrained by hard-coded logic, and updates the system of record without manual input. It has no user interface of its own and works alongside existing tools. It is aimed at modern law firms that want to complete conflict checks faster and issue engagement letters sooner.
Product
Emmi
Use cases
Headquarters
United Kingdom
Founders
Daniel Jenkins, Scott Clee
Last updated
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What Emmi does
Emmi acts as a layer that pre-fills compliance data. Its workflow has three stages: input, where it takes in matter parameters when new matters are opened in the case management system; processing; and results. The architecture is described in four parts: perception (trigger events for new conflict requests), tool use (fuzzy search against the case management system), reasoning (large language models confined by hard logic) and action (updating the system of record without human intervention). The company describes its approach as a 'Glass Box' in which every action is auditable. The product is intended for law firms, and the company states that a Top 15 UK law firm is an active deployment. Integrations are described as universal API connectors for leading legal case management platforms, alongside Outlook and Teams workflows, and references to documents held within the firm's perimeter. Deployment is into the firm's own Azure instance, with client data processed in a zero-trust environment. The company was founded by Daniel Jenkins, a former solicitor, and Scott Clee, who has a background in cyber security architecture. Emmi's website states that demonstrations are now conducted by secure live screen-share rather than public videos, following the company's ISO 27001 certification.
What it does
Emmi core capabilities
Perception
Monitors for new conflict requests as they arrive.
Tool Use
Runs fuzzy search against the firm's CMS.
Reasoning
Interprets ambiguous data using LLMs confined by hard logic.
Action
Updates the system of record without human intervention.
Input Phase
Ingests matter parameters as new matters are opened in the CMS.
Case Management
Universal API connectors for leading legal CMS platforms.
Communication
Works alongside Outlook and Teams workflows.
DMS
References documents within the firm's perimeter.
Technical specifications
- Deployed in the customer's own Azure instance
- Universal API connectors for legal CMS platforms
- Outlook and Teams integration
- LLMs combined with hard-coded logic
Who it is for
Who Emmi is built for
Target audience
- Large Law Firm
Case studies
No case studies yet
Emmi doesn’t have a client-confirmed case study on DreamLegal yet. Try exploring different products for exploring case studies.
Trust & compliance
Emmi security at a glance
Security certifications
Named enterprise customers
Pricing details
Emmi pricing
Starting price
Pricing model
Free version
Product videos & screenshots
See Emmi in action
Product interface
Emmi Interface
Comparisons
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Transparency
Emmi sources
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FAQs
Frequently asked questions about Emmi
Emmi is built for law firms. The company states that a Top 15 UK law firm is an active deployment. Emmi's website describes the product as an invisible reasoning engine for modern law firms, designed around the constraints of the legal profession. Lawyers do not need to learn new software, as Emmi has no user interface of its own.
Emmi connects to a firm's case management system through universal API connectors for leading legal CMS platforms. It also works directly alongside Outlook and Teams workflows. For documents, it securely references files held within the firm's perimeter. The company states that no data migration is required to use these integrations.
Emmi is deployed directly into the firm's own Azure instance. Client information is processed within the firm's perimeter in a zero-trust environment. The company states that data never leaves that perimeter. Its privacy policy notes that client data processing is governed by a Master Services Agreement and a Data Processing Agreement.
The company states it holds ISO 27001 certification and operates a zero-trust architecture. Its privacy policy says data is encrypted in transit using TLS 1.2 or higher and at rest, and that internal access is controlled through Role-Based Access Control. Procedures exist for suspected personal data breaches.
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