DISCO
AI-powered legal technology for ediscovery, case management, and legal hold.
What is DISCO?
DISCO is a cloud-based platform for legal discovery, case management, and legal hold. It uses AI to help legal teams identify relevant documents, manage large datasets, and automate routine review tasks. The platform is designed for law firms, corporate legal departments, and government agencies that need to process large volumes of documents efficiently. DISCO includes features for document review, deposition analysis, and case organisation, with options for managed review services if teams want expert support. The platform aims to reduce time spent on discovery whilst maintaining accuracy in document identification and review.
Key Features
AI-powered document identification
Automatically identifies relevant documents from large datasets using machine learning
Legal hold management
Preserves data, notifies custodians, and tracks preservation obligations in one place
Case Builder
Organises case materials and automates low-value administrative tasks
Document analysis
Generates summaries, answers questions about documents, and creates timelines
Deposition review
Supports efficient review of depositions and video testimony
Managed review services
Access to expert review teams for case-critical document reviews
Cloud-based platform
Accessible from anywhere without additional infrastructure or complex setup
Pros & Cons
Advantages
- Reduces time spent on manual document review through AI assistance
- Handles large document volumes that would be impractical to review manually
- Cloud-based, so no need for on-premises infrastructure or complex IT setup
- Provides expert review services alongside the platform for case support
- Helps teams stay on budget by automating routine tasks and flagging priorities
- Simplifies legal hold compliance with centralised management and tracking
Limitations
- Requires paid subscription; not suitable for occasional or light users
- Pricing is likely steep for small law practices or solo practitioners
- Effectiveness of AI features depends on data quality and proper document preparation
- May require IT integration and training for teams unfamiliar with cloud platforms
- Legal hold policies must be correctly configured to work effectively
- Large document migrations can be time-consuming and require careful planning
Use Cases
Law firms handling discovery in commercial or civil litigation
Corporate legal departments managing compliance and contract review
In-house teams with high document volumes needing faster processing
Cases involving data breaches, fraud, or regulatory investigations
Organisations managing legal holds across multiple custodians or departments
Firms reducing legal spend by automating lower-value review work