01
A reliable working context
Everything relating to a matter remains connected: contact details, forms, emails, documents, deadlines, tasks and invoices. Teams work from the same current context instead of reconstructing it across tools.
The platform for legal operations
Every workflow. One Legal Operations platform.
Teams handle more legal work with fewer system breaks. Advofleet keeps enquiries, matters, documents, communications, deadlines, tasks and billing connected on one data and process foundation.
How the work connects
From digital access to lawyer-led delivery — on one platform.
02
Governed AI in the workflow
AI extracts, summarises, drafts and surfaces exceptions within defined purposes, data boundaries and review steps. Generated legal text remains working material until a lawyer reviews and approves it.
03
Scalable services with professional control
Governed AI supports defined workflow steps and prepares outputs. Client acceptance, legal assessment and approval remain under professional legal responsibility.
- Questions tailored to each legal service
- Traceable delivery and review steps
- Lawyer approval before an outcome leaves the firm
04
For Advofleet and external law firms
The platform powers Advofleet’s legal operations and is available to law firms as a workspace with team roles, migration and integrations. Capabilities, data migration and deployment are agreed for each firm.
Explore the topic
Related information at a glance
Frequently asked questions about the Advofleet platform
The essentials on outcomes, responsibilities and next steps.
The platform can connect intake, contacts, matters, documents, communications, deadlines, tasks and billing in one working context. The agreed use case determines which modules are activated.
It supports Advofleet’s legal operations and can be configured for external law firms and defined partner workflows. Roles, permissions and data access are tailored to each organisation.
APIs, identity management and other integrations are assessed against the existing system landscape. Data fields, permissions, error handling and ownership are defined before technical approval.
Relevant status changes, work steps, AI runs and approvals can be recorded in the applicable process. The agreed workflow determines which events and roles are documented.
AI may support approved steps such as extraction, summarisation, structuring or drafting. Legal assessment, approval and other accountable decisions remain assigned to people.
Sources, quality, mapping and migration routes are reviewed and agreed before transfer. Production data is processed only after privacy, security and access roles have been settled for the use case.