LawryAI starts where law firms already work.
Not another legal AI chatbot. Not another system your firm has to migrate into. LawryAI is an open-source, local-first orchestration layer for law firms — built to connect the tools, files, workflows, and systems already inside the firm. On 01.08.2026, we publish the first public building block: Actaport MCP — an open-source connector for AI agents to interact with Actaport through the Model Context Protocol.
Own nothing. Orchestrate everything.
Connects, coordinates, and orchestrates across the tools the firm already trusts.
Legal AI keeps starting in the wrong place.
Most legal AI products begin with a new interface. A new dashboard. A new inbox. A new place to upload documents. A new workflow the firm has to adopt. But law firms already have their systems. They have case-management software. They have inboxes. They have calendars. They have document folders. They have ERP data. They have habits, permissions, trust boundaries, and years of operational history. If AI cannot work with that reality, it becomes just another isolated chatbot. A useful assistant for a law firm does not start by replacing the firm’s tools. It starts by understanding them.
The future of legal AI is not another app.
It is the layer that connects the apps already in the firm.
Own nothing. Orchestrate everything.
LawryAI does not try to become the system of record. The ERP stays the ERP. The case-management software stays the case-management software. The DMS stays the DMS. The inbox stays the inbox. LawryAI is the orchestration layer above them. It sees across tools. It prepares work. It connects context. It routes tasks. It helps the firm move faster. But it does not take legal decisions away from lawyers. Every action with legal weight needs a human approval gate.
LawryAI is built to automate the legwork around legal work — not the legal judgment itself.
The first public brick: Actaport MCP
On 01.08.2026, LawryAI does not launch as a finished product. It launches as an open-source direction — starting with Actaport MCP. Actaport MCP is the first public component of the LawryAI ecosystem: a connector that allows AI agents to interact with Actaport through the Model Context Protocol. This is the practical beginning of the LawryAI thesis. Not a mockup. Not a closed demo. Not a promise hidden behind a waitlist. A real integration layer, published openly.
The first release is planned to include:
- Actaport MCP repository
- Initial connector interface
- Local development setup
- Tool and capability documentation
- Security notes
- Architecture notes
- Public roadmap for the LawryAI orchestrator
Because the system of record matters.
For many law firms, the important work does not happen in a blank AI chat window. It happens in the case-management system. That is where matters live. That is where documents are connected. That is where deadlines, contacts, history, and operational context become useful. If an AI assistant cannot connect to the system of record, it can only guess from the outside. Actaport MCP is the first step toward changing that. It gives agents a structured way to interact with existing legal infrastructure instead of asking firms to abandon it.
Legal AI should not ask firms to move their work into the AI.
The AI should come to where the work already is.
From connector to orchestrator.
Actaport MCP is not the final product. It is the first proof. The larger LawryAI vision is a local-first orchestrator for law firms: a firm-owned AI layer that can connect systems, remember context, coordinate workflows, and assist staff without pulling the firm into a closed platform.
LawryAI is designed around five principles:
Local-first by default
The firm should own its environment, its data, and its operational memory.
Open source for trust
Law firms should not have to trust a black box with their workflows.
Provider-agnostic intelligence
The firm should be able to choose the model provider that fits its security, cost, and privilege requirements.
Existing tools stay in place
LawryAI should connect to the firm’s software instead of replacing it.
Human gates for legal weight
The assistant can prepare, draft, route, and suggest. The lawyer remains responsible for legal judgment.
Built for firms that do not want another silo.
LawryAI is for law firms, legal operators, developers, and open-source builders who believe legal AI needs a different architecture. It is for firms that already have software and do not want to start again from zero. It is for teams that want automation without giving up control. It is for builders who think legal AI should be infrastructure, not theater.
For law firms
A path toward AI assistance that respects existing systems, data boundaries, and approval workflows.
For legal operators
A way to automate assistant legwork across tools without forcing another migration.
For developers
An open-source connector-first ecosystem for building practical legal AI workflows.
The first drop is only the beginning.
The 01.08 release starts with Actaport MCP. After that, the roadmap moves toward the broader LawryAI orchestrator.
Actaport MCP goes public.
Improve tool coverage, documentation, security notes, and real-world development workflows.
Publish the full orchestrator showcase with the local-first product experience.
Local memory, multi-tool orchestration, approval gates, and assistant workflows.
More connectors, more integrations, more reusable legal operations infrastructure.
This is not the full showcase yet.
The full LawryAI product showcase will come later. But 01.08.2026 still matters. It marks the first public step toward the architecture LawryAI stands for: Open-source. Local-first. Integration-first. Built around the tools law firms already use. The first artifact is Actaport MCP. The direction is LawryAI.
LawryAI is not launching as a finished product.
It is launching as a direction — and the first public proof is Actaport MCP.
Start with the first brick.
Actaport MCP launches on 01.08.2026 as the first open-source building block of LawryAI. If legal AI is going to become useful inside real firms, it has to begin with the systems where real work already happens.