Docnition AICustom AI for legal teams.
Under your control.
Docnition Solutions builds and deploys custom AI in your environment. Your data, your permissions, and a clear view of what the system does.
Book a callA Canadian technology company building for law firms and legal teams. Starting with deployment in your own Azure account.
Your environment. Connected by design.
For work that needs
a different kind of AI setup.
For law firms and legal teams that cannot or choose not to send client data to public AI tools. We start with your workflow and data requirements, then agree what to build and where it can run.
Built around your work.
These are examples, not a fixed menu. The right engagement starts with a specific problem your team needs to solve.
Document intake and review
Bring incoming documents into a review process shaped around your team’s work.
Your firm’s knowledge, retrievable
Find relevant material across your own knowledge, with sources available for verification.
Drafting and summarization assistants
Prepare working drafts and summaries for professional review.
Workflow agents
Connect a finding to a proposed action, with the permissions and approvals your team sets.
Internal tools
Build focused tools around the work your existing systems leave to spreadsheets and inboxes.
Ownership and control,
built into the engagement.
These principles become requirements in the agreed architecture, deliverables, and terms.
- Your data
- Your data belongs to you. The deployment must keep it in your agreed environment and must not use it to train anyone else’s models. We establish processing boundaries and service settings before deployment.
- Your custom work
- You own the agreed custom deliverables. Ownership and export rights for custom models, configurations, prompts, and evaluations depend on the engagement terms and underlying licences. Hosted providers’ underlying models are not transferred.
- Full visibility
- Access logs, audit trails, and clear records of what the AI did and which sources it used are part of the agreed solution requirements.
- Full control
- You set permissions, approval steps, retention, and the ability to switch components off or replace them. We document dependencies and operational boundaries at handover.
- Your cloud account
- Deployment in your own environment, starting with Azure under your account. Infrastructure and third-party services are agreed as part of the scope.
One scoped problem.
A clear path to handover.
- 01
Discovery
Define the workflow, users, data boundaries, and success criteria.
- 02
Scoped pilot
Test one bounded use case before committing to a wider build.
- 03
Your environment
Deploy into your firm’s Azure account with agreed access and processing boundaries.
- 04
Evaluation
Evaluate on your documents against agreed criteria, including errors and staff review effort.
- 05
Handover
Receive the agreed custom artifacts, configurations, documentation, and evaluation results, subject to applicable licences.
- 06
Optional support
Choose a separately scoped support retainer if your team needs ongoing help.
A practical example:
Docnition’s own workflow.
Our PI product brings source review and staff approval into the same record-request journey.
The documented pipeline pseudonymizes names and dates of birth before chunking. Staff approve outgoing actions before they are sent.
These are specific design measures, not a claim of complete anonymization or a guarantee about every data flow. They do not mean the existing Docnition product runs entirely in a client-owned Azure environment.
Explore the PI workflowQuestions before
an engagement.
Where does our data live?
The engagement is designed for deployment in your own cloud environment, starting with Azure under your account. Storage, processing, logs, backups, access, and retention are agreed in the architecture and terms. Keeping client data within the agreed environment and excluding it from training anyone else’s models are requirements of the engagement.
Who owns the work and the models?
You own your data and the agreed custom deliverables. Rights to custom models, configurations, prompts, and evaluations are established in the engagement terms and remain subject to underlying licences and exportability. A hosted provider’s underlying model is not transferred to you.
What happens if we stop working together?
Your client-held deployment and agreed deliverables remain with you, subject to the engagement terms and applicable licences. Handover includes the agreed configurations, documentation, and evaluation results. Third-party services and their charges continue under their own terms; ongoing support is optional and separately scoped.
How is quality evaluated?
We agree the tasks, representative documents, and acceptance criteria with your team. The pilot evaluates output quality, source support, failure cases, and the time needed for staff review and correction. Your team reviews the results before deciding on wider use.
Let’s start with
your team’s workflow.
A focused conversation about the work, the data, and what your team needs to control.