See what AI actually changed on the matter.

A vendor dashboard reports activity within its own product. Alpodo is designed to bring available evidence from multiple connected sources into a common matter-level review. What can be linked, and with what confidence, depends on the data available.

Timing depends on the deployment approach, permissions, source availability, and validation required. We scope those dependencies before agreeing a timeline; data does not necessarily flow immediately after authorization.

Security suitability depends on your requirements and the deployment design. Before connecting customer data, review the requested permissions, fields collected, processing locations, retention, and subprocessors with us. We will clarify the applicable data handling and security materials for the proposed deployment.

We are developing and validating integrations for selected legal, AI, and Microsoft 365 sources. Availability and signal coverage vary by connector, configuration, and access. CSV or API-based approaches may be possible for other sources after scoping.

We review your questions and walk through how Alpodo brings activity, matter context, and economic evidence together. Connecting your environment or showing live data is not part of every demo; we will scope that with you in advance.

We can discuss a sample-data walkthrough or a scoped pilot. Whether customer data can be used, and what approvals and setup are needed, depends on the proposed deployment.

Where source data supports it, activity from different tools can be related to matters and work units. We show available economic context, confidence, and unresolved gaps; tool activity alone does not establish economic impact.

We distinguish recorded observations, estimates, and human-reviewed attribution. A link between AI activity and a matter is not, by itself, proof that AI caused an economic outcome.