See how work and economics changed on a matter, what evidence links that change to AI, and how to price the next one. From your firm's own data.
Recorded drafting time ran below the firm's historical reference for comparable matters.
Linked signals
128
Comparables
4
Needs review
2
Signals clustered into legal work units and benchmarked against the firm's own historical reference, with evidence coverage shown, including where it is incomplete.
Every link is traceable to your firm's own data, never an unexplained headline number. The full method runs deeper.
Link
Activity from AI tools, work systems and billing, joined to a single matter.
Validate
Every signal labelled observed, estimated or confirmed, with gaps visible.
Decide
A defensible reference for the next matter, with the evidence trail intact.
Each surface answers a different buyer question, all traceable to the same firm data.
Delivery, AI contribution, recorded time and billing on one review. Confidence is shown on every signal: observed, estimated, or confirmed.
See it on a sample matterComparable match found
Matched to firm historical corpus
Rate variance detected
Above comparable median range
Pricing signal generated
Evidence trail export-ready
A client-ready PDF that links AI usage to specific deliverables and defends the fee. The artifact a partner signs off on.
See it on a sample matterReference
£30,000
Proposed fee
£21,000
Below reference
30%
Reference is an observation from comparables, not an AI-free control. The gap is an observation, not a confirmed AI saving.
Independent analysis of vendor license risk and inactive spend, on the same framework across every tool.
See it on a sample matterProactive nudges for defensible human validation on high-impact signals, before any claim reaches a client.
See it on a sample matterWhat actually happened on this matter, and does our pricing still hold?
You hold the billing numbers but not what AI was doing during the matter. Alpodo puts the evidence behind the fee.
Market context below is attributed. We publish no firm-level results we cannot substantiate.
57%
of corporate legal departments now expect data-backed proof of AI efficiency from outside counsel.
CLOC 2025
40%
of firms are raising technology spend specifically for connectivity and ROI measurement.
CLOC 2025
3
links of evidence, each traceable, between raw telemetry and a defensible decision.
Alpodo
The entire computation runs inside your existing infrastructure, metadata only, no client content, and no third-party storage of privileged information.
Runs inside your tenant
Read-only Graph API access. No data egress.
Metadata only
Signals and telemetry, not client content or privileged documents.
Human sign-off
High-impact signals pause for defensible validation before any claim is made.
Vendor dashboards show one tool's activity. Alpodo is independent: it measures any AI tool on the same framework and links usage to matter outcomes, showing attribution confidence and gaps rather than treating activity as proof.
Activity signals begin flowing shortly after tenant authorization. Full deployment with practice management connectors and custom integrations typically completes within weeks, scoped to the size of the stack.
The evidence layer reads telemetry and metadata, not client content or secrets. Connectors operate inside your existing environment, and we publish exactly which signals we read and how they are handled. A documented data handling model and security review are available before any deployment.
Pre-built connectors for major practice management systems, Microsoft 365 and AI vendors, plus CSV and API-based integration. It sits on top of your stack, no rip and replace.
We walk through your existing stack, connect to your environment, and show live attribution data within the session. You will see per-matter pricing signals, vendor utilisation, and evidence coverage before the call ends.
Yes. A sandbox connects to a sample of your data so you can see real attribution signals and pricing insights from your own workflow patterns before committing to a deployment.
Each tool's activity is linked to specific matters and work units where the data supports it. We show the available economic context, the attribution confidence, and the unresolved gaps rather than treating vendor activity as proof of impact.
Every signal is labelled: observed, estimated, or attribution-confirmed. We never claim AI caused an economic outcome without a recorded validation basis.
We connect to your existing stack and show you the evidence on a real matter in one session. Nothing to install, nothing leaves your environment.
We read M365, Harvey, Clio, and your time-capture vendors. Nothing leaves your environment.
We show the evidence on a real matter in one session.
You see what AI actually changed, and what the fee should be.