Legal & Professional Services

Governed AI to reconcile matters, billing and due diligence at scale.

Law firms, accounting networks and advisory practices run on data spread across matter management, time and billing systems, document management and large due diligence data rooms, often across multiple offices and practice groups. Matching what was billed against what was actually agreed, checking for conflicts across a huge base of clients and matters, and working through large document sets for due diligence all depend on data that is scattered and expensive to reconcile by hand. DataReadyAI turns that scattered data into a governed layer partners, finance and risk teams can act on quickly.

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The gap, closed

Every blocker, answered by one governed layer.

The problems that stall AI in legal and professional services all come back to data that is scattered and ungoverned. Here is how DataReadyAI addresses each one.

The challenge today With DataReadyAI
Matter billing has to be reconciled against engagement letters and fee agreements to catch write-offs and scope creep, and that is still often done manually at the point of invoicing.
Billed time and disbursements matched against engagement letters and fee agreements, flagging write-offs and scope creep before invoices go out.
Conflict checking across a large and growing client and matter base strains manual processes when it has to be both thorough and quick.
New matters checked against the full client and matter base quickly, with a defensible, auditable record of every check.
Due diligence routinely means working through large, unstructured document sets under time pressure, and manual review is slow.
Large due diligence data rooms queried in one governed layer to surface the terms, risks and figures that matter, traceable back to source.
Matter profitability is hard to see when time, disbursements and billing data sit in separate systems that do not reconcile automatically.
Time, disbursement and billing data reconciled automatically to give partners a clear, current view of matter and practice group profitability.
Where it applies

Four workflows, one governed layer.

Matter billing reconciliation

Match billed time and disbursements against engagement letters and fee agreements, flagging write-offs and scope creep before invoices go out.

Conflict checking

Check new matters against the full client and matter base quickly and thoroughly, with a defensible, auditable record of the check.

Due diligence document review

Query large, unstructured due diligence data rooms quickly to surface the terms, risks and figures that matter, with reasoning traceable back to source.

Matter profitability reconciliation

Bring time, disbursement and billing data together automatically to give partners a clear, current view of matter and practice group profitability.

Why DataReadyAI

Built for regulated data environments.

We are a Sydney-founded, cloud- and model-agnostic AI company built specifically for environments where confidentiality, privilege and client boundaries are non-negotiable. DataReadyAI works with organisations across regulated, data-intensive sectors, and it sits alongside your existing matter management and document systems rather than asking you to replace them. Our guiding principle is simple: the user, not the vendor, should hold the power in the agentic AI era.

Cloud & model agnostic

Works across your existing data platforms, cloud and language models. No forced migration, and no lock-in to a single vendor.

Governance by design

Access control, lineage and audit on every AI interaction, so your risk and compliance functions stay firmly in control.

Built for regulated sectors

Working with organisations across regulated, data-intensive sectors, from financial services and insurance to healthcare, government and resources, where data sensitivity is greatest.

Let’s talk about what governed AI could do for your billing, conflicts or due diligence workflows.

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