Law firms and in-house legal teams hold documents they are professionally obliged not to disclose. DocxIntel extracts clauses, tracks obligations, compares every contract against your playbook and routes deviations to review — with the models running inside your own firewall and no third-party API in the chain of custody.
Accuracy is measured field-by-field against a human-adjudicated ground truth, not character-by-character. Extraction output is input to legal judgement, never a substitute for it — the reviewing lawyer remains responsible for the advice given.
Legal review does not slow down because lawyers read slowly. It slows down because someone has to find the relevant paragraph across four thousand documents before the reading can start.
Clauses are identified by type and the obligations inside them extracted with dates, notice periods, thresholds and the responsible party — cited to the page they came from.
An incoming draft is compared against your own playbook positions, and every difference is reported as a specific, cited deviation for a lawyer to judge.
Data rooms are classified, deduplicated and indexed so a diligence team starts from a structured contract inventory rather than a folder tree.
Every contract is compared with your approved standard; deviations arrive as findings with severity, evidence on both documents and a one-click legal review.
Filings, pleadings, orders and judgments are indexed by party, case reference and date, and made searchable with citations back to the paragraph.
Minutes, resolutions and regulatory correspondence are read for decisions, authorities, commitments and deadlines that in-house teams are expected to track.
Diligence is a triage problem before it is a legal one. The steps below run entirely inside your own environment, on documents that were never transmitted to a processing service.
Everything produced is advisory input to legal judgement. The reviewing lawyer remains responsible for the conclusion and the advice.
One matter type, inside your own environment, with the professional-obligations review done before installation rather than after.
A single recurring workflow — supplier contract review, a live diligence exercise, or an obligations audit across an existing portfolio — is a better first scope than the whole practice. We ask for the documents your team finds worst: scanned executed copies, bilingual agreements, amendment chains.
Because processing stays inside the firm and nothing is transmitted onward, the review concerns internal access control, matter segregation and audit logging rather than third-party disclosure. Deployment evidence and data-flow documentation are provided for your risk function up front.
Containers and proprietary DocxIntel models are deployed on your hardware or in your private cloud, in the segment your policy requires. Your team holds root and the encryption keys, and no client document is ever visible to us.
Your clause taxonomy, standard positions, obligation fields and the approvers for each kind of deviation are configured directly, then tuned against matters where the outcome is already known to your team.
Accuracy is adjudicated clause-by-clause and field-by-field by your own lawyers, and the report shows per-field accuracy, confidence distribution and the review load you would actually staff. Miss the agreed threshold and you keep the report and owe nothing further.
Adding a practice area, or running an obligations audit across every contract the firm has ever executed, is a configuration change and some GPU time. The licence does not move because the page count did.
An indicative schema. The final clause taxonomy and field list are agreed against your own precedents and playbook during the Proof of Value.
Nothing on this page is legal advice, and extraction output is not a legal opinion. DocxIntel produces cited source material for a qualified reviewer to act on.
Hosted review and parsing services are capable and widely used. In legal the distinguishing question is narrower: who becomes a recipient of the document, and what does that do to privilege.
Where privileged documents are read
Adds a recipient outside the firm
Parsed content cached by the vendor
Named in client confidentiality undertakings
Cost of a 200,000-page data room
Re-running the portfolio for an obligations audit
Compare against your playbook
Self-hosting available on
Cost figures are our own arithmetic on publicly published list rates as of 2026, not vendor quotations. Caching and self-hosting behaviour reflects publicly documented terms of metered parsing services. Verify against current vendor documentation, and take your own advice on privilege, before making a decision.
The questions that decide whether document automation is compatible with professional obligations, answered without hedging.
No. The proprietary DocxIntel models ship inside the deployment bundle and run on your own hardware, so a privileged document is read by software inside your firewall. There is no external inference endpoint, no telemetry and no fallback cloud call on low confidence — which means there is no third party to name in a confidentiality undertaking or a client audit.
Thirty to forty-five days, fixed fee, deployed inside your own environment on your own matters. The accuracy threshold and the conversion price are both agreed in writing before we begin.
