Find, compare, and explain what matters across your company's documents — with a citation behind every answer.
One corpus. One question. Four to six weeks. Pricing scoped per engagement.
The real problem
"Where is the document?" is solved. The questions that take time — comparing terms across thousands of contracts, mapping policy drift across subsidiaries, finding outliers in a corpus — require reading the population, not finding the right one.
Today those questions take legal, audit, finance, and compliance teams weeks of manual review. DocPacer produces a cited table in an afternoon.
An example, at population scale
"Across our 5,000 customer agreements, where do liability caps and audit rights diverge from our group standard?"
Today
Three weeks. A spreadsheet. No way to verify the result. Nothing audit-ready.
With DocPacer
A cited comparison table. Every row links back to the exact clause. Auditor-ready by default.
How it works
DocPacer ingests your document corpus, extracts structured claims from every clause, models them into a queryable graph, runs comparison across the whole population, and links every value back to the exact clause it came from.
Ingest
PDFs, DOCX, agreements, policies. Any format, any scale, any language.
Parse
Extract clauses, parties, dates, amounts, obligations from every document.
Model
Structure findings into a queryable document graph. Every value typed and tagged.
Analyse
Compare and detect divergence across the whole population. Side-by-side, not one-at-a-time.
Cite
Every output links back to the exact clause in the source. The receipt comes with the answer.
| Agreement | Liability Cap | Audit Rights | Standard? | Citation |
|---|---|---|---|---|
| Acme Corp MSA 2023 | €500K (12× monthly) | Annual, 30-day notice | ✓ Standard | §12.3, §18.1 |
| FinGroup GmbH SLA | €50K (capped) | None specified | ⚠ Diverges | §9.2 — audit clause absent |
| NordicTech Enterprise | €2M (uncapped) | Quarterly, 14-day notice | ~ Partial | §11.1, §14.4 |
| Meridian Holdings | €500K (12× monthly) | Annual, 30-day notice | ✓ Standard | §10.2, §17.3 |
| EastBridge Corp | €0 — mutual waiver | None | ⚠ Diverges | §8.5 — full liability waiver |
What we mean by it
DocPacer compares entire document populations and cites every answer back to the source clause.
Populations
Not a document. Not a folder.
The whole corpus. Thousands of contracts, hundreds of policies, every agreement and obligation across every business unit. Most tools give you one document at a time. A context window is not a corpus. We work at company scale.
Compares
Not search. Not summarisation.
Side-by-side divergence detection across the whole set. "Where do these 5,000 contracts disagree with our standard?" is a fundamentally different question from "find me the contract with X." The first is the question that takes a team weeks today.
Citations
Not implied. Not paraphrased.
Every cell links to the exact clause in the source document. Usable in audit, litigation, and board reporting. The answer to "how do I know it's right?" is a clickable citation.
Use cases
Different roles, different vocabulary, the same kind of question — one that takes weeks today because it requires reading every document. Pick the one that sounds like your week. If yours isn't here, the pattern still applies.
01 · Legal
Across our 5,000 customer agreements, where do liability caps, audit rights, and renewal terms diverge from our group standard?
A junior lawyer with a spreadsheet, six weeks, and a result the General Counsel does not fully trust.
A cited table by Friday. Every row links to the exact clause. The work shifts from reading to deciding.
02 · Finance
Across our customer and vendor contracts, where do we carry unlimited liability, off-pattern indemnities, or financial commitments that don't match our group risk appetite?
An audit-and-rebuild project that ends in a board memo six months later, often after a near-miss has already happened.
A cited inventory of every clause that creates outsized financial exposure, refreshed as new contracts get signed. Risk visible before it's realised.
03 · Audit & Compliance
Across our DPAs, vendor contracts, and subsidiary policies, where do our control claims diverge from the evidence in the documents themselves?
Sample-pulling, partial reviews, and an ISAE/SOC cycle that depends on the auditor not asking the wrong follow-up.
A cited control-evidence map across the full population. Gaps between policy and practice surfaced in the same view, every finding traceable to a source clause.
04 · Engineering & Product
Across our specifications, runbooks, vendor SLAs, and customer commitments, where do our promises conflict, overlap, or contradict each other?
Tribal knowledge plus a wiki nobody reads, plus a customer escalation that surfaces the conflict the wrong way.
A cited consistency map across every spec and contract. Drift detected, not discovered.
05 · Individual & team
What's standard, what's an outlier, and what should I read first?
Read for a week and hope. Or pick five at random and call it a sample.
A population summary in an afternoon. Outliers flagged, citations included. You read what matters and skip what doesn't.
Pricing model
The value lives in the document population we analyse and the depth of analysis we run, not in how many people open a tab.
Per-employee SaaS pricing. The value lives in the corpus and the depth of analysis, not in how many people have a tab open.
Priced on the corpus you analyse and the depth of analysis you run. Annual platform access, document population packs, and pooled analysis credits — use it daily, weekly, or for a one-off question.
Annual platform
Annual platform fee, document population packs, pooled analysis credits.
Design-partner pilot
One corpus. One question your team cannot answer in a week today. Four to six weeks. Up to 50% credited toward the annual contract if you continue.
What works today
What works today, across real document populations. The full roadmap lives on its own page.
Now
Working today, across every document population
Ingest any corpus.
PDF, DOCX, PPTX, XLSX. Long documents, mixed formats, multi-language. The same pipeline whether the population is a hundred contracts or ten thousand.
Cited extraction on every claim.
Every value links to the exact clause it came from. Nothing implied, nothing paraphrased.
Cross-document comparison and divergence.
Side-by-side analysis at corpus scale, not one document at a time. The output is a cited table, not a chat answer.
Queryable through MCP.
Connect Claude, Claude Code, or any MCP-aware client to your corpus and ask questions that span every document. The analyst web UI ships in Next.
Design-partner pilot
Take the customer or vendor agreements from one business unit. Ask where liability, renewal, audit, and termination clauses diverge from your group standard. If we come back with a cited comparison table in an afternoon — you have your pilot.
4–6 weeks
from corpus to cited result
Pricing scoped per engagement — enquire for a quote.
Enquire about a pilot →