Automate Contract Clause Extraction and Review
Every incoming contract — vendor agreement, customer MSA, partnership deal — needs a first-pass read to pull out indemnification terms, liability caps, termination rights, governing law and anything that deviates from house playbook language, and that read currently falls to an associate or paralegal working through the document paragraph by paragraph. Volume spikes around quarter-end or a new sales push and the review queue backs up, so contracts either wait days for a first look or get skimmed faster than they should be, and a non-standard limitation-of-liability clause buried in an exhibit is exactly the kind of thing a rushed read misses.
STARTING PRICE
From €299
Standard tier · Multi-step workflow with AI extraction/decisioning and 2-3 integrations.
Get a quote →Saves roughly 5-8 hrs/week for a legal team handling regular contract volume.
How the automation works
We build an extraction layer that reads each incoming contract, identifies and classifies its key clauses against a defined taxonomy — indemnification, liability cap, termination, assignment, governing law, non-standard/other — and cross-references your clause playbook to flag where the actual language deviates from your approved fallback positions. Clauses split across the main body, exhibits and amendments are stitched together under the same classification rather than reviewed in isolation, and every flagged deviation is scored by how far it sits from acceptable, with the highest-risk items surfaced first. The attorney reviews a structured summary instead of the raw document cold, and nothing gets marked approved without their sign-off.
Process flow
- 01
Contract received trigger
An incoming contract from email, a CLM system or a signature platform triggers extraction automatically on intake.
- 02
Extract and classify clauses ai
Key clauses are identified and classified against a defined taxonomy, with language split across the body, exhibits and amendments stitched together under one classification.
- 03
Compare against playbook ai
Extracted clause language is compared to your approved playbook and fallback positions, and deviations are scored by materiality rather than flagged as a flat yes/no.
- 04
Sync to clause register integration
Extracted and classified clauses populate a searchable clause register tied to the contract record, so past positions are findable in future negotiations.
- 05
Route to attorney for sign-off output
A structured summary with flagged deviations and risk scores goes to the reviewing attorney — the automation surfaces risk, it never approves or rejects a clause itself.
- 06
Log review decision output
The attorney's decision on each flagged deviation is logged against the contract record, building a precedent history for future playbook updates.
Inputs
- Incoming contract documents (PDF/Word)
- Clause playbook and approved fallback language
- Counterparty and contract type metadata
- Prior negotiated positions
Outputs
- Searchable clause register
- Deviation risk report per contract
- Attorney review queue with flagged clauses
- Playbook precedent history
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- Clauses split across the main body, a schedule and a later amendment can be missed or mis-classified if extraction only reads the primary document — a limitation-of-liability clause partially modified by an exhibit needs to be read as one combined position, not two separate ones.
- Non-standard phrasing that expresses a familiar risk in unfamiliar language — an indemnification obligation described through a defined term rather than the word 'indemnify' — can slip past classification tuned only to recognize playbook-style wording, understating risk exactly where the counterparty's drafting deliberately avoided the obvious keyword.
- Materiality scoring tuned too loosely produces alert fatigue, where attorneys start skimming past flagged deviations because most of them turn out to be immaterial; tuned too tightly, it buries a genuinely dangerous clause among routine formatting variance — this needs periodic recalibration against actual attorney decisions, not a fixed threshold set once.
- This tool must never mark a contract as approved or clause-compliant without attorney sign-off — extraction and deviation-scoring narrow down what a human needs to look at, but the legal judgment on whether a deviation is acceptable for this specific deal always stays with the reviewing attorney.
Frequently asked questions
Does this replace attorney review of contracts?
No. It handles the first-pass read — extracting and classifying clauses, flagging deviations from your playbook — so the attorney starts from a structured summary instead of a blank document, but every approval decision still requires attorney sign-off.
Can it catch clauses that are split across an exhibit or amendment?
Yes, extraction is built to stitch together language on the same clause topic across the main body, schedules and amendments rather than treating each document section in isolation.
How does it know what counts as a deviation from our playbook?
You provide your approved playbook language and fallback positions, and extracted clauses are compared against that baseline rather than a generic industry standard, so flags reflect your actual risk tolerance.
What happens with non-standard contracts that don't fit the usual taxonomy?
Clauses that don't map cleanly to a known category are flagged as 'other' for direct attorney review rather than force-fit into the nearest classification, since a mis-classified unusual clause is worse than an unclassified one.