PLAYBOOK · LEGAL
On-prem contract review and clause extraction — sovereign by design.
In-house legal teams need contract intelligence without uploading sensitive deals to a hosted service. VDF AI gives them clause extraction, position-against-playbook comparison, and redline suggestions inside the network.
In-house legal teams have a simple constraint: a contract draft does not leave their network. Counsel cannot evaluate hosted AI tools, juniors cannot keep up with the inbound volume, and the playbook of "acceptable positions" lives in three people's heads. VDF AI gives counsel a contract-review network they can actually use.
The problem
Counsel can't paste a contract into ChatGPT
Hosted AI tools are out of bounds for most legal teams. Yet contracts arrive faster than juniors can summarize them, and the playbook for "acceptable positions" lives in someone's head.
The VDF AI approach
Contracts in. Insights out. Nothing leaves.
Vectorize your contract library and playbooks. A Contracts Network extracts clauses, scores them against your standard positions, and emits a redline suggestion with citations to your playbook.
WHY THIS MATTERS NOW
Legal AI is useless if counsel cannot use it
Most legal AI products fail at the first step: they assume the contract can be uploaded to a vendor cloud. For in-house teams in regulated industries, government, or with significant M&A activity, that is not a discussion to have.
VDF AI runs the contract review inside the legal department's own perimeter. The contract library, the playbooks, and the redline suggestions all live in pgvector indexes and structured agent outputs. Counsel becomes the editor, not the typist.
WHAT YOU NEED TO START
Prerequisites for a pilot
Corpus
- Resolved contracts library (signed)
- Playbooks per contract type (MSA, DPA, NDA)
- Standard positions register
- Optional: market comps and prior negotiation history
Surfaces
- Upload endpoint or DMS connector
- Tracked-change export tooling
- Optional: CLM integration
- Vault credentials for archive
People
- One legal operations lead
- One commercial counsel for prompt tuning
- One IT lead for connectors
- Optional: e-billing integration owner
REFERENCE ARCHITECTURE
A Contracts Network for counsel-grade output
PDF · DOCX
Standard positions
Intent: review-contract
PLAYBOOK · STEP BY STEP
Wire it up without leaving the perimeter
Vectorize the contract library and playbooks
Index resolved contracts and your "acceptable position" playbooks per contract type (MSA, DPA, NDA, MNDA, SaaS).
Build the Clause Extractor
A typed agent that emits a JSON array of clauses with type, party, defined terms, and citations.
Compare against the playbook
The Position Comparator retrieves the standard position for each clause and surfaces deviations.
Draft the redline
The Redline Drafter produces tracked-change suggestions with rationale and confidence.
Counsel reviews and signs off
Every suggestion carries a citation to your playbook. SEEMR routes the heavy reasoning to your most capable private model.
OUTCOMES
Counsel becomes the editor, not the typist
contracts reviewed per counsel per day.
redlines cite the playbook entry that drove them.
contract text leaves your network.
SEEMR REFERENCE
Routing by clause risk
Indemnity and IP clauses get your strongest private model. Notice-address clauses get small models. SEEMR learns the line.
FREQUENTLY ASKED QUESTIONS
What teams ask before shipping this playbook
Will counsel trust the redline suggestions?
They are explicit, cited, and editable. Counsel sees the playbook clause that drove the suggestion and accepts or modifies it.
Can it handle multi-jurisdiction contracts?
Yes. Jurisdiction-specific playbooks live in separate vector indexes; the Position Comparator selects the relevant index based on contract metadata.
How is privilege protected?
All processing is on-prem. Domains scope which agents access which contract folders. Privileged matters can be assigned to a dedicated domain.
Does it integrate with our CLM?
Yes — CLM read and write endpoints become Custom HTTP tools. The contract round-trips into VDF AI for review, then back to the CLM.
What about negotiation memory?
Living Knowledge captures clause-level outcomes (accepted, redlined, walked-away) and feeds them back into routing.
How long to pilot?
Four to six weeks: indexing, playbook authoring, golden-set validation, cutover.
RELATED PLAYBOOKS
Continue with related VDF AI patterns
GET IN TOUCH
You Have Questions
Tell us what you’re trying to achieve—governed AI Networks, enterprise RAG, deep integrations, or on‑premise deployment. We’ll help you map the right architecture, security posture, and rollout path. If you’re moving beyond AI pilots and need scalable, auditable execution, reach out—our team is ready to help.