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.
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.
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.
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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.