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SLM-Works

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SLM-Works Contract Analyzer

Clause extraction and risk flagging for legal documents

Reads legal text with policy-aware extraction so legal and procurement teams can triage contract risk before full counsel review.

3.8B~88% fewer tokens per contract review vs GPT-4

How it works

  1. Step 1

    Ingest contract text and split into clause blocks.

  2. Step 2

    Identify clause type and compare to your baseline language.

  3. Step 3

    Score risk and provide plain-language rationale per deviation.

  4. Step 4

    Generate a review packet for legal sign-off.

Example

Example input

MSA draft with custom liability cap, broad indemnity, and non-standard termination terms.

Example output

{ clauses: [{ type: 'liability', risk: 'high', reason: 'uncapped indirect damages' }], summary: '3 high-risk deviations' }

Key features

  • Clause-type classification for recurring legal playbooks
  • Template deviation detection
  • Risk scoring with explainability
  • On-prem execution for confidential legal content

Rollout guidance

  • Create one approved baseline template per contract family before rollout.
  • Track false positives per clause type during first month.

Ideal for

Legal departmentsProcurement teamsCompliance officersLaw firms

FAQ

Does this provide legal advice?

No. It accelerates review and consistency but final legal interpretation remains with qualified counsel.

Want this model in your stack?

We can scope a deployment blueprint, evaluation set, and integration plan for your data and infrastructure constraints.