⚖️ AI autopilot · legaltech

Legal-document autopilot

Drafts and redlines contracts, NDAs and filings — a licensed attorney signs anything that's advice.

CEO / General Counselbuys it $20–25Bmarket 5 auto · 1 humanflow steps

The problem

Routine transactional legal work (NDAs, contracts, filings) is expensive and slow, but the unauthorized-practice-of-law line makes naive automation risky.

What you get

Standard documents drafted and e-signed straight-through; advice-shaped output gated to a licensed attorney; privilege and retention preserved.

The flow

Intake to outcome. 🤖 steps run automatically; 🧑‍⚖️ steps are where a named human signs off the judgment calls.

  1. 1
    🤖 Intake the request and matter documents
    agent intake · Document storeMatter management
  2. 2
    🤖 Draft / redline from the clause library for the captured jurisdiction
    agent drafter · Clause / template libraryJurisdiction / law DB
  3. 3
    🤖 Classify information vs advice, check conflicts, privilege and jurisdiction scope
    agent compliance · Conflict-check DBJurisdiction / law DB
  4. 4
    🧑‍⚖️ A licensed attorney signs off any advice-shaped output before it reaches the client Human checkpoint
    Licensed attorney of record
  5. 5
    🤖 E-sign permitted documents with intent + tamper-evident audit trail (excluded docs blocked)
    agent signer · E-signature
  6. 6
    🤖 File the matter under retention with legal-hold awareness
    agent monitor · Matter management

Agents & tools

  • Document store stub today → S3
  • Matter management stub today → Clio
  • Clause / template library stub today → internal KB
  • Jurisdiction / law DB stub today → legal data vendor
  • Conflict-check DB stub today → matter DB
  • E-signature stub today → DocuSign

Connectors run as sandbox stubs today — flip to the real provider to go live.

Human checkpoints

  • Licensed attorney of record — A licensed attorney signs off any advice-shaped output before it reaches the client

The autopilot escalates the judgment calls to a qualified human — the rest is straight-through.

Why it's safe to let it run

Every autonomous decision is logged — who · what · confidence. Signed human checkpoints and a built-in compliance reviewer enforce the rails, so the outcome holds up to an audit, not just a demo.

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