1 ready-to-build workflow

AI agent workflows for Legal & contracts

Triage NDAs and contracts against your own playbook — first pass in minutes.

Each recipe below is expressed only in VegaDūta's real workflow building blocks — Trigger, Agent, Knowledge, Condition, Approval, Output, Tool (MCP), Voice, Device, Loop, Code and Parallel — so it maps 1:1 to something you can assemble in the Workflow designer. Consequential actions always pass a human Approval step.

1. First-pass contract review against your playbook

Every incoming contract waits in a queue for a lawyer to read it end-to-end and flag risky clauses by hand — a bottleneck for sales and procurement.

Trigger: Email or Webhook (contract uploaded)

How the workflow runs

  1. Trigger

    Contract submitted. An Email/Webhook trigger receives the document.

  2. Knowledge

    Compare to your playbook. A Knowledge node holds your clause standards and fallback positions; the contract is checked against them — with citations.

  3. Agent

    Flag deviations + suggest redlines. An Agent node lists non-standard clauses (liability, indemnity, term, jurisdiction) and proposes edits.

  4. Approval

    Lawyer reviews the flags. An Approval node puts the qualified opinion where it belongs — the agent surfaces, counsel decides.

  5. Output

    Return the marked-up summary. An Output node sends the risk summary back to the requester.

Channels & connectors

  • Email
  • Webhook
  • Knowledge base
  • Approval / HITL

Outcome

Routine contracts get a consistent first-pass in minutes; lawyers start from a flagged summary instead of a blank page.

Why it helps

Cuts the review bottleneck without removing the lawyer — the machine reads and flags, the human judges.

Build spec

1 agent1 review agent; the lawyer sign-off is an Approval node.

System prompt (paste-ready)

You are a contract first-pass reviewer. Compare the incoming contract against the clause standards and fallback positions in the playbook (Knowledge). Identify non-standard or missing clauses — liability, indemnity, term, termination, jurisdiction, IP, confidentiality — cite the playbook position each deviates from, and propose specific redline edits. Output a structured risk summary {clause, issue, playbook_position, suggested_edit, severity}. This is a first pass for a lawyer to review — never present it as legal advice or a final position.

MCP connectors

  • Document intake (email/upload) — via Email/Webhook trigger
  • Contract/DMS store — via a Tool (MCP) node

Built-in tools

  • document parsing (contract PDF/DOCX)
  • knowledge_search (clause playbook + fallbacks)

Guardrails

  • First-pass only — every flag is reviewed by a lawyer at the Approval node before anything goes back
  • Deviations cite the specific playbook position, not a generic opinion — no ungrounded legal claims
  • The agent flags and suggests; it never sends redlines to the counterparty itself

Output & delivery

The agent produces a cited, clause-by-clause risk summary with suggested redlines; a lawyer reviews it at the Approval node, then an Output node returns the marked-up summary to the requester.

Related industries

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