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Legal AI Laboratory
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Workflows

The Platform Handles Legal Work Step by Step.

In a legal workflow, the platform moves each legal task through a series of connected steps, from client intake and AI analysis to attorney review, revision, and final work product.

Workflow Engineering

An example Invention Analysis workflow for patent drafting.

00 · Workflows

Workflows as Building Blocks

Workflows are the building blocks that organize legal work into connected steps.

Diagram of the Legal AI Architecture with Workflows highlighted: Platforms, Workflows, and Reasoning Systems as interconnected parts of the Legal AI System, supporting Legal Applications such as litigation, transactions, advisory, and compliance.

01 · The Problem

A legal task is rarely one question.

Actual legal work involves more than a conversation. It requires understanding the legal task, working with documents, performing analysis, reviewing results, revising the work, and applying professional judgment. That is why structured workflows matter.

Isolated AI Interaction

  1. Prompt
  2. AI Answer

Structured Legal Workflow

  1. Legal Task
  2. Specialized AI Agents
  3. Intermediate Work Products
  4. Attorney Review
  5. Revision
  6. Final Work Products

02 · Workflow Engineering

Turning a legal task into an executable workflow.

A legal task is rarely one job. The platform can organize different AI specialists around different parts of a workflow, with a pipeline orchestrator coordinating the work from one stage to the next.

Diagram showing a legal matter entering an execution pipeline orchestrated by a Pipeline Managing Agent, coordinating a Production Agent, Compliance Agent, and Feedback Agent into versioned work products, with an attorney reviewing and providing feedback back into the pipeline.

  • Task Decomposition

    Complex legal work is decomposed into executable stages.

  • Versioned Work Products

    Every stage produces a reviewable, versioned work product.

  • Deterministic Execution

    A pipeline orchestrates workflow execution.

  • Quality · Attorney-in-the-Loop

    Attorney oversight remains part of the production pipeline.

RoleDescription
Attorney (human)Reviews the work product, provides feedback, and guides the workflow.
Production AgentPerforms the assigned legal task and produces the work product.
Compliance AgentChecks the work product against steps, requirements, and instructions.
Feedback AgentReviews attorney feedback, identifies needed changes, and guides the revision.

03 · Example Workflow

Invention Disclosure Analysis.

An example structured workflow for analyzing an invention disclosure supporting patent drafting.

Figure 1 · Workflow Architecture

Workflow structure and revision loop.

Diagram of the deterministic pipeline coordinating the invention analysis workflow: a Patent Disclosure feeds a Disclosure Analyzer, Compliance Reviewer, and Feedback Reviewer AI agent chain, producing a versioned work product and revision plan under a Pipeline Managing Agent, with attorney feedback looping back in.

Figure 2 · Execution Interface

Chat interface for pipeline execution.

Telegram chat trace showing the invention analysis pipeline manager bot receiving a task, launching the pipeline, and reporting that execution completed successfully.

Figure 3 · Pipeline Output

Step status and generated work products.

Terminal log showing the invention analysis pipeline running Stage 1 through Stage 3 to completion, listing each stage's generated work products, ending in status Ready for Attorney Review.

One pipeline, multiple interfaces. The same workflow can be executed through our Legal AI Services platform, external chat-based interfaces, or a command-line interface (CLI) environment without changing the underlying workflow logic.