Three-Model Consensus, 100-Document Pack
Three-Model Consensus, 100-Document Pack
Three-Model Consensus, 100-Document Pack
Three-Model Consensus, 100-Document Pack
Three-Model Consensus, 100-Document Pack
Three-Model Consensus, 100-Document Pack

Three-Model Consensus, 100-Document Pack

100 documents through the three-AI quorum, with reconciliation reports per document and a discount over the per-document rate.

Price: custom quote; final amount is confirmed before checkout.

Day one of a 100-document audit. A firm is preparing a major matter with 80 exhibits plus 20 supporting documents that need consensus review before submission. The pack runs all 100 documents through the quorum over the engagement period.

What it is

A 100-document pack of three-AI consensus reviews. Each document runs through OpenAI's ChatGPT, Anthropic's Claude, and Google's Gemini with reconciliation report. Priced at a discount over the per-document rate. Documents can be batched or submitted as needed during the engagement period.

What's in it

  • 100 document reviews through the three-AI quorum
  • Reconciliation reports per document
  • Flagged-concern summary across the pack
  • Discount over per-document pricing
  • 12-month engagement period to use the pack

Who it's for

Firms and operators with large-volume high-stakes document workloads: major-matter trial prep, settlement-package review, large content-launch with compliance requirements. Built for the operation that knows it has 100 documents that matter.

When to pick this one

Pick this for high-volume document review. For one-off documents, see Three-Model Consensus, Per Document Audit.

Driven by the Good Creative Media Automation Engine

The subscription instantly instantiates a proprietary network of 90 custom workspace automations engineered by Julie Good to eliminate manual operational sludge and enforce absolute data truth.

Texas attorneys and the rules for AI

Texas permits a licensed attorney to use generative AI in practice, and it places the responsibility for that use squarely on the attorney. In Opinion 705 (February 2025), the State Bar of Texas set out four duties that apply to every matter that touches AI: competence, confidentiality, verification, and fair billing. Competence requires the attorney to understand how the technology works, including the limitations of each model and the way the platform routes between them; the attorney does not need to be an engineer, but does need to know enough to recognize when the tool is wrong. Confidentiality requires that client information be processed only through systems whose terms preclude redistribution and preclude training on client content without consent.

Verification requires that no AI output be relied on in client representation or in a court filing without independent review by the licensed attorney. This is the duty that has produced sanctions, and Texas attorneys have already been disciplined for filing unverified, AI-invented citations. Fair billing requires that any efficiency gained be passed to the client.

The IMC Machine is built around these duties. Every draft, worksheet, transcript, and dismissal pathway it produces is a proposal, not a filing: nothing files automatically, and the attorney of record signs and approves every release. Each court-facing draft is routed for independent review across OpenAI’s ChatGPT, Anthropic’s Claude, and Google’s Gemini before it reaches the attorney, and every AI invocation is named and timestamped in the platform’s audit log.

When AI output is offered into evidence rather than used as work product, it must satisfy authentication under Texas Rule of Evidence 901, and the emerging Federal Rule of Evidence 707 will add reliability gatekeeping; the platform records model identity, configuration, and the human review pass so counsel can lay that foundation. The Texas Responsible Artificial Intelligence Governance Act, in force since January 1, 2026, is a civil framework that does not reach ordinary attorney work product. No statewide Texas rule requires disclosure of AI use in court filings, but federal districts and individual judges differ, so counsel should consult each judge’s standing order before filing. AI can make mistakes. The tool is permitted; the judgment, the verification, and the signature remain the attorney’s, and that responsibility is not transferable.