HabeasCortex
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The AI Training Gap

After the AI training, some lawyers became power users.

The rest don't know where to start.

Introducing Habeas Cortex

Habeas Cortex

An interactive prompting guide for every practice in your firm.

Practice-aware. Seniority-aware. Self-directed.

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What Lawyers Love

I.

Practice-aware from day one.

No mental conversion of M&A prompts to litigation scenarios. Lawyers only see prompts that apply to their area of practice.

Practice group

Mergers & Acquisitions

An M&A lawyer learns how to use AI to find change of control provisions, build disclosure schedules, explore deal terms, and more. Each exercise teaches a broader lesson, such as how to manage the risks of hallucinations or write better prompts, but grounded in their actual practice.

Use cases — 12
  • 01Using AI to get up to speed on a new deal
  • 02Cataloging provisions across many contracts at once
  • 03Having AI review its own draft deal terms for inconsistencies
  • 04Asking for multiple options to explore trade-offs
II.

Dedicated tracks for senior lawyers.

Lessons for senior lawyers focus on using AI in delegation and supervising AI-assisted work.

Career stage

Supervising Others

For senior lawyers reviewing work. The advanced track covers team norms at kickoff, using AI as a review aid rather than a drafting shortcut, spotting AI-assisted writing, and delegating in the AI era. Each lesson teaches a supervision skill you can apply across matters, not generic prompt tricks.

Core lessons — 8
  • 01Setting team AI norms at kickoff
  • 02Using AI to review, not draft
  • 03Reviewing AI-assisted work
  • 04Recognizing AI-assisted writing
III.

Lessons that outlast the prompts.

Each prompt comes with a step-by-step guide: the use case, why the prompt is written that way, how to reduce hallucination risk, and more.

Lesson 03: Working Across Documents

The partner wants a table of every change-of-control provision across twelve material contracts, with section numbers and exact quoted language, by tomorrow morning.

Sample Prompt

For each contract, extract every provision triggered by a change of control. Return a table with these columns: contract name, counterparty, section number, exact quoted language, and type of trigger. Only include provisions that actually appear in the documents.

But can you trust the output?

A table with plausible-seeming citations can still contain made-up section numbers, quotations, and missed provisions.

How to verify efficiently:

  • Sample check first: verify a handful of random rows.
  • Ask the AI to "check again" to see if it produces a different answer.
  • Ask the AI to "verify" the output by searching the source documents for the key trigger terms.

Works with your AI stack

Keep your AI platform.

We teach your lawyers how to use it.

Harvey, Legora, Copilot, ChatGPT Enterprise, Claude, or an in-house model — our curriculum teaches universal, model-agnostic skills for prompt writing and judgment.

All marks are property of their respective owners. Shown for reference only.

Platform-agnostic

Harvey, Legora, ChatGPT, Claude — guides are model-agnostic and written to work wherever your attorneys already work.

Fully customizable

Start with our pre-built curriculum, or edit any use case, prompt, or example to match your practice group's needs.

Zero data exposure

IT approval in minutes, not months.

No data collected. Nothing to secure.

No AI inside

Habeas Cortex doesn't connect to any model. It's a library of guides your lawyers follow and apply in whatever AI tool they already use.

No input fields

Because lessons are static, there are no input fields for lawyers to upload sensitive data or files. They learn through guided simulations, not by typing.

Watch the demo

Three minutes to see how the platform works.

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