Legal

Building and maintaining a legal AI knowledge base

Use AI to document, organize, contextualize, and maintain a searchable legal knowledge system — including prompts, workflows, playbooks, folder structures, templates, and field notes — so legal teams and AI assistants can retrieve the right context quickly and work more consistently.

Why the human is still essential here

Legal professionals must decide what knowledge, guardrails, and structure belong in the system; validate what is accurate, safe, and current; and determine how AI should use that context. Humans remain responsible for governance, curation, confidentiality, escalation rules, and any legal conclusions or advice.

How people use this

Prompt-to-SOP playbook drafting

AI converts raw working prompts and ad-hoc process notes into polished, step-by-step playbook pages with prerequisites, guardrails, and review checklists for counsel approval.

Harvey / ChatGPT Enterprise

Semantic search across prompts, notes, and playbooks

Enterprise AI search indexes your prompt library, demo write-ups, and internal guidance so legal teams can ask natural-language questions and retrieve the right workflow instantly.

Glean

Legal team instruction manual

A legal department creates a central AI playbook that tells the assistant how to summarize issues, what risks to prioritize, and how to format answers for business stakeholders.

Claude / ChatGPT Enterprise

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Related Prompts (2)

Community stories (2)

LinkedIn

Claude is my operating system.

Claude is my operating system.

It's a CLM, Word plugin, assistant and agent all rolled into one.


Right now, while I'm answering legal questions, Claude is running in the background restructuring my folder system, adding context where it needs to be, organizing everything under a single file that tells it how to work with me and how to work with legal at Worksome.


The CLAUDE.md file.

Think of it as the instruction manual for Worksome's legal department and me. Except I didn't write it for humans.


The structure is three layers:


1️⃣ The CLAUDE.md file

It includes who I am, how legal works, what I care about, how I like information presented, how I want AI to think and handle queries, which folder to go to for which task.


2️⃣ A context document written for AI in each folder

Plus the actual knowledge. Ya know - the files and Word docs lawyers love.


3️⃣ Claude has navigation instructions

In the CLAUDE.md file and context files within each folder.


Baby experiments first. Low stakes. When those work, and only then do I apply it to the things that matter.


It's a little scary.

Mostly exciting.


And I genuinely have no idea what the end state looks like yet.


I'm documenting all of this in AI Field Notes from a GC. Next issue is entirely about my CLAUDE.md file and Cowork.


If you're building something similar and rethinking where context lives, how your systems are structured, what it means to actually run legal on AI, I'd love to compare notes.


(See, I told you I didn't need a CLM or a Word plugin. 😉)

LJG
Laura Jeffords GreenbergGeneral Counsel at Worksome
Mar 18, 2026
LinkedIn

My legal AI demo battles got hundreds of replies

My legal AI demo battles got hundreds of replies. I can't keep up. Plus, people ask where to find that prompt I shared 3 weeks ago, or that workflow from last month. Everything's buried somewhere in my feed. So I built a solution (with AI, obviously, duh). What's there? Weekly AI Field Notes from a GC (free weekly updates on the latest demo battles, what's working in my legal function, what's failing—organized, searchable, permanent) and The Field Guide (paid membership with the prompts and workflows I use daily, vendor evaluations, implementation guides, and monthly Q&A videos).

LJG
Laura Jeffords GreenbergGeneral Counsel at Worksome
Feb 24, 2026