Veronica Lopez | Not Your Typical Lawyer

// Nine Steps

How I approach building with AI as an attorney.

Designed for anyone in a law firm, regardless of title or position.

Step 01

Pay attention to repeated work and complaints

Step 02

Check what already exists before building

Step 03

Define the problem at the source

Step 04

Map the workflow and dependencies

Step 05

Plan with the LLM as a thought partner

Step 06

Build in your approved environment

Step 07

Test and iterate with the requesting colleague

Step 08

Share what you've built

Step 09

Document and save in your own system

// Book a Session

You submit. I screen.
If approved, I prep. We meet ready.

What we can cover

Getting started with Claude inside a law firm
Converting legal plugins for IT-restricted environments
Workflow design and review
Legaltech product review from the practitioner's lens

If you have questions about my process, want to go deeper, or want to apply this to your specific situation — this is the session. I've worked with attorneys, KM professionals, innovation officers, and legal tech founders.

$250

60 min · 1:1 advisory session

Submit your scenario. I'll review it. If it's in scope, I'll send you a payment link to confirm your session.

Submit Your Scenario →

If it's not in scope, I'll tell you.

Resources

Public legal datasets.
Free to use.

Public datasets for attorneys who want to start building with AI without client data.

U.S. Case Law

Harvard Caselaw Access Project

6.7 million U.S. court decisions spanning 360 years. CC0 licensed.

case.law ↗

Case Law — API

CourtListener

Full-text federal and state opinions with a developer-friendly API.

courtlistener.com ↗

Contract Filings

SEC EDGAR

Millions of contracts filed by public companies. The source dataset behind most contract corpora.

sec.gov/edgar ↗

Annotated Contracts

CUAD & ACORD

500+ annotated commercial contracts across 41 clause types. Atticus Project.

atticusprojectai.org ↗

NDAs — Annotated

ContractNLI (Stanford)

607 annotated NDAs from Stanford NLP. CC-licensed and clean for clause extraction work.

stanfordnlp.github.io ↗

Contract Scale

Stanford MCC

1M+ real agreements filed with the SEC between 2000 and 2023.

mcc.law.stanford.edu ↗

Contract Provisions

LEDGAR

80,000 contract provisions from SEC filings, organized by clause type.

Hugging Face ↗

eDiscovery — Email

EDRM Enron Dataset

The standard email corpus for eDiscovery research. Used in the TREC 2010 Legal Track.

TREC Legal Track ↗

// What I'm Building

Things I've built.
Still building.

All of this started with a problem worth solving.

Attorney Workload Tracking System

A 30-attorney investigations team tracked workload through ad hoc emails. I replaced it with a Microsoft Forms survey, automated reminders, and a single weekly Excel report for partners. Full team adoption. Still running.

EU/UK AI Regulatory Tracker

A colleague needed something better than inbox alerts. I built a weekly digest in Claude Projects: monitors named primary sources, rates each development by significance, maps relevance by practice area, handles gaps between runs automatically. Built in a few hours. Still running.

Witness Interview Simulator

Almost everything built for legal AI targets transactional work. Almost nothing exists for investigations attorneys. A training tool for junior associates: models witness behavior, interview structure, evidentiary confrontation, and downstream risk.

ESI Protocol Generator

Generates ESI protocol drafts from matter inputs. Cuts the time spent on a document that needs to exist for every case and that almost no one enjoys drafting from scratch.

View on GitHub ↗

How I approach building with AI as an attorney.

The process,step by step.

You submit. I screen.If approved, I prep. We meet ready.

Public legal datasets.Free to use.

Things I've built.Still building.

The process,
step by step.

You submit. I screen.
If approved, I prep. We meet ready.

Public legal datasets.
Free to use.

Things I've built.
Still building.