DIY

The in-house path.

Plenty of firms put AI to work on their own. Doing it well is the hard part. Retaining us to get it right is a real expense, so if you have the expertise and the bandwidth to do it well yourself, here are the same steps we would run, written plainly, so you can decide with your eyes open.

Before you commit to the in-house path

Three things that are hard to replicate alone.

None of the steps above is secret. What makes the in-house path heavier than it looks is rarely any one task, it is these three, together:

  • A senior lawyer who also understands the technology, rare in one person
  • The time it takes, pulled directly from billable work
  • Genuine neutrality, hard to keep when a vendor is in the room

From Codified Counsel

What we have prepared for firms looking to run this in-house.

Resources

Tools and reading we have found genuinely useful.

Research and reading

Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
Dahl, Magesh, Suzgun & Ho - Journal of Legal Analysis (2024)
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Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools
Magesh, Surani, Dahl, Suzgun, Manning & Ho - Stanford RegLab / Journal of Empirical Legal Studies (2024-25)
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GPT-4 Passes the Bar Exam
Katz, Bommarito, Gao & Arredondo - Philosophical Transactions of the Royal Society A (2024)
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Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence
Nay - Philosophical Transactions of the Royal Society A (2024)
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Augmented Lawyering
Armour, Parnham & Sako (2020) - SSRN
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Generative AI Systems in Legal Practice: Offering Quality Legal Services While Upholding Legal Ethics
Terzidou - International Journal of Law in Context (2025)
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Preparing Students for the Artificial Intelligence Era: The Crucial Role of Critical Thinking Skills
Moppett - Mitchell Hamline Law Review, Vol. 52 (2025)
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Agentic AI and Occupational Displacement: A Multi-Regional Task Exposure Analysis
Gupta & Kumar - arXiv (2026)
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Guarding Against AI Errors: Ethical Risks for NC Attorneys
Fred W. DeVore III & Rob Wilder - North Carolina State Bar Journal, Summer 2026
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Doe v. Univ. of N.C. System - show-cause order on AI-hallucinated citations
U.S. District Court, W.D.N.C. (Chief Judge Reidinger, 2026) - the court order behind the article above
Read ↗

Tracking the rules by state

AI Policy Tracker for Lawyers
Law Tech AI - state bills, federal proposals, court rules & bar ethics guidance
Open tracker ↗

Commentary

The Volokh Conspiracy - “AI in Court”
Eugene Volokh and others - Reason
Browse posts ↗
LawSites
Bob Ambrogi
Visit ↗
Artificial Lawyer
Legal tech & AI news
Visit ↗

Codified Counsel does not warrant these resources or their timeliness, the list is not exhaustive, and linking implies no affiliation. Nothing contained herein is legal advice.

Starting in-house? Use us as a second set of eyes.

If you begin this yourself and want to pressure-test the plan, or hand off the parts that are hardest alone, that is a perfectly good reason for a discovery call.

Schedule a discovery call →