New Jersey Courts’ AI Guidance: Responsible Use Becomes Legal Infrastructure
The New Jersey Judiciary maintains a centralized collection of AI principles, guidance, lawyer notices, educational materials, and responsible-use resources.
Sources Cited
CounselCore Research Record
Public summaries of cases, policy materials, and AI-governance sources behind the CounselCore position on sovereign in-house legal AI.
Educational summaries
Legal AI risk
Not legal advice
Why These Sources Matter
These materials support the core CounselCore argument: law firms and legal departments need AI systems that preserve privilege, keep evidence in their custody, and avoid exposing sensitive matter data to uncontrolled cloud workflows.
Fake Cases, Real Sanctions: Why AI-Assisted Legal Work Must Be Verified
The ABA discusses sanctions arising from fabricated AI-generated authorities and reinforces the lawyer's duty to verify every citation, quotation, and proposition submitted to a court.
Preparing Legal Data for AI: Cleanup, Metadata, Permissions, and Governance
ILTA treats AI readiness as an information-governance decision: document cleanup, metadata, taxonomy, security, permissions, source quality, and ongoing corpus maintenance determine whether retrieval can be trusted.
Shadow AI: The Risk of Lawyers Using Unapproved AI Tools
The article treats unauthorized AI as an enterprise risk involving sensitive data, unreviewed providers, policy violations, and records outside normal security and retention controls.
CoCounsel and DeepJudge: Permission-Aware Firm Knowledge in Legal Workflows
The integration combines external legal content with permission-aware firm knowledge, raising the competitive standard for source provenance, ethical walls, and knowledge reuse.
Anthropic Fable and Mythos Access Statement: Model Governance and Government Intervention
A practical summary of Anthropic’s Fable 5 and Mythos 5 access statement and what it signals about AI governance, model access, and institutional risk.
Federal appellate courts are now getting much tougher
The most striking example is LNU v. Blanche, Ninth Circuit, June 3, 2026. Attorneys Mike Singh Sethi and William Rounds submitted briefs containing: nonexistent cases; misattributed quotations; grossly misrepresented real cases. They repeatedly denied…
The Perfect Case Problem: Grounding Helps, but Lawyers Still Must Verify
The article teaches lawyers to treat an unusually perfect AI-generated case as a verification trigger and explains that grounding improves traceability without guaranteeing legal accuracy.
Alabama/Texas/Tennessee/Oklahoma — Matthew Brett Reeves
This is one lawyer who generated four separate state disciplinary consequences from one AI episode. The underlying conduct Matthew Brett Reeves used ChatGPT to add five citations to two motions in federal court in…
Miller v. Regions Bank: AI Misuse, False Authority, and Evidence Preservation
A practical summary of Miller v. Regions Bank and its lessons for AI-generated legal research, false authority, candor, and evidence preservation.
Indiana — Tae Sture
Indiana provides an interesting contrast. Attorney Tae Sture filed a brief containing two nonexistent authorities generated through an AI-enabled legal research workflow involving Fastcase. The magistrate initially recommended $7,500. The district judge ultimately reduced…
Cybersecurity as Law-Firm Governance: Protecting Client Data Beyond IT
The commentary frames cybersecurity as a leadership, professional-responsibility, vendor-risk, monitoring, incident-preparation, and client-service concern rather than an isolated IT function.
New York — Janelle Melissa Lewis: an actual interim license suspension
This is another particularly significant case. Janelle Melissa Lewis — New York Lewis was hired through an online freelance-lawyer platform by a Texas immigration attorney to prepare a response to an order to show…
Accidental AI Disclosure: Why Legal Prompts Must Be Treated as Sensitive Records
The article explains how ordinary prompting can expose client facts, documents, or strategy to externally hosted systems and recommends approved platforms, policy, training, and provider-term review.
Falcon Rappaport & Berkman’s AI-Native Newark Office: What Firmwide AI Requires
The article describes an AI-native Newark office intended to advance firmwide AI tools, internal governance, and client advisory work. It shows legal AI moving from isolated experimentation into law-firm operating strategy.
Georgia — Deborah Leslie: six-month Supreme Court suspension
This is another unusually severe case. Deborah Leslie — Georgia Leslie was an assistant district attorney in Clayton County prosecuting the Hannah Payne murder case. She used AI in preparing legal filings. The filings…
Benchmarking Legal RAG: Grounding Improves Results but Does Not Eliminate Error
The research benchmarks legal retrieval-augmented generation and finds meaningful improvement from specialized methods while retrieval and reasoning failures remain material.
ACC’s 2026 AI Toolkit: In-House Counsel Moves from Experimentation to Governance
ACC's second-edition toolkit organizes AI adoption around maturity, governance, use cases, ethics, intellectual property, vendor contracting, outside counsel, and emerging agentic systems.
Epiq and DeepJudge: Institutional Knowledge Becomes AI Infrastructure
The collaboration illustrates market demand for permission-aware AI that retrieves and reasons over law-firm institutional knowledge rather than relying only on general information.
AI-Enabled Law Firms Must Rethink Lawyer Development and Business Models
The article connects AI adoption to junior-lawyer training, validation skills, staffing, leverage, pricing, and the need to preserve distinctly human legal judgment.
8am 2026 Legal Industry Report: AI Adoption Is Outpacing Law Firm Governance
The ABA review reports widespread personal AI use alongside concerns about security, ethics, privilege, and trust, while many organizations still lack training and enforceable policy.
Nebraska — W. Gregory Lake: the most serious state-license case
This is currently the case I would regard as the most important precedent in the United States. W. Gregory "Greg" Lake — Nebraska What happened Lake represented a father in Prososki v. Regan, a…
Generative AI Adoption and the Law-Firm Governance Gap
Survey data from about 1,300 legal-industry respondents shows broad use of general and legal-specific AI, but far fewer organizations with enforced policy or comprehensive training.
The Great AI Disconnect: Law Firms and Clients Need Visibility
The analysis describes a communication gap between law firms and legal departments over AI use, client expectations, billing, and return on investment.
Arizona — John A. Griffiths
Arizona has also now produced a genuine state disciplinary case involving AI. John A. Griffiths — Arizona The state disciplinary record identifies use of Eve.legal, with fabricated/misrepresented case authority. The resulting discipline was a…
Sixth Circuit — Van Irion and Russ Egli
In Whiting v. City of Athens, the Sixth Circuit imposed another unusually severe sanction. The attorneys' briefs contained more than two dozen fake citations and factual misrepresentations, with hallmarks of AI hallucination. The court…
The AI Value Divide: Clients Want Efficiency, Transparency, and Fair Pricing
The analysis describes tension between clients seeking AI-enabled efficiency and transparency and firms trying to price, measure, and capture the value of technology investment.
Two Federal AI Cases: Privilege and Work Product Require Fact-Specific Analysis
The ABA compares federal decisions showing that AI communications are not automatically privileged, automatically waived, or automatically work product; purpose, confidentiality, counsel direction, and disclosure matter.
AI Meeting Transcripts: New Discovery, Preservation, and Litigation-Hold Risks
The article explains that AI-generated meeting transcripts, summaries, chats, and metadata can become electronically stored information subject to retention, litigation holds, and discovery.
United States v. Heppner: Generative AI, Privilege, and Work Product
A practical, SEO-friendly summary of United States v. Heppner and what it means for generative AI, attorney-client privilege, work product, and law firm AI governance.
New York — Omid Zareh: public censure
Omid Zareh — New York This one is much cleaner as an AI-related disciplinary precedent. Zareh participated in preparation/review of a federal brief containing: numerous citation errors; misrepresented case law; authorities that did not…
2026 AI in Professional Services Report: Adoption Reaches Critical Mass
Thomson Reuters documents a sharp rise in organization-wide AI use while systematic return-on-investment measurement remains limited. Adoption is becoming normal faster than many organizations can evaluate it.
A Responsible AI Checklist for Law Firms: Approved Tools, Verification, Human Signoff
The ABA checklist translates ethical duties into an operational workflow: use approved systems, protect information, verify sources and reasoning, train users, and require final human signoff.
Ten AI Questions Clients Will Ask Outside Counsel
The ACC resource gives in-house teams a due-diligence structure for evaluating outside counsel's approved tools, data handling, human review, governance, records, incident readiness, and value.
Corporate Legal AI Use More Than Doubles: What Outside Counsel Must Explain
ACC reports that corporate legal-department AI use more than doubled, while many clients still did not know whether outside firms were using AI or adjusting pricing for AI-enabled efficiency.
AI Strategy and Risk: Governance, Training, Transparency, and Data Security
New Jersey experts emphasize risk assessment, pilot programs, employee upskilling, transparency, security, and flexible governance as organizations implement AI.
ACC Outside-Counsel AI Guidelines: Disclosure, Security, Accuracy, Performance
ACC's public resource describes sample outside-counsel AI guidelines addressing disclosure, data security, accuracy, and performance expectations.
Massachusetts — Steven J. Marullo: first Massachusetts AI disciplinary case
Steven J. Marullo — Massachusetts This was a particularly instructive case. Marullo represented an estate in a wrongful-death case. His associate and interns prepared opposition papers. The associate used AI for legal research. The…
Kohls v. Ellison: Expert Declarations, Deepfakes, and AI-Hallucinated Citations
A practical summary of Kohls v. Ellison and its lessons for expert declarations, deepfake litigation, AI hallucinations, and evidentiary reliability.
From AI Tools to AI Teammates: What Agentic Legal Work Requires
The article frames AI agents as emerging legal teammates that depend on structured firm knowledge, matter context, workflow boundaries, governance, and human oversight.
Protecting Law-Firm Data in the GenAI Era: Governance Before Deployment
The article emphasizes AI and vendor inventories, data minimization, contractual safeguards, and firmwide governance, including AI features introduced through existing software.
ABA Formal Opinion 512: Ethical Duties Follow Lawyers into AI Workflows
ABA Formal Opinion 512 applies existing duties of competence, confidentiality, client communication, supervision, candor, and reasonable fees to generative AI use.
AI Practice Groups: Clients Need Integrated Regulatory, Privacy, and Cyber Advice
The article describes a cross-disciplinary AI practice group addressing regulation, intellectual property, privacy, cybersecurity, transactions, and ethics.
Kruse v. Karlen: Fictitious AI Cases and Appellate Briefing Failure
A practical summary of Kruse v. Karlen and its warning about fictitious AI-generated cases, appellate briefing, and frivolous appeals.
Park v. Kim: AI-Generated Citations and Professional Responsibility
A practical summary of Park v. Kim and what it teaches about AI-generated citations, appellate filings, and professional responsibility.
Florida Bar Opinion 24-1: Confidentiality, Verification, Billing, and AI
Opinion 24-1 permits generative AI use while emphasizing confidentiality, output verification, supervision, reasonable fees, and compliance with advertising rules.
Early Legal AI Caution: The Same Confidentiality and Accuracy Risks Persist
The early article documented concerns about confidentiality, accuracy, liability, limited formal policy, and the need for human oversight and training before current adoption levels became widespread.
Mata v. Avianca: Fake Cases and the Duty to Verify AI Research
A clear summary of Mata v. Avianca, the landmark sanctions order involving ChatGPT-generated fake cases and the legal duty to verify AI research.
Discuss the Risk Profile With CounselCore
Use these source summaries as a starting point for a confidential briefing on in-house AI, privilege, evidence custody, and governance controls.