05 WEEKLY BRIEFING • OCTOBER 12, 2026

Technology
& Law Weekly.

The developments worth knowing before you practice.

CURATED BY THE
TECHNOLOGY LAW STUDENT ASSOCIATION

EDITOR'S NOTE

Legal AI is becoming a question of institutional readiness.

This week, the conversation moved beyond whether lawyers can use AI. Insurers are testing the liability consequences of autonomous systems; local officials are considering oversight; legal departments are moving from pilot to deployment; firms are rebuilding apprenticeship; and public-sector buyers are demanding security authorization. The common thread is governance: AI is becoming part of the legal institution, not just an individual productivity tool.

ISSUE 05

Five articles from this week.

LIABILITY

Insurers are preparing for claims tied to “rogue” AI agents.

The Financial Times reports that insurers are assessing AI-related exposure across crime, intellectual property, media liability, cybersecurity, and directors’ and officers’ coverage as autonomous systems create new forms of risk.

Why it matters: As AI tools act with more independence, legal questions about supervision, product design, disclosure, and professional judgment will increasingly arrive through ordinary liability channels.

Read the Financial Times report ↗

LOCAL GOVERNANCE

New York City officials pressed AI companies on safety and accountability.

At a City Council hearing, former employees and company representatives discussed the risks of rapidly advancing AI. Policymakers considered ideas including disclosures, third-party review, and whistleblower protections.

Why it matters: AI regulation is not only a federal or global issue. Lawyers advising clients may increasingly have to track city- and state-level rules that shape deployment, disclosure, and oversight.

Read the Associated Press report ↗

IN-HOUSE PRACTICE

TC Energy deploys Harvey across its legal team.

TC Energy announced a legal-AI rollout supporting work across Canada, the United States, and Mexico. Its pilot used a “Harvey-First” directive and expanded adoption across litigation, regulatory work, transactions, contracting, and compliance.

Why it matters: In-house adoption is moving from experimentation to operating model. The valuable lawyer will be the one who knows where AI provides a first pass and where legal judgment must take over.

Read the deployment announcement ↗

LAWYER DEVELOPMENT

Pillsbury is adding an AI mentor to associate training.

Pillsbury announced it will use rubi’s AI Mentor alongside its human-led lawyer-development program. The tool provides transactional simulations, personalized practice, and real-time feedback for junior lawyers.

Why it matters: If AI changes the early assignments through which associates learn, firms will need intentional ways to build practical judgment—not merely faster ways to finish a task.

Read Pillsbury’s announcement ↗

PUBLIC-SECTOR INFRASTRUCTURE

Texas authorization opens a path for legal AI in government work.

Harvey announced TX-RAMP Level 2 certification, a Texas cloud-security authorization that permits eligible state agencies, courts, and public institutions of higher education to use its platform on sensitive legal matters.

Why it matters: Legal AI adoption depends on infrastructure as much as capability. Security certification, procurement rules, and data-handling controls will determine which tools can reach public legal work.

Read the certification announcement ↗

WHAT TO WATCH

Who is accountable when AI becomes part of the workflow?

Watch for firms, legal departments, insurers, and governments to define responsibility at each stage: tool selection, access, review, escalation, and client-facing advice. “Human in the loop” is only meaningful when someone has a clear job to do.

TLSA QUESTION OF THE WEEK