Judge Michael Fitzgerald has served on the Central District of California bench since 2012, handling a broad docket that includes class actions, employment litigation, and complex commercial cases in one of the busiest federal courts in the country. The C.D. Cal. covers the sprawling Los Angeles metro area, generating a massive volume of filings that creates both the temptation and the risk of AI-assisted shortcuts.
Judge Fitzgerald's courtroom operates in a district where AI use is widespread but guardrails are being built in real time. Multiple C.D. Cal. judges have issued AI standing orders, and the district's approach is evolving rapidly. Attorneys who treat AI compliance as optional are taking an increasingly risky gamble.
Judge Fitzgerald's Courtroom and Caseload
Judge Fitzgerald was appointed to the C.D. Cal. in 2012 and handles a diverse docket that reflects the Los Angeles legal market. His caseload includes class action litigation, employment disputes, consumer protection cases, and complex commercial matters. Class actions present particular AI risks because the briefs tend to be long, citation-heavy, and produced under tight deadlines—exactly the conditions that lead attorneys to lean on AI tools. In class certification briefing, an AI-generated citation to a nonexistent circuit court opinion could torpedo months of work.
C.D. Cal. AI Landscape
The Central District of California has four or more judges with individual AI standing orders, and Judge Fitzgerald's courtroom operates within that evolving framework. The district has not adopted a unified AI rule, which means your obligations depend on your assigned judge. What's important to understand is that even judges without formal AI orders still expect Rule 11 compliance—and Rule 11 doesn't care whether your inaccurate citation came from careless research or from ChatGPT. The distinction between having an AI order and not having one is about disclosure requirements, not accuracy standards.
Class Actions and AI-Generated Briefing Risks
Class action litigation involves certification briefing, discovery management, settlement negotiations, and fee petitions—all areas where AI can help and where AI errors carry outsized consequences. AI-generated class certification briefs may cite inapplicable precedent, mischaracterize the requirements of Rule 23, or apply the wrong circuit's standard for commonality, typicality, or predominance. Fee petitions are particularly dangerous because they require precise calculation of hours and rates—AI tools regularly make mathematical errors or cite incorrect billing guidelines. In Judge Fitzgerald's courtroom, class action errors can affect thousands of class members, not just the named parties.
Practical Compliance Steps
Step 1: Check Judge Fitzgerald's current standing orders and chambers procedures on the C.D. Cal. website. Step 2: In class action briefing, manually verify every citation to Rule 23 case law and ensure you're applying the correct Ninth Circuit standards, not generic AI-generated analysis. Step 3: For fee petitions, verify all calculations independently. AI math errors are surprisingly common. Step 4: In employment cases, confirm all references to state and federal employment statutes, regulations, and agency guidance. California employment law changes frequently, and AI training data may not reflect current law. Step 5: Run every citation through a traditional legal database and keep records of your verification process.
Employment Litigation and AI Complications
California employment law is among the most complex and rapidly changing areas of state law, and C.D. Cal. judges handle a heavy employment docket. AI tools trained on older data may cite superseded regulations, reference outdated Labor Code provisions, or conflate federal FLSA standards with California wage-and-hour law—which is often more protective. Employment attorneys filing before Judge Fitzgerald need to be especially careful about state-federal distinctions that AI models blur. A brief that applies FLSA standards when California law governs, or vice versa, reveals either careless AI use or careless supervision of AI output.
The Bottom Line: Judge Fitzgerald's class action and employment docket demands precision that AI tools regularly fail to deliver. Verify Rule 23 citations against current Ninth Circuit law, double-check all fee petition calculations, and confirm California employment law references reflect current statutes.
AI-Assisted Research. This piece was researched and written with AI assistance, reviewed and edited by Manu Ayala. For deeper takes and the perspective behind the research, follow me on LinkedIn or email me directly.
