Judge Sallie Kim

Magistrate Judge Sallie Kim handles a heavy caseload in the Northern District of California, including discovery disputes, pretrial management, and settlement conferences in technology and intellectual property cases. As a magistrate judge in Silicon Valley, she's on the front lines of the AI-in-litigation question—managing the day-to-day procedural battles where AI tools are most commonly used.

The N.D. Cal. doesn't have a district-wide AI rule, so your AI obligations depend entirely on which judge you draw. Judge Kim's courtroom expectations reflect the district's technology-forward culture: AI isn't prohibited, but attorneys are expected to take full responsibility for every word in their filings, regardless of how it was produced.

Judge Kim's Role in N.D. Cal. Litigation

As a magistrate judge in the Northern District of California, Judge Kim handles critical pretrial functions including discovery management, motion practice, and settlement conferences. In the N.D. Cal.'s technology-heavy docket, this means she regularly oversees disputes involving e-discovery, protective orders, and technical evidence—areas where AI tools are increasingly used by both sides. Magistrate judges often see the most granular litigation work, which means AI errors in discovery responses, meet-and-confer correspondence, or pretrial motions are more likely to surface in Judge Kim's courtroom than in a trial judge's.

N.D. Cal.'s Patchwork AI Requirements

The Northern District of California is one of the most active districts for AI standing orders, with five or more judges issuing individual requirements. But these orders aren't uniform. Some judges require formal AI certifications. Others simply remind attorneys of Rule 11 obligations. Still others haven't addressed AI at all. Judge Kim operates within this patchwork, and attorneys need to check her specific standing orders and any case-specific requirements before filing. The N.D. Cal.'s approach reflects its Silicon Valley location—the judges understand that banning AI is unrealistic, so they're focused on accountability rather than prohibition.

Discovery and AI: Where the Risks Multiply

Discovery is where AI risks are most acute and least discussed. Attorneys use AI to review documents, draft discovery responses, prepare privilege logs, and generate interrogatory answers. Each of these tasks involves accuracy obligations that AI tools can compromise. An AI-generated privilege log that misclassifies documents could result in waiver of privilege. An AI-drafted interrogatory response that includes inaccurate factual statements could be used as an admission. In Judge Kim's courtroom, where discovery disputes are daily fare, these risks are real and immediate. The consequences of AI errors in discovery can be worse than errors in briefing because they affect the factual record, not just the legal argument.

Practical Steps for Judge Kim's Courtroom

Step 1: Check Judge Kim's current standing orders on the N.D. Cal. website before filing anything. Step 2: For discovery-related filings, verify every factual statement against the record. AI tools can drift from the facts when generating response drafts. Step 3: If using AI to assist with document review or privilege logging, implement a human verification layer before any production. Step 4: In meet-and-confer letters and joint discovery statements, ensure all representations about the record are accurate—these documents are relied upon by the court. Step 5: Consider voluntary disclosure of AI tool usage, particularly in cases involving technology companies where AI transparency carries additional significance.

Technology Cases in Silicon Valley's Federal Court

The N.D. Cal. handles more technology litigation than any other federal court in the country. Patent cases, trade secret disputes, privacy litigation, and antitrust actions involving tech giants all flow through this district. Judge Kim's pretrial management role means she sees the full lifecycle of these cases from initial scheduling through trial preparation. In technology cases, both sides typically have sophisticated AI capabilities, and the risk of an AI arms race in litigation is real. Judge Kim's courtroom requires attorneys to maintain the same professional standards regardless of the tools they use—the technology doesn't create a lower bar for accuracy.

The Bottom Line: Judge Kim handles the day-to-day litigation mechanics in Silicon Valley's federal court, where AI errors in discovery and pretrial work carry serious consequences. Verify all AI-assisted work against the record, check her standing orders before filing, and maintain human oversight of every AI-generated output.