Gibson Dunn and Davis Polk advised SpaceX on a record-breaking $75 billion initial public offering, marking one of the largest IPOs in corporate history. The deal underscores the continued dominance of elite corporate law firms in guiding major technology companies through public markets.
Judges are pushing back against artificial intelligence's role in accelerating a longstanding problem in legal practice. Lawyers have fabricated case citations and facts for decades, but AI tools now compress what once took months into minutes. A federal judge recently sanctioned an attorney for submitting AI-generated briefs containing entirely fictional cases. The court emphasized that while human lawyers invented false citations before, machine learning systems generate hallucinations at industrial scale. This trend forces courts and bar associations to confront accountability gaps in AI-assisted legal work.
Law students are increasingly frustrated with large firm recruiting timelines. The traditional summer associate hiring process has become chaotic and compressed, leaving students with minimal time to evaluate opportunities or negotiate offers. Recruitment now accelerates earlier in the academic year, disrupting classroom schedules and creating pressure on first-year students. The complaints reflect broader dissatisfaction with BigLaw's hierarchical culture and demanding work expectations. Students cite unpredictable hours, minimal mentorship, and the expectation of 2,000-plus billable hours annually as core grievances. Some firms have begun tweaking schedules in response, but widespread reform remains elusive.
These three stories sketch the current legal landscape. SpaceX's IPO demonstrates that corporate transactions remain the profit engine for premier firms. The AI hallucination issue reveals systemic vulnerabilities in legal profession standards as technology accelerates old problems. The recruiting calendar chaos reflects a generational disconnect between students seeking work-life balance and firms structured around extraction of maximum billable hours.