Latham & Watkins operates a 3,500-person global partnership spanning transactional, litigation, corporate, and regulatory work across Asia, Europe, the Middle East, and the US. The firm's tech stack reveals an active move toward AI infrastructure: Python, R, PyTorch, TensorFlow, LangChain, and large-language models (GPT, Llama 2, BERT, LoRA) sit alongside traditional legal research tools (Westlaw, LexisNexis). Active projects on AI-enabled transactional workflows and pain points around billing and e-submission volume suggest the firm is automating document handling and deal processes—a strategic shift for a firm historically built on human expertise.
Notable leadership hires: Head of Client Events
Latham & Watkins is a global law firm founded in 1934, headquartered in New York, with more than 3,500 lawyers across offices in the United States, Europe, Asia, and the Middle East. The firm serves as a full-service transactional and litigation practice, covering corporate advisory, regulatory matters, and dispute resolution. Current operational focus includes automating billing workflows, improving e-submission handling, building AI-enhanced transactional tools, and scaling internal training and compliance infrastructure. The firm maintains active hiring across legal roles, finance, HR, and engineering—indicating concurrent investment in both traditional practice scaling and technical capability-building.
The firm uses PyTorch, TensorFlow, scikit-learn, LangChain, and large-language models including GPT, Llama 2, and BERT, along with deployment infrastructure like TorchServe, ONNX, and Triton. Current projects focus on optimizing AI systems for transactional workflows.
The firm uses Tableau, Power BI, Qlik, and Microsoft Fabric for analytics; Databricks for data engineering; and SQL, Python, and R for data work. These support internal billing, workflow optimization, and deal database management.
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