The firm offers staff an 'innovation hours' programme that lets lawyers allocate up to 50 billable hours to explore ways to make their work more creative, efficient or client-focused. The article presents it as an internal AI-related experimentation effort.
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Corporate AI investment
What law firms and legal teams are investing to build AI in-house: budgets, internal platforms, AI groups, hires, and dedicated funds. Largest committed first.
The firm expanded its partnership with AI provider Hebbia to streamline document review and data analysis in high-stakes transactions. It is also rolling out training so first-year associates can spend around 20% of their billable time on generative AI adoption and integration.
Ropes & Gray announced that it has adopted Centari across its premier transactional practices to enhance AI-driven counsel. The page describes this as a platform deployment inside the firm, but gives no dollar figure.
Latham & Watkins deployed Kira Systems AI for document review in M&A and financing processes. It identifies clause-level risks across thousands of contracts and reduces multi-week associate work to under one day.
The firm integrated Harvey AI to analyze and compare hundreds of contract clauses in complex due diligences. It replaced weeks of manual review by senior associates with work completed in hours to free time for higher-value work and reduce error risk.
Gibson Dunn is hiring a Legal Technology Solutions Architect to advance the firm’s Legal Technology and Artificial Intelligence initiatives. The role is meant to develop AI-enabled solutions, support adoption of AI across the firm, and work with internal teams on legal and business workflows.
The firm spent on legal tech software over the past year while opening a new Manhattan office. The article links this to changing how its lawyers will practice, including AI use.
The firm spent on legal tech software while expanding its San Francisco office. The article says Mintz is not currently looking at reducing headcount.
The firm launched a San Francisco office and was developing two internal AI platforms. The article ties this to broader firm growth and investment in technology.
The firm announced a partnership with Dioptra to launch an AI-powered contract-review system through its internal technology platform Neuron. The system is now available to clients for a fixed fee.
The firm plans to use AI agents to assist with high-volume contract management, contract-remediation projects, and M&A contract harmonization. The page says AI outputs will be reviewed by experienced lawyers.
The firm is developing its own in-house AI, led by partner and self-taught coder Josias Dewey. The planned AI agent will help lawyers review and edit complex financial agreements and speed up contract review.
The firm expanded access to an in-house version of Harvey branded as CelIA, which it uses to analyze complex contracts and generate first drafts. The page says it first rolled out Harvey to 100 attorneys before expanding to 1,200 lawyers across 26 offices.
The firm developed its own proprietary, in-house cloud-based AI platform called Vanilla to help investment fund clients stay in compliance with federal securities laws. It also launched Cooley GObot, an AI-powered chatbot for its Cooley GO resource hub.
The firm says Reinvent by Baker McKenzie is its innovation program, combining its Applied AI team, practice innovation, alternative legal services, legal project management, e-discovery and data advisory teams to transform how it delivers for clients and the firm. It is using the program to build customized GenAI tools and workflows for legal work and cybersecurity incident response.
DLA Piper developed proactive compliance as a service, a platform that combines traditional machine learning with proprietary small language models trained by domain-specific expert lawyers. It is hosted and run end-to-end by DLA Piper so clients can receive privileged, proactive risk flagging.
DLA Piper is building SAGE, a systematic approach to data-driven AI governance, to help organizations navigate overlapping and conflicting AI requirements. The framework uses human subject-matter experts and AI algorithms to break regulations into component parts and distill non-duplicative requirements.
Latham & Watkins says it uses Perplexity Enterprise to help the firm stay at the forefront of the legal industry. The page describes this as an internal AI capability investment through adoption of the tool, not a startup funding event.
The firm says it is committed to the responsible use of artificial intelligence and has adopted policies and implemented trainings to address the risks of improper AI use. It is also undertaking an investigation after an AI-related citation failure in a court filing.
Cleary Gottlieb is using its internal partner platform, Labora, to synthesize notes, pull out action items, and generate executive summaries from meetings. The transcript presents this as part of the firm’s internal AI-enabled workflow for improving efficiency and follow-through.
Showing 581–600 of 864 commitments.
Commitments are compiled by our agents from public announcements and reviewed by a human. Treat them as a directional read on how the industry is investing, not audited figures.