Terrill Dicki
Jul 17, 2026 16:44
Harvey extends its Authorized Agent Bench (LAB) to sort out M&A due diligence, aiming to streamline high-cost workflows in multi-trillion-dollar offers.
Harvey, the AI-focused authorized tech firm, has introduced an growth to its open-source Authorized Agent Bench (LAB) to sort out one of the demanding authorized workflows: M&A due diligence. This extension goals to guage AI brokers’ means to handle the intricate, high-stakes processes concerned in mergers and acquisitions, a market that noticed $4.8 trillion in exercise in 2025, based on Bain & Firm.
Due diligence is a cornerstone of M&A transactions, with prices sometimes starting from 1-4% of deal worth, equating to $50-$200 billion yearly. These bills usually stem from labor-intensive opinions of digital information rooms (VDRs), the place a whole bunch and even 1000’s of paperwork outlining an organization’s authorized and monetary historical past are scrutinized. Harvey’s LAB now introduces artificial VDR environments to check AI brokers’ means to navigate these complexities, providing a scalable, cost-efficient different to conventional human-led processes.
How LAB Tackles Due Diligence
LAB’s new diligence environments simulate the depth and breadth of real-world VDRs. For instance, one artificial case includes the hypothetical acquisition of Sentinel Cloud Safety by Helios Cloud Holdings, modeled after Google’s $32 billion acquisition of Wiz. These environments embody over 3,500 paperwork and 45 million tokens of context, requiring AI brokers to establish dangers starting from mental property disputes to tax liabilities. Brokers are evaluated on their means to draft diligence memoranda, with their output graded in opposition to a whole bunch of rubric standards.
This strategy addresses crucial challenges in AI dealing with of authorized workflows, comparable to managing huge portions of context, performing exhaustive opinions, and making use of judgment to prioritize dangers based mostly on materiality. In contrast to present AI fashions that depend on key phrase searches or selective doc studying, Harvey’s brokers purpose to comprehensively evaluation all information whereas sustaining the flexibility to synthesize complicated points throughout a number of information.
Why This Issues
M&A due diligence is not only about fact-finding; it’s about assessing the worth and dangers of a deal. Efficient diligence shapes deal phrases, together with pricing, warranties, and post-closing situations. By automating parts of this course of, AI brokers might drastically scale back prices and timelines, crucial components in a market the place offers usually hinge on speedy execution.
Harvey’s LAB stands aside from earlier benchmarks, comparable to LegalBench, by specializing in multi-step workflows moderately than remoted reasoning duties. This aligns with Harvey’s broader technique of growing agentic authorized techniques that transfer past easy Q&A functionalities to dealing with end-to-end authorized issues. The corporate’s Could 2026 rollout of purpose-built authorized brokers underscores this shift, aiming to allow regulation companies to measure AI’s financial affect and enhance ROI.
What’s Subsequent?
Harvey plans to launch analysis within the coming weeks detailing methods for coaching diligence brokers and their efficiency throughout numerous artificial VDRs. The corporate can be working to transition these benchmarks from analysis to manufacturing, providing regulation companies a data-safe atmosphere to coach and refine customized fashions. Extra LAB extensions are anticipated to cowl duties comparable to enterprise search and fund formation, broadening the scope of AI functions in authorized follow.
Because the authorized business more and more adopts AI-driven instruments, Harvey’s LAB might redefine how companies strategy high-cost, labor-intensive workflows like M&A due diligence. Whereas challenges stay in coaching brokers to deal with multi-document reasoning and nuanced judgment, the potential to streamline multi-billion-dollar transactions is drawing vital consideration from companies and tech suppliers alike.
Picture supply: Shutterstock
