Terrill Dicki
Jul 17, 2026 16:44
Harvey extends its Authorized Agent Bench (LAB) to deal with 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 enlargement to its open-source Authorized Agent Bench (LAB) to deal with one of the vital demanding authorized workflows: M&A due diligence. This extension goals to guage AI brokers’ capacity to handle the intricate, high-stakes processes concerned in mergers and acquisitions, a market that noticed $4.8 trillion in exercise in 2025, in accordance with Bain & Firm.
Due diligence is a cornerstone of M&A transactions, with prices usually starting from 1-4% of deal worth, equating to $50-$200 billion yearly. These bills typically stem from labor-intensive evaluations of digital information rooms (VDRs), the place lots of 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’ capacity to navigate these complexities, providing a scalable, cost-efficient various 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 entails 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 determine dangers starting from mental property disputes to tax liabilities. Brokers are evaluated on their capacity to draft diligence memoranda, with their output graded towards lots of of rubric standards.
This strategy addresses important challenges in AI dealing with of authorized workflows, resembling managing huge portions of context, performing exhaustive evaluations, and making use of judgment to prioritize dangers primarily based on materiality. Not like current AI fashions that depend on key phrase searches or selective doc studying, Harvey’s brokers goal to comprehensively evaluation all information whereas sustaining the flexibility to synthesize advanced 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 circumstances. By automating parts of this course of, AI brokers may drastically scale back prices and timelines, important elements in a market the place offers typically hinge on speedy execution.
Harvey’s LAB stands aside from earlier benchmarks, resembling LegalBench, by specializing in multi-step workflows moderately than remoted reasoning duties. This aligns with Harvey’s broader technique of creating agentic authorized methods that transfer past easy Q&A functionalities to dealing with end-to-end authorized issues. The corporate’s Might 2026 rollout of purpose-built authorized brokers underscores this shift, aiming to allow legislation corporations 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 various artificial VDRs. The corporate can also be working to transition these benchmarks from analysis to manufacturing, providing legislation corporations a data-safe atmosphere to coach and refine customized fashions. Extra LAB extensions are anticipated to cowl duties resembling enterprise search and fund formation, broadening the scope of AI functions in authorized apply.
Because the authorized trade more and more adopts AI-driven instruments, Harvey’s LAB may redefine how corporations 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 important consideration from corporations and tech suppliers alike.
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