D

DeepJudge

AI-powered legal document search and management

Field Marketing Manager

Full-Time
$150k - $170k+ Equity
Senior
Remote in Canada
RemoteMust work during Eastern Standard Time hours; travel across North America is required.
Growth & MarketingMarketing Generalist & Management

About the job

Requirements
  • Have 5+ years of experience in B2B field marketing, ideally within a high-growth B2B SaaS or technology environment.
  • Experience in legal technology is a strong plus.
  • Have owned field programs end-to-end and demonstrate how the work contributed to pipeline and business growth.
  • Have experience partnering closely with enterprise Sales teams and understand how field marketing supports complex buying journeys and strategic accounts.
  • Think holistically about field marketing and understand how events, account-based marketing, partners, customers, content, and digital activation work together.
  • Bring strong commercial judgment and prioritize opportunities based on audience relevance and potential business impact.
  • Develop creative experiences and programs that engage an enterprise audience.
  • Manage multiple programs, stakeholders, timelines, and budgets simultaneously.
  • Be comfortable developing a strategy, presenting an idea, briefing a team, negotiating with a vendor, and being onsite to ensure execution.
  • Use customer relationship management and marketing data to understand performance and inform decisions.
  • Be willing to travel across North America.
  • Be legally authorized to work in Canada.
Responsibilities
  • Develop a deep understanding of target personas, market trends, and the competitive landscape to inform campaign planning, messaging, and event positioning in the region.
  • Evolve DeepJudge’s North American field strategy and program calendar, aligned with go-to-market priorities and growth ambitions.
  • Partner with Sales to understand regional priorities, target accounts, active opportunities, and customer relationships, and translate these into impactful field programs.
  • Lead the company’s presence at conferences, developing strategy and activation for each opportunity from planning through execution and follow-up.
  • Create integrated programs around key market moments, connecting field activities with content, digital activation, customer advocacy, partner marketing, and sales outreach.
  • Develop DeepJudge-hosted experiences, including executive dinners, roundtables, customer gatherings, workshops, and other formats designed for the audience.
  • Build target and account-based programs for priority firms, prospects, and buying committees.
  • Incorporate customers into the field strategy through speaking opportunities, peer-to-peer conversations, customer-led experiences, and advocacy.
  • Collaborate with strategic partners on joint events, activations, and programs that extend reach and create value for shared audiences.
  • Work with Product Marketing, Integrated Growth, Content, Marketing Operations, Customer Success, and Sales to bring campaigns and company priorities to life in the North American market.
  • Own end-to-end program delivery, including budgets, agencies, venues, vendors, production, timelines, logistics, and onsite execution.
  • Develop repeatable formats and playbooks to scale successful field programs across markets, audiences, and moments throughout the year.
  • Track and evaluate performance across engagement, meetings, opportunities, pipeline contribution, and return on investment, using insights to evolve the approach.
  • Stay close to the market and identify new communities, formats, partnerships, and opportunities for DeepJudge to engage its audience.
  • Build and nurture relationships with key industry associations, publications, and strategic partners to strengthen visibility and credibility in the legal technology space and reach a broader audience.
Desired Qualifications
  • Experience in a high-growth B2B SaaS or technology environment is ideal.
  • Experience in legal technology is a strong plus.
  • Candidates located in or working during Eastern Standard Time hours are strongly preferred.

About the company

D

DeepJudge

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Website

DeepJudge.ai provides AI-powered knowledge search for law firms to manage and access large document libraries. It uses deep learning-based language models along with traditional enterprise search to understand legal language and context, delivering relevant results for natural language queries. The tool supports intuitive filtering and pinpointing key sections within documents, speeding up information retrieval. Compared with other providers, DeepJudge emphasizes security, privacy, and compliance through strict access rights and ethical walls, ensuring client data stays under firm control. Its goal is to help legal professionals find information more efficiently, improve client service, and streamline case work by converting vast document libraries into quickly searchable, well-organized knowledge.

Company Size

51-200

Company Stage

Series A

Total Funding

$53M

Headquarters

Zurich, Switzerland

Founded

2021

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Simplify Jobs

Simplify's Take

What believers are saying

  • November 2025 Series A raised $41.2 million from Felicis and Coatue.
  • 2026 traction includes Holland & Knight, Greenberg Traurig, CMS, and Homburger.
  • Revenue reportedly grew 500% in 2025, with another fivefold jump expected in 2026.

What critics are saying

  • Harvey, Thomson Reuters, and Legora can absorb DeepJudge's workflow advantage by 2027.
  • Centari, Clio, and Harvey intensify legal AI competition, squeezing pricing and retention.
  • If firms standardize on vendor-owned copilots, DeepJudge becomes a replaceable search layer.

What makes DeepJudge unique

  • Google Research founders built DeepJudge around legal-grade semantic search and governed permissions.
  • Agent Handoff Protocol links DeepJudge with Harvey, Thomson Reuters, and Legora.
  • DeepJudge indexes firm knowledge across matters, enabling one searchable institutional memory.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Competitive compensation
  • Flexible working arrangements
  • Remote Work Options
  • Conference Attendance Budget
  • Professional Development Budget
  • Wellness Program
  • Mental Health Support
  • Stock Options
  • 401(k) Retirement Plan
  • Family Planning Benefits

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

0%

2 year growth

2%
StartupTicker
Sep 10th, 2026
Corintis, DeepJudge and PAVE Space make up the podium of the Top100 Swiss Startup Award.

Corintis, DeepJudge and PAVE Space make up the podium of the Top100 Swiss Startup Award. 10.09.2026 The Top100 Swiss Startup Award again brought together Switzerland's most promising entrepreneurs, leading investors, industry executives, policymakers, and media representatives. Widely regarded as the "Oscars of Swiss Startups," the annual event celebrates the country's most innovative startups while highlighting Switzerland's position as the world's leading deep tech nation. The Top100 Swiss Startup Award is organized by Venturelab, in collaboration with its presenting partner UBS. Since its launch in 2011, the Top100 Swiss Startups has evolved from a startup ranking into one of Switzerland's most influential innovation platforms. Through the annual benchmark ranking, Award Night, Investor Summit, Investor Dinner, Satellite Events, and Startup Magazine, Top100 identifies and showcases the entrepreneurs and technologies shaping the country's future. To date, 677 startups have been recognized, collectively creating more than 27,000 jobs, raising CHF 19 billion in funding, producing 111 exits, 11 IPOs, and 11 unicorns. A celebration of entrepreneurship and innovation The Top100 has already been dubbed the "Oscar for startups" by the community. This image is inspired by successful entrepreneurs, former Top100 winners, and leading figures from the Swiss innovation ecosystem, presenting awards recognizing excellence to the most promising startups of the future. Yesterday, the award ceremony of the Top 100 Swiss Startup Award was held at Theater 11 in Oerlikon. The evening culminated in the unveiling of the Top100 Swiss Startup Ranking 2026, selected by a jury of 100 leading startup investors and experts. The Top 10 are clearly dominated by hardware startups: * Top100 Winner 2026: Corintis SA, Lausanne, Engineering * Top100 Silver Award 2026: DeepJudge AG, Zurich, ICT * Top100 Bronze Award 2026: PAVE Space SA, Villeneuve VD, Engineering * Top100 Rank 4 2026: Voltiris SA, Epalinges VD, Cleantech * Top100 Rank 5 2026: Seprify SA, Marly FR, Engineering * Top100 Rank 6 2026: Flexion Robotics AG, Zürich, Robotics * Top100 Rank 7 2026: DPhi Space SA, Ecublens SA, Engineering * Top100 Rank 8 2026: BTRY AG, Dübendorf ZH, Engineering * Top100 Rank 9 2026: mimic robotics AG, Zürich, Robotics * Top100 Rank 10 2026: Tethys Robotics AG, Zürich, Robotics This year had also 6 special awards - 4 for companies in this year's Top 100 and 2 for all company which have been selected since 2011: * Best newcomer in the Top100 Swiss Startup Ranking 2026: Dexterous Endoscopes * Top100 best-ranked biotech startup 2026: Aukera Therapeutics * Top100 best-ranked cleantech startup 2026: Voltiris * Top100 best-ranked robotics startup 2026: Flexion Robotics * Largest financing round of all Top 100 startups closed in 2026: Kandou Bus SA * Largest exit of all Top 100 startups in 2026: Memo Therapeutics AG Marc Nyffenegger, Head Corporate & Real Estate Banking UBS Switzerland says: "UBS is proud to be a partner of the TOP100 Swiss Startup Award and to support entrepreneurs shaping Switzerland's economy of tomorrow with vision and determination. By backing ambitious founders, we invest in innovation, sustainable growth and Switzerland's long-term competitiveness as a leading innovation hub." Learning from those who have already built global champions This year's ranking reflects the continued strength of Switzerland's startup ecosystem, particularly in sectors such as artificial intelligence, robotics, biotechnology, climate technology, engineering, and space. Switzerland currently leads all major innovation nations in the share of venture capital invested in deep tech companies, underlining the country's unique ability to transform world-class research into globally relevant businesses. "The founders featured in this year's Top100 are solving some of the world's most important challenges. Their ambition, combined with Switzerland's unique strengths in research, engineering, and entrepreneurship, is helping build the next generation of global champions," says Stefan Steiner, Program Director of Top100. A special highlight of the evening was the fire side chat with Patrick Hertzog, founder of unicorn Nexthink. Drawing on his experience building one of Switzerland's most successful global technology companies, he shared lessons learned on thinking big, taking risks, staying focused on solving problems, and building companies for the long term. He expressed his conviction that it is, above all, cultural norms that are holding back the growth of Swiss start-ups. "We fear the wrong things - namely, failure or losing money - and we love the wrong things - namely, modesty and the good life," explained the entrepreneur. "Switzerland cannot afford to stand still," says Jordi Montserrat, Managing Partner at Venturelab. "Staying in the race today, however, also means accelerating our own capacity to fund Swiss startups, attracting Swiss and international capital, with Swiss decision-making. Initiatives such as the Deep Tech Nation AWI Fund and the Swiss Champions Fund illustrate this push to fund our champions ourselves." The full Top100 Swiss Startup Ranking 2026 is available at www.top100startups.swiss. The brand-new Swiss startup magazine 2026 The Swiss startup magazine showcases the annual Top100 ranking, highlights the trends shaping Swiss innovation, and shares the country's most promising startup stories with a global audience in five languages: www.top100startups.swiss/magazines 0Comments.

Venturelab
Sep 9th, 2026
DeepJudge ranks second at the Top100 Swiss Startup Award 2026.

DeepJudge ranks second at the Top100 Swiss Startup Award 2026. 09.09.2026 21:30 Rita Longobardi Last year's third-place startup is this year's runner-up. Founded in 2021 by Paulina Grnarova, Kevin Roth, and Yannic Kilcher, the AI startup is rethinking how lawyers access and use their internal knowledge, turning vast data and documents into value across the business. For the 16th time, a jury of 100 investors and technology experts has selected the 100 most promising startups in Switzerland. DeepJudge climbs to second place at the Top100 Swiss Startup Award 2026, after ranking third last year. Founded in 2021, the company now employs around 100 people and is redefining legal efficiency. In its most recent financing round, in November 2025, DeepJudge raised USD 41.2 million from national and international investors. Part of this funding will go into the further development of its core product, an AI-based platform for lawyers and legal departments that makes internal legal knowledge accessible and usable. The rest of the money is being channelled into marketing. DeepJudge founders Paulina Grnarova, Yannic Kilcher, and Kevin Roth are stepping up their efforts outside the DACH region, particularly in the US and the UK. The US team comprises 12 members and has secured clients such as law firms Holland & Knight, Cozen O'Connor, ArentFox Schiff, Greenberg Traurig, and Vorys, all renowned names in the world of international commercial law, and some with well over 1,000 lawyers on their payroll. In spring 2026, DeepJudge was voted the 'Most Recommended Legal AI Vendor' in the US for the second consecutive year. "Our US clients in particular appreciate that we all have a technical background," says Grnarova. She and Kilcher worked at Google Research in Zurich during their doctoral studies at the Institute for Machine Learning at ETH Zurich. It was at Google that they first came into contact with the world of legal practice. The two started in 2021 by developing a search engine that combines keyword search with a semantic search mechanism. The AI-based system understands search queries in context and delivers the most relevant results. Past court rulings, correspondence with courts and opposing parties, expert opinions and studies, and internal meeting minutes form a company's memory. Previously, this wealth of data had to be accessed manually. With DeepJudge's SaaS platform, the company archive is available at the touch of a button. "For the customer," explains Grnarova, "this results in significant productivity gains." As a complement to its search engine, DeepJudge has launched the DeepJudge Agent. "We use large language models for this," explains Grnarova. The digital assistant independently drafts legal documents based on transcripts, judgments, and expert opinions. Since generative AI relies on the client's internal knowledge to generate its responses and documents, the quality and consistency of legal work are enhanced. Large law firms and legal departments in corporates in particular benefit from this.The global legaltech market is worth billions; according to estimates, revenues will soon reach well over USD 100 billion. Competition is fierce, but Grnarova is confident that DeepJudge will achieve its ambitious goal: "We want to become the world's leading AI platform for lawyers." The numbers speak for themselves: DeepJudge is in a phase of hypergrowth. In 2025, revenue increased by 500%; this year, it is expected to increase fivefold again. Jordi Montserrat and Kevin Roth Get in touch. You have questions about Top100 or would like to exchange ideas with Top100? Feel free to contact me.

Legal Geek
Sep 1st, 2026
Identity crises?

Identity crises? The rumour that AI companies are bulk buying books and destroying them so that their content can be scanned in to train their AI models has been verified twice: by court documents in California and by journalists at 404 Media who hid an Airtag in a rare book sold to a bulk purchaser. The book was tracked to an Amazon facility near Las Vegas, where books are dismantled, scanned and discarded. Amazon confirmed that it uses older books to develop and improve its products, i.e. for AI training, not for reading. Following 404 Media's report, book database ISBNdb took down the web page which was advertising a printed books sourcing service for LLM dataset needs. But booksellers worldwide are still seeing suspiciously large orders for second-hand books. As Kathryn James explained in The Guardian, this is to get around the permissions needed to reuse digital content and to provide clean training data from books published before the launch of ChatGPT in 2022 which are less likely to contain AI-generated material. Source code Ironically, given that the scale of Anthropic's 'Project Panama' which involved similar destructive scanning of pre-2022 books to train Claude only emerged from unsealed court filings in relation to the northern California district court copyright case Bartz v Anthropic which was finalised in late July, August saw the introduction of Claude Text Watermarking. How does this work? Claude embeds statistical text watermarks during autoregressive token generation so that the watermark is deeply embedded in the text and doesn't disappear if you copy and paste. However, it is relatively straightforward to get around watermarked content: you can run the text through another process, like translation or summarisation, or if it's not a massive document, you can simply retype it! But obviously there are risks involved, especially in legal, where there have been high profile instances of lawyers and litigants using unedited AI content. Legal-specific models One solution is a legal specific GenAI model. Last week Harvey released a research preview of Harvey Tenet, which is built on Chinese open-weight model Kimi K3 and post-trained on legal data and practice. As Ryan McDonough, head of software engineering at KPMG Law explained on LinkedIn "The model gets matter documents, tools and realistic legal tasks with its work assessed against detailed expert rubrics... to encode how legal work should be performed, not simply what the law says." Playbooks have been around for a while, and this new model usefully incorporates a playbook for legal work. McDonough also highlighted Harvey's intelligence per token benchmark. Thomson Reuters launched Thomson which is based on Chinese OSS model Qwen and trained on its own data, making CoCounsel's Tabular Analysis more cost-effective. Mike OSS founder Will Chen commented on LinkedIn, "The point is not about having the best model in the market that is competitive with the frontier but a good enough model for some legal workflows. The reality is that it's more of a cost control measure." He continued: "I'm sure Thomson is going to be more than enough for summarisation and will help TR save some money on tokens," highlighting the significance of large legal AI companies shifting to Chinese OSS models. And turning to frontier models, Google has joined Microsoft, Anthropic, OpenAI etc and launched Gemini Enterprise for Legal, recruiting Tony Ensinger from DeepJudge to head its legal AI division. Gemini Enterprise for Legal includes purpose-built skills, partner agents and model context protocol (MCP) integration with legal AI platforms, including Harvey, Legora, and Thomson Reuters. Digital twins and avatars Twin1 AI, a start-up building digital AI twins for lawyers, helps firms preserve lawyers' tacit knowledge and boost efficiency by automating routine communications in a personalised way. Lawyers can address the risk of oversharing (which is a concern given GenAI's tendency to be verbose) by managing their digital twin's privacy/permissions/review settings across multiple channels. While digital twins have been around for a while, Twin1 takes the concept further with deep personalisation and (the option of) setting up a Twin Network where digital twins can communicate and coordinate with each other and lawyers across the firm's teams and systems. In education, the AI debate is increasingly polarised. While some universities are strongly against students using AI, with a few banning its use altogether, others are using it to create and deliver personalised e-learning programmes. Harvard has taken this in a new direction, introducing AI avatar tutorials. TechCrunch reported that Harvard's $699 HBS Foundry startup bootcamp follows up live sessions with instructors with individual feedback on practice pitches and board meetings from AI avatars of its instructors created by HeyGen. This is unusual as educational institutions tend to opt for AI to deliver group/general sessions/e-learning on demand and human tutors to provide personalised feedback and support. While digital twins and avatars save time, they are of course replacing human interaction, which doesn't matter when they are answering repetitive questions or managing routine tasks, but they also risk limiting the personal connection that often underpins business and client relationships. August announcements included more partnerships and MCP integrations between legal AI vendors. Given last month's headlines about rogue AI agents, there are surely questions around whether multiple integrations, semi-autonomous agents, including digital twins and avatars, etc make it easier for sophisticated AI models to find pathways into law firm systems and client data. Planning for an AI future Bill Gates highlighted the potential for AI cyberattacks when he wrote last week that the choices Legal Geek make now are critical to ensure that AI is a force for good. He urged governments and organisations to prepare now for the AI era. For example on AI replacing jobs, Gates recommends designating human-reserved jobs and taxing robots and AI tokens because employing people carries tax obligations while technology is treated as a business investment/expense. "The tax system nudges you toward replacing people with machines," he wrote. In anticipation of a legal AI future, both Harvey and Legora are in talks to raise significant additional funding. Automating AI slop! Finally, on 30 July, LinkedIn added a 'seems like AI slop' button where you can notify the platform if you suspect posts have been AI generated (which is interesting as it previously offered AI assistance to 'enhance your post'). Meanwhile, one (not entirely serious) website offers a quick way to add more AI slop to a platform whose brand has been significantly contaminated by GenAI. The viral LinkedIn CringeBot 3000 helps you "become a thought leader in seconds"!

Australian News Journal
Aug 18th, 2026
DeepJudge and Legora partner to bring institutional intelligence to collaborative legal work.

DeepJudge and Legora partner to bring institutional intelligence to collaborative legal work. Bidirectional integration brings institutional knowledge to collaborative legal workflows. ZURICH, SWITZERLAND, August 18, 2026 / EINPresswire.com / - DeepJudge, the institutional intelligence platform for law, and Legora, the agentic operating system for legal work, today announced a partnership that brings an organization's knowledge, precedent, and expertise to the AI-powered workflows where legal work happens. New work product in Legora is carried back into DeepJudge. Law firms and in-house legal teams have decades of precedent, work product, drafting standards, and institutional judgment that reflect how they practice. That accumulated knowledge is unique to each organization and becomes increasingly important as AI takes on a greater role in legal work. DeepJudge turns a legal organization's collective experience into governed institutional intelligence that lawyers and AI agents can apply to new work. This integration brings that intelligence to Legora's users, and creates a continuous cycle between what an organization knows and the work it produces. - From knowledge to work product: Lawyers can search and analyze their organization's collective knowledge in DeepJudge and send the selected documents directly to Legora for negotiation, review, and drafting, from either the Legora or DeepJudge platforms. - Intelligence inside agentic workflows: Legora automatically retrieves relevant precedent and prior work through DeepJudge. Lawyers can carry the context of their task into DeepJudge whenever they want to search deeper through DeepJudge's recently announced Agent Handoff Protocol, which preserves context as work moves between AI environments. - One search across everything: At the organization's direction, DeepJudge can index work created in Legora and documents stored in Legora projects, alongside their other proprietary knowledge sources, to create a single, unified enterprise search. For organizations already using DeepJudge, that means the knowledge they have accumulated can be easily accessed and applied to their work in Legora: the same governed index and the same permissions, now powering agentic legal research, drafting, review, due diligence, and more. Legora's outputs will cite the source document across all these sources, enabling users to easily verify their work. "Every legal organization now has access to powerful AI. What they don't share is the judgment they've built through years of matters, negotiations, and decisions," said Paulina Grnarova, Co-Founder and CEO of DeepJudge. "That institutional intelligence is their advantage. Our partnership with Legora puts it directly into the flow of legal work, so lawyers and AI agents can draw on relevant knowledge from the entirety of the organization's own experience when it matters." As legal work continues in Legora, new work product can flow back into DeepJudge, becoming part of the institutional intelligence available for future matters. Past work informs what comes next, and new work adds to the organization's experience, creating a continuously richer source of intelligence for lawyers and AI agents to draw on. "I have always said that the right context is what makes legal AI genuinely useful," said Andrei Salajan, Director of Legal Tech & Innovation at Schoenherr. "DeepJudge enables our teams to access the full depth of our institutional knowledge, and that is what lets us deliver exceptional results for our clients. This integration brings our lawyers' judgement and precedent directly into review, drafting and analysis in Legora. We are working at the frontier of this shift, where agents take on far bigger tasks across longer context. That makes context quality the constraint. The know-how we encode and connect into those systems is the layer no one else can replicate." "As AI takes on more of legal work, context becomes increasingly critical, and DeepJudge makes a firm's institutional judgment available at scale," said Max Junestrand, Co-Founder and CEO of Legora. "Bringing that intelligence into Legora means every draft, review, and analysis can draw on what is unique to that firm: the precedent, experience, and judgment it has built over years of practice." Together, DeepJudge and Legora are bringing institutional intelligence into the collaborative flow of legal work, so lawyers and AI agents can build on the organization's expertise - and on each other's work. About DeepJudge DeepJudge is the core AI platform for legal professionals to harness their institutional intelligence. DeepJudge transforms institutional knowledge into structured, governed intelligence that enables legal teams to find and analyze information, uncover insights across matters, and apply what their organization already knows to new work. DeepJudge is trusted by leading law firms and in-house legal teams globally, including Holland & Knight, Greenberg Traurig, ArentFox Schiff, Cozen O'Connor, CMS, and Homburger, among others. To learn more, visit www.deepjudge.ai. About Legora Legora is the agentic operating system for legal work, supporting lawyers in research, review, and drafting across complex matters. It is used by more than 100,000 legal professionals at more than 1,500 leading law firms and in-house legal teams across over 50 markets. Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. Australian News Journal do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.

Australian News Journal
Aug 13th, 2026
DeepJudge introduces Agent Handoff Protocol, with Harvey and Thomson Reuters among first to adopt.

DeepJudge introduces Agent Handoff Protocol, with Harvey and Thomson Reuters among first to adopt. Open protocol enables users to move between AI platforms without starting fresh, carrying the context needed to continue their work. ZURICH, SWITZERLAND, August 13, 2026 / EINPresswire.com / - DeepJudge, the institutional intelligence platform for legal AI, today introduced Agent Handoff Protocol, an open protocol designed to enable context continuity across AI systems. Increasingly, people are moving between different AI products and experiences to complete their work. While existing protocols like the Model Context Protocol (MCP) enable systems to exchange information and perform specific actions, the broader context required to continue a task - including objectives, supporting materials, conversation history, and prior work - is often lost in the process. The Agent Handoff Protocol addresses this challenge by enabling AI platforms to transfer the user and the context needed to continue work from one system to another. Rather than rebuilding context each time they switch products, users can move between AI experiences while preserving the information and progress that led to the current point. For example, a lawyer researching a precedent question in DeepJudge can move into Harvey with the relevant context already in place, allowing the work to continue without re-uploading materials, recreating prompts, or rebuilding prior analysis. "No single AI experience will be the right one for every task," said Yannic Kilcher, CTO and Co-Founder of DeepJudge. "People should be able to use the AI tool that's best for what they need to do and take their context with them. That is the experience we built Agent Handoff Protocol to enable." DeepJudge developed Agent Handoff Protocol and is releasing it as an open protocol. Harvey, the leading legal operating system for legal and professional services, has announced an integration implementing Agent Handoff Protocol that is entering beta this month. Thomson Reuters is also supporting Agent Handoff Protocol, with additional details on their implementation and timing to follow in future announcements. Joel Hron, Chief Technology Officer of Thomson Reuters said, "The future of professional AI will not be defined by a single model, agent or application. Professionals will increasingly work across specialized AI experiences, and those systems need to work together without sacrificing the context, trust, and expertise required for high-stakes work. Open standards like Agent Handoff Protocol can help enable that interoperability, which is why Thomson Reuters is excited to support this effort and help shape what comes next." "The most capable legal workflows will draw on more than one specialized system. Agent Handoff Protocol lets a user move from Harvey into a partner's product and back without losing the thread of their work, while leveraging both products to their full potential. We're glad to be among the first to implement it," said Siva Gurumurthy, Chief Technology Officer at Harvey. As the institutional intelligence platform for legal work, DeepJudge is positioned to offer Agent Handoff Protocol as a shared resource rather than a proprietary advantage. The company invites other AI providers, specialist platforms, and law firms building AI solutions in-house to adopt the protocol and help shape its ongoing development. The Agent Handoff Protocol specification and implementation resources are available on GitHub. About DeepJudge DeepJudge is the core AI platform for legal professionals to harness their institutional intelligence. DeepJudge transforms institutional knowledge into structured, governed intelligence that enables legal teams to find and analyze information, uncover insights across matters, and apply what their organization already knows to new work. DeepJudge is trusted by leading law firms and in-house legal teams globally, including Holland & Knight, Cozen O'Connor, ArentFox Schiff, CMS, and Homburger, among others. To learn more, visit www.deepjudge.ai. Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. Australian News Journal do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.