Transformative Success: NetDocuments’ PatternBuilder MAX Reshaping Legal AI Landscape

  • NetDocuments’ PatternBuilder MAX AI solution experiences unparalleled demand and adoption, surpassing expectations by 10x.
  • Over 13,000 users, including law firms, corporate legal departments, and government agencies across the globe, now leverage PatternBuilder MAX.
  • Responsible GenAI strategy integration within the NetDocuments platform ensures flexibility, control, and robust security measures.
  • Collaboration with Microsoft Azure OpenAI secures exemptions for responsible AI usage policies.
  • PatternBuilder MAX empowers users to address common legal challenges such as document summarization, drafting, and matter timeline creation.
  • Recognition at 2024 Legalweek Leaders in Tech Awards for Best Use of Artificial Intelligence.
  • Positive feedback from customers underscores the platform’s relevance, roadmap strategy, and innovation delivery.
  • User adoption metrics highlight the significant impact of PatternBuilder MAX in streamlining workflows and enhancing productivity.
  • Testimonials from legal professionals emphasize the transformative potential of PatternBuilder MAX in diverse legal contexts.

Main AI News:

NetDocuments, the premier cloud platform trusted by legal professionals worldwide, has reported unprecedented demand for its PatternBuilder MAX AI and automation features, marking its AI solution as the most successful product launch in its history, surpassing expectations by a factor of 10. Since its launch in October, the adoption of NetDocuments’ PatternBuilder MAX has soared, now serving approximately 13,000 users across law firms, corporate legal departments, and government agencies in the US, Canada, EMEA, and APAC regions.

Businesses ranging from global enterprises to smaller firms with fewer than 15 users are embracing a responsible GenAI strategy, integrating it seamlessly within the NetDocuments platform to ensure adaptability and control, all reinforced by cutting-edge security measures and compliance standards. NetDocuments collaborated closely with Microsoft Azure OpenAI from the outset, securing exemptions to its abuse monitoring policy to ensure customers can harness AI capabilities responsibly.

PatternBuilder MAX is empowering customers to address common challenges such as document summarization, drafting, extraction, matter timeline creation, and contract playbook management. This is made possible without compromising on the ability to customize, rapidly build, test, iterate, and deploy bespoke applications tailored to the specific needs of their firms or departments.

In January, NetDocuments received industry recognition at the 2024 Legalweek Leaders in Tech Awards, winning the accolade for Best Use of Artificial Intelligence in Contract, Document & Project Management.

Dan Hauck, Chief Product Officer at NetDocuments, emphasized the overwhelmingly positive feedback from customers regarding the platform’s AI integration, roadmap strategy, and innovative approach. Customers appreciate how NetDocuments’ AI initiatives enhance their ability to deliver superior work products and achieve better business outcomes for their clients.

User adoption serves as a crucial indicator of the initial success of any new technology, and PatternBuilder MAX stands out with over 500 custom apps developed by customers and more than 18,000 prompts processed through the generative AI solution. Notably, one law firm user created a bespoke PatternBuilder MAX app, executing it over 60 times within five weeks, resulting in the generation of over 30,000 pages of text through AI drafting capabilities in just one week.

Judi Flournoy, CIO at Kelley Drye & Warren, highlighted the thorough evaluation conducted by their AI Task Force, affirming PatternBuilder MAX’s suitability for multiple projects after attending several demonstrations.

For Lewis Silkin, a leading UK law firm, collaboration with NetDocuments and PatternBuilder MAX has revolutionized their approach to intellectual property infringement investigations. By automating the creation of cease-and-desist letters, the firm has significantly reduced the time and effort previously required for analysis and response drafting, benefiting both the firm and its clients.

Matthias Birkholz, Partner and Co-Founder of German firm lindenpartners, praised the efficiency gains achieved through PatternBuilder MAX, emphasizing its role in streamlining document drafting processes and empowering attorneys to tackle complex workflows effectively.

Richard Allen, Managing Director at Lockings Solicitors, described PatternBuilder MAX as an indispensable tool for AI-driven workflows, highlighting NetDocuments’ commitment to developing IT solutions tailored to their business needs.

Charly Duffy, Partner at Coghlan Duffy, expressed excitement about the potential of PatternBuilder MAX to enhance both client-facing and internal productivity tools, foreseeing opportunities to scale expertise and expand their client base with innovative AI-driven products.

PatternBuilder’s versatility has enabled firms to automate various workstreams, reducing costs and enhancing quality assurance measures. Ms. Duffy noted that their team has embraced a proactive approach to innovation, leveraging PatternBuilder to identify efficiencies and create new revenue streams, ultimately aligning with the firm’s strategic objectives to deliver exceptional client experiences and maximize team productivity.

Conclusion:

NetDocuments’ PatternBuilder MAX is reshaping the legal AI landscape, heralding a new era of efficiency, innovation, and client-centric service delivery in the legal industry. The unprecedented demand and adoption signify a paradigm shift towards responsible AI integration, where firms prioritize flexibility, control, and security while harnessing the transformative power of AI to drive business outcomes. This success underscores the increasing importance of AI solutions tailored to the unique needs of legal professionals, signaling a lucrative market opportunity for AI-driven technologies in the legal sector.

Source