Newcode.ai has raised a Series A financing, bringing its total funding since inception to $20 million as the company continues building a configurable artificial intelligence platform for the legal industry.
The company disclosed the financing through an announcement backed by investors including OnDean Forward, The LegalTech Fund, Relativity and Antiportfolio Ventures.
Newcode did not disclose the amount raised specifically in the Series A round or identify a lead investor in the announcement.
The financing marks another major capital milestone for the company, bringing cumulative funding since its inception to $20 million and providing additional resources to develop its legal AI technology.
Newcode is building what it describes as a configurable AI harness designed specifically for law firms.
The platform is centered on the concept of “firm-owned intelligence,” reflecting the company’s view that legal organizations should be able to adopt advanced AI capabilities while retaining greater control over their proprietary knowledge, workflows, and institutional data.
That positioning addresses a growing concern across the legal industry as law firms experiment with generative AI.
Legal organizations often hold large amounts of sensitive, highly valuable information, including client documents, internal research, prior legal work, matter histories, and specialized expertise developed over many years.
As firms begin integrating AI into their operations, they are increasingly evaluating not only the capabilities of the underlying models but also how those systems interact with proprietary information.
Newcode seeks to provide law firms with a configurable layer that lets them build AI-enabled workflows around their own requirements, rather than relying exclusively on standardized applications.
The company’s approach is designed around the idea that every law firm has different practices, knowledge bases, client requirements and operating processes.
A configurable platform can potentially allow firms to adapt AI systems to those differences rather than forcing attorneys and staff to change established workflows around a generic product.
This flexibility may become increasingly important as legal AI moves beyond basic chat interfaces and supports more complex professional workflows.
Law firms are exploring generative AI for areas including legal research, document review, summarization, drafting, knowledge management, due diligence, and analysis of large collections of information.
These applications can significantly increase the amount of proprietary data interacting with AI systems.
For law firms, retaining control over that information is particularly important because they operate under strict confidentiality obligations and frequently handle highly sensitive client matters.
Newcode’s concept of firm-owned intelligence aims to address this issue by giving firms a framework to keep their internal expertise and information more directly under their control.
The company is effectively positioning institutional knowledge as an asset that law firms should be able to incorporate into AI systems without surrendering ownership or control of that intelligence.
A firm’s accumulated knowledge can include prior work product, templates, research, precedent, specialized legal analysis, and information about how attorneys handle particular types of matters.
Historically, much of that information has been difficult to organize and access consistently across large legal organizations.
Generative AI makes it possible to search, analyze, and apply those knowledge bases more easily across new matters.
However, doing so effectively requires systems that understand how a particular firm organizes information and how attorneys expect that information to be used.
Newcode’s configurable architecture is intended to give firms more flexibility in designing these systems around their own operating models.
This could allow individual firms to build AI workflows that reflect their practice areas, risk requirements and internal processes rather than relying on identical configurations used by competitors.
The approach also recognizes that law firms may not want to outsource all of their AI capabilities to a single external application.
As generative AI becomes more embedded in legal work, control of the technology layer itself could become strategically important.
Firms that build proprietary AI workflows around their own knowledge may be able to differentiate themselves through faster research, more efficient document analysis and improved access to institutional expertise.
This creates a growing market for infrastructure companies that help legal organizations build and manage AI systems rather than simply providing a single-purpose legal application.
Newcode is targeting that opportunity with a platform intended to act as an AI harness around a firm’s existing information and workflows.
The Series A financing gives the company additional capital as legal organizations continue moving from experimental AI deployments toward more structured implementation strategies.
Early adoption across the industry has often involved individual attorneys testing general-purpose generative AI tools or firms launching limited pilot programs.
The next phase is increasingly focused on integrating AI into repeatable workflows that can be governed, measured and deployed across larger organizations.
That shift creates additional technical requirements.
Law firms need systems that can connect with internal data, enforce permissions, support different practice groups, and provide reliable outputs within professional workflows.
They may also need greater visibility into how information is retrieved and used by AI systems.
A configurable platform could help firms meet those requirements while allowing them to modify workflows as AI models and legal practices evolve.
The rapidly changing nature of generative AI also creates an incentive for firms to avoid becoming overly dependent on a single underlying model or technology provider.
An AI harness can potentially provide a layer between law firms and the models they use, giving firms more flexibility to incorporate different AI technologies over time.
That could become increasingly valuable as new models enter the market and capabilities improve.
Rather than rebuilding an entire workflow every time the underlying AI technology changes, firms may be able to maintain internal processes while updating the models that support them.
Newcode’s focus on configurability therefore positions the company around both customization and technological flexibility.
Investor involvement with legal technology experience also adds strategic relevance to the financing.
The LegalTech Fund focuses on companies developing technologies for the legal industry, while Relativity is widely associated with technology used in legal data and discovery workflows.
Their backing places Newcode within a broader ecosystem of companies and investors focused on modernizing legal services through software and artificial intelligence.
OnDean Forward and Antiportfolio Ventures also participated in backing the company.
The financing gives Newcode additional resources to continue product development and expand its platform as competition intensifies across the legal AI market.
Legal technology has become one of the most active enterprise applications for generative AI because the profession involves large volumes of text, research, document analysis and knowledge-intensive work.
That makes many legal workflows well suited to language models.
At the same time, the industry’s confidentiality requirements and low tolerance for incorrect information create substantial barriers to adoption.
AI systems used in legal environments must be able to produce useful results while fitting within the professional and operational controls expected by firms and their clients.
This creates demand for platforms capable of combining AI capabilities with customization and organizational control.
Newcode is seeking to position itself within that layer of the market.
The company’s focus on firm-owned intelligence also reflects the possibility that institutional knowledge could become an increasingly important competitive asset as AI adoption expands.
If multiple law firms use similar underlying language models, differentiation may come from the proprietary knowledge and workflows layered on top of those models.
A firm with decades of specialized experience in a particular practice area could potentially use AI to make that knowledge more accessible throughout the organization.
This could improve how quickly attorneys locate relevant precedent, identify prior work product or understand how similar matters were handled previously.
It could also help firms preserve institutional knowledge when experienced lawyers leave or retire.
Instead of critical expertise remaining scattered across individual attorneys, documents and disconnected systems, AI-driven knowledge platforms could make more of that information accessible across the organization.
Newcode is attempting to provide the infrastructure that allows firms to create those systems while retaining ownership over the resulting intelligence.
The Series A round comes as law firms increasingly face pressure to determine how generative AI will affect both their internal operations and the economics of legal services.
AI could reduce the amount of time required for certain research, document review and drafting tasks, potentially changing how firms allocate work across attorneys and staff.
Clients may also increasingly expect law firms to use technology to deliver work more efficiently.
This creates both an opportunity and a strategic challenge for the industry.
Firms need to determine where AI can improve productivity without compromising accuracy, confidentiality or professional judgment.
Platforms that allow firms to configure AI around their own policies may therefore become more attractive than tools that provide less organizational control.
Newcode’s additional funding can support development of the technology needed to address these requirements.
The company can invest in product engineering, integrations, security, deployment capabilities and other infrastructure required to support large professional organizations.
Capital can also support customer acquisition as Newcode works with law firms evaluating enterprise-scale AI strategies.
Winning legal industry customers can involve lengthy sales and evaluation cycles because firms may need to test technology extensively before allowing it to interact with sensitive information.
Successful deployments can nevertheless create long-term relationships because AI platforms can become increasingly integrated with a firm’s data and workflows over time.
The legal AI market is still developing rapidly, with established legal technology providers, general-purpose AI companies and startups all competing to define the industry’s future technology stack.
Newcode is differentiating itself by focusing on a configurable infrastructure layer and the principle that law firms should own the intelligence created from their proprietary knowledge.
With total funding now reaching $20 million, the company has additional capital to pursue that strategy as law firms move toward more extensive adoption of generative AI.
The financing positions Newcode to continue developing its platform at a time when the legal industry is increasingly focused not simply on whether to use artificial intelligence, but on how to deploy it while maintaining control over the knowledge, data and workflows that differentiate individual firms.
KEY QUOTE:
“It’s a clear vote of confidence in the configurable AI harness we’re building for the legal industry and in the role Newcode will play in shaping the future of firm-owned intelligence.”
Newcode.ai Statement
