Arctera partners with Arca on governed legal AI workflows

Arctera has partnered with legal AI company Arca, linking Arca's AI agents with Arctera AI Converge.

The integration is intended to let legal and compliance teams use AI on enterprise communications, files and historical records already held within governed systems. Instead of moving information into separate tools, it is designed to keep work within existing access, retention and security controls.

That addresses a common problem for in-house legal and compliance teams, which often have to assemble records from multiple systems for investigations, eDiscovery, surveillance and contract review. In many organisations, relevant material is spread across archives, communication platforms and file repositories, making it harder to establish context while preserving oversight.

Built on the Model Context Protocol, the link allows legal teams to search, investigate and analyse records through legal AI workflows while keeping existing corporate permissions and policies in place. AI Converge is a feature within Arctera's Unified Platform.

Arca focuses on AI tools for institutional legal work, and the partnership gives its users access to information managed through Arctera's compliance and governance systems. The goal is to make legal AI outputs more useful by grounding them in enterprise records already covered by company governance frameworks.

Governed records

Arctera emerged from Veritas Technologies and now operates as a business unit of Cloud Software Group. Its platform captures data from more than 130 content sources and includes more than 280 AI policies aimed at compliance teams dealing with changing regulation and internal controls.

For legal departments, the issue is not simply finding documents but ensuring records used in AI-assisted review remain tied to auditable systems. Businesses have become more willing to use AI for legal research and document analysis, but concerns remain about fragmented data, inconsistent permissions and the risk of losing the chain of governance when information is exported into separate environments.

Soniya Bopache highlighted that concern in comments on the partnership. "Legal AI is only as effective as the enterprise context behind it. When data is siloed and fragmented across disconnected systems, context is difficult to find, trust and apply with confidence," said Soniya Bopache, Senior Vice President & General Manager, Arctera.

She added: "As organizations focus on operationalizing AI within existing legal and compliance environments, this collaboration brings enterprise context, governance and defensibility directly into Arca's AI workflows so organizations can apply AI within the controls and oversight they already rely on and trust," said Bopache.

Legal workflow

The deal reflects a broader shift in enterprise software, as AI vendors try to connect models and agents more directly to internal systems rather than rely on isolated prompts and manually uploaded documents. For legal and compliance teams, the appeal is reducing repetitive document gathering while retaining oversight of how records are accessed and used.

Arca said its platform is aimed at deploying legal and compliance agents at scale, with a focus on the specific demands of enterprise legal work. The company was founded through the OpenAI accelerator and serves customers ranging from technology businesses to larger enterprises.

Shivam Patel, one of Arca's founders, said access to the right body of information remains central to legal AI performance. "AI is most effective when it operates against the right enterprise context," said Shivam Patel, Chief Executive Officer & Co-Founder, Arca.

He added: "We are thrilled to partner with Arctera, and together we are bringing legal AI directly into enterprise workflows in a secure, practical, and operationally ready way," said Patel.

The partnership underlines how legal technology suppliers are increasingly competing on data access and governance as much as on model quality, especially for corporate customers that want AI tools to work within established compliance frameworks rather than outside them.