Open Arsenal

Where contracts meet jurisdictional intelligence.

Lexara is a jurisdictional intelligence and compliance structuring system designed to translate complex legal frameworks into structured, executable compensation models. It analyzes state and federal regulations governing referral fees, marketing arrangements, brokerage compensation, and lead generation systems, then converts those rules into clear, structured outputs that can be used to design compliant business workflows. The goal is to reduce legal ambiguity by turning fragmented legal standards into consistent, machine-readable logic.

At its core, Lexara evaluates how money flows between entities such as builders, licensed brokers, influencers, and marketing platforms. It identifies the role of each participant and determines how compensation structures should be classified under applicable jurisdictional rules. This includes distinguishing between advertising fees, legitimate referral compensation, brokerage commissions, and high-risk arrangements that may resemble improper kickback structures or unlicensed brokerage activity. Each structure is analyzed not only for classification but also for regulatory exposure and enforcement risk.

Lexara’s system is built around a layered compliance architecture that combines a jurisdictional rule engine, federal overlay analysis, and a risk scoring system. State-specific regulations are mapped and continuously updated, while federal frameworks such as RESPA and FTC endorsement guidelines are applied universally. These layers work together to evaluate whether a compensation model is permissible, restricted, or prohibited within a given jurisdiction, and to explain why those determinations are made.

In addition to legal analysis, Lexara includes a smart contract structuring module that converts compliant compensation models into execution-ready contract templates. These templates enforce payment rules, define permissible triggers such as leads or engagements, and restrict prohibited structures like transaction-based commissions where disallowed. An audit and explainability layer ensures that every decision can be traced back to specific rule logic, creating transparency for developers, builders, and compliance teams implementing the system in real-world applications.