Beyond the Buy: Tech Governance, Workflows, and Accountability for Legal Marketing & Business Development

Key Takeaways:

  • To gain executive buy-in: lead with problems and goals, not with software solutions
  • Focus your software purchasing process and ongoing usage on operational efficiency and business development results 
  • Your data quality and architecture are the foundation for software outcomes. Consider optimizing your data warehouse, data lake, or data lakehouse before kicking off tech initiatives 
  • Document all decisions and establish a process for firmwide institutional knowledge sharing
  • The most common obstacles to successful software adoption are people, process, and firm culture

Legal marketing and business development teams are facing a critical paradigm shift: moving away from evaluating which software is inherently "best", toward maximizing the effectiveness of the data within those tools to drive business development outcomes.

Building upon the
RubyLaw Legal Marketing Technology Ecosystem Study conducted in partnership with the Legal Marketing Association (LMA), RubyLaw hosted an interactive webinar titled "Beyond the Buy: Tech Governance, Workflows, and Accountability." Moderated by RubyLaw’s Scott Rubenstein, the panel featured Julie Chodos (Axinn), Jacqueline Madarang (Bracewell), and Rachel Shields Williams (2026 International LMA President). 

The discussion focused on how modern firms can successfully transform their software stacks from stagnant systems of record into dynamic, high-performing systems of action for business development.

How can you secure executive buy-in for software at Law Firms?

Securing partnership alignment is paramount when deploying sophisticated technology, given the substantial financial commitment required. Julie Chodos highlighted a foundational principle of change management: never attempt to solve a problem that the partnership does not yet perceive itself to have.

At Axinn, Julie achieved seamless buy-in by anchoring technology investments directly to a universally acknowledged challenge: brand awareness. In tying brand awareness challenges to revenue generation and establishing a consensus on the business problem, the subsequent brand rollout for the website and other digital channels became a collaborative effort.

Securing executive buy-in was key, but maintaining it required consistent communication and shared ownership of outcomes throughout the process: 

"We kept communicating very often and showing what we meant by those things with practice leaders, department chairs, and others so that people felt consulted... It was something we shared and co-created together."

Julie Chodos, Chief Marketing & Business Development Officer, Axinn

While executive buy-in opens the door, what comes next is the long-term challenge of enforcing data quality and shared governance across the firm.

What’s The Best Way To Enforce Data Quality and Shared Governance at Law Firms?

Even the most sophisticated software is useless without rigorous, clean data. A recurring point of failure occurs when law firm partners approve software purchases, but lose faith post-launch due to bad results from inaccurate data.

Jacqueline Madarang illustrated this using CRM and Enterprise Relationship Management (ERM) platforms. When relationship scores fail to reflect reality because underlying data inputs are neglected, attorney trust breaks down: 

"The partners don't trust [the CRM] because the relationship scores don't actually reflect reality. The input feeding those scores is sometimes incomplete or inconsistently maintained."

Jacqueline Madarang, Director, Marketing Technology & Operations, Bracewell

Jacqueline then went on to note how business development teams then follow suit, and revert to manual workarounds: exporting data into spreadsheets, emailing attachments, and creating silos. At that point, an expensive intelligence tool is reduced to a glorified digital Rolodex.

To prevent this breakdown, firms should establish a governance model built upon shared accountability:

  • The Business Unit owns how data is actively utilized and defines the strategic outcomes it supports.
  • Information Technology (IT) owns the underlying technical infrastructure enabling operations.
  • Establishing a Data Quality Role within the business can bridge the gap between IT and marketing to handle ongoing validation, taxonomy mapping, and maintenance.

Standardizing foundational taxonomies is critical. A great example of this is ensuring a client’s legal name, billing profile, and Chambers publication title all roll up into a single client-matter number. Without clean mapping between internal billing structures and external go-to-market taxonomies, standard reporting and down-funnel automation will inevitably produce flawed insights.

What’s the Best Data Architecture for Your Law Firm?

As law firms position themselves for AI and advanced automation, data management structures have shifted from a back-office concern to a core marketing priority. Marketing sits at both the apex and the base of the law firm data lifecycle: driving the funnel that captures prospects and utilizing closing-matter intelligence to establish market positioning.

To guide firms assessing their infrastructure, the panel outlined the structural evolution of data management tools:

Storage System

Simple Definition

Governance Impact

Data Warehouse

A highly organized, structured database

Easier to enforce strict data quality rules, but less flexible

Data Lake

A large pool for all raw, unstructured data

More flexible, but requires strong rules to keep it from becoming messy.

Data Lakehouse

A hybrid approach combining the best of both.

A modern attempt to get both flexibility and structure.

 

Architectural choices have a massive impact on a firm's AI readiness. When internal generative AI tools suffer from severe hallucinations, the root cause is rarely the software. Instead, the AI is likely scraping an unvalidated, unstructured data lake containing outdated drafts or legacy files. Implementing a data lakehouse enables the firm to enforce access rules and ensure AI models train exclusively on verified, "gold-standard" enterprise data.

How Do Law Firms Prevent Institutional Knowledge Loss?

A primary risk highlighted by the panel is the over-reliance on institutional knowledge, in which critical data on client hierarchies, key institutional relationships, and business processes resides exclusively with an individual.

When an organization fails to codify this information, it faces severe operational vulnerabilities. If a key marketing technology professional or business development leader leaves the firm, years of institutional intelligence walk out the door. The true cost to the firm is the permanent loss of strategic insights that cannot be recovered.

To actively mitigate this risk, firms should implement the following structural guardrails:

  • Maintain a Strategic Decision Log: To combat the loss of institutional knowledge, establish a culture of continuous documentation. Utilize standard operating procedures (SOPs), record team configuration calls, and maintain a centralized Decision Log. This log should explicitly document what technical configurations were executed, who authorized them, and crucially, why specific features or fields were rejected. This ensures subsequent team members understand the historical logic behind data triggers and can confidently pivot as market dynamics change.
  • Establish the CMS as the Single Source of Truth: Centralizing experience data, attorney profiles, and client case studies within a unified Content Management System (CMS) ensures that foundational firm data is codified, universally accessible, and protected against employee turnover. This prevents critical narrative data from remaining siloed in local documents or personal files.

 

How Can You Operationalize Your Law Firm’s Tech Stack for 2026 and Beyond?

Transitioning from a system of record to a system of action requires an ongoing commitment to a cyclical process: establishing clean data, continuously reporting on it, generating actionable business development metrics, and proving definitive ROI. While a firm's internal culture strongly influences how receptive different groups are to this data-driven approach, granular metrics enable marketing teams to continuously optimize performance through tactics such as A/B testing.

As the industry prepares for the upcoming 2026 RubyLaw Legal MarTech Study, law firms should remember that software cannot succeed in a vacuum. True operational excellence is achieved by pairing modern data platforms with deliberate firm initiatives, rigorous governance protocols, and persistent cross-departmental collaboration.

Interested in assessing your firm's technical positioning? Keep an eye out for the launch of the 2026 RubyLaw Legal MarTech Survey later this quarter. All participating firms will receive a complimentary, tailored technical blueprint.