Corporate legal teams are being asked to evaluate and approve GenAI at a pace few organizations could have imagined just a short time ago. The first question we often hear is, “Can we use GenAI for this matter?” And increasingly, the answer is yes. The natural follow-up question is then, “How do we use GenAI in a way that protects the data and preserves privilege, while still controlling access, managing cost, and keeping the workflow defensible?”
That’s where GenAI has changed the conversation, but not the obligations. Legal teams must still manage:
- Risk
- Security
- Confidentiality
- Defensibility
- Client confidence
The challenge is to do all that while also leveraging tools that help teams move faster with better information.
At TCDI, our approach is to help clients match the right GenAI model to the right risk profile. There will be matters and use cases where sending data to an external platform makes business or budget sense. But that should be a deliberate decision, not the default.
For matters involving sensitive data or workflows that require tighter control, TCDI can bring proven GenAI technologies into our secure environment. This gives our clients another option: innovation that comes to the data rather than data always having to go to the innovation.
Why Data Location Matters
That distinction matters, because legal data is rarely ordinary business data. It can include anything from privileged communications and trade secrets to employee data, financial records, regulatory materials, source code, and investigation files. Once that information leaves a controlled environment, the risk analysis changes.
Corporate counsel often has to ask practical questions before approving any GenAI workflow:
- Where is the data processed?
- Is it retained?
- Is it used to train a model?
- Can access be restricted and audited?
- Are outputs logged?
- Can the process be repeated and explained later?
Those questions aren’t obstacles to innovation. They are the guardrails that make innovation usable.
Hosting data behind the TCDI firewall gives us a stronger starting point for that analysis. Client data can remain inside a secure, monitored infrastructure where access controls, operational procedures, and quality practices are already part of the matter workflow. That changes the discussion from blind trust in a tool to validation of a controlled process and environment.
Cost Savings Behind the Firewall
That same control can also change the cost conversation. Security usually receives the most attention when legal teams discuss bringing GenAI behind the firewall, but cost belongs in that analysis too.
This technology can be incredibly useful, but just because it’s fast doesn’t mean it’s free. Bundled, all-in, and competitive pricing models for cloud-based solutions can certainly help control spend, but they may not work for all situations. The costs can add up quickly, especially when large data sets are involved.
Token usage, platform fees, storage, data movement, and licensing models can all affect total spend. One prompt may cost very little. Running repeated summaries, extractions, privilege checks, issue analysis, and document-level workflows across millions of records is a completely different story. GenAI doesn’t bill by the hour, but that doesn’t mean it can’t run up the meter.
Matching the Tool to the Work
That’s where a controlled environment can make a meaningful difference. Behind the firewall, GenAI can be managed as part of your overall matter strategy instead of as a series of disconnected requests.
It also gives legal teams more options. Not every task requires the largest, most expensive model. Some workflows may be better served by smaller models or more targeted AI tools. Others may call for legacy technology and workflows like structured extraction, analytics, automation, or a combination of approaches operating inside the same secure environment. The point isn’t to use the most impressive tool or to be limited by a single solution. The point is to use the right tool for the job.
Building Cost Control into the Workflow
Behind the firewall, cost control becomes part of the workflow design:
- Usage can be monitored
- Redundant processing can be reduced
- Workflows can be repeated
- Results can be validated
- Budgets can be managed with better visibility
These things don’t just help clients spend less. It helps them spend smarter while keeping control of the data, the process, and the outcome.
Turning GenAI into a Defensible Workflow
Whether GenAI is deployed in the cloud, behind the firewall, or through a hybrid approach, the need for defensibility is the same. The deployment model should fit each matter, and that requires a thoughtful analysis of the project’s data, risk profile, and the client’s business requirements.
That’s the difference between testing GenAI and operationalizing it. A proof-of-concept can look impressive when the environment and prompts are clean and set up for success. Real matters are messier. They include bad OCR, duplicate content, inconsistent metadata, chat messages, spreadsheets, and documents with names like Final_FINAL_v7_reallyfinal.docx. GenAI can help with that chaos, but only when it’s supported by the right process.
Choosing the Right Deployment Model
For some matters, a cloud-based platform may be the right answer, offering the right functionality, scale, speed, and pricing for the job. For other matters, especially those involving sensitive data or workflows that require tighter control, a behind-the-firewall model may provide a better fit.
It gives teams more control over the process from the start, from the inputs and access permissions to the prompts, workflows, and output review protocols. Exceptions can be escalated when needed, and quality checks can be built into the workflow instead of being added after something goes sideways.
And the point isn’t cloud versus behind-the-firewall. The point is control, fit, and defensibility. A secure, behind-the-firewall option gives clients another path when the data or risk profile calls for it. Instead of forcing every GenAI use case into the same model, it can help clients build transparent workflows around specific needs and measurable controls.
The Practical Payoff
Ultimately, taking the time to weigh the pros and cons of each tool and strategy isn’t to slow GenAI adoption. The goal is to make it sustainable. When this technology is evaluated carefully and deployed securely, it can support a variety of data and use cases.
But speed without control is just a faster way to create a new problem. The better path is structured innovation:
- Define the use case
- Prepare the data
- Secure the environment
- Validate the output
- Document the workflow
- Refine the process over time
That kind of structure is what allows legal teams to move quickly without losing sight of the obligations that were there all along.
The Bottom Line
GenAI is changing eDiscovery and litigation support, but it hasn’t changed the fundamentals. Legal teams still need secure, defensible workflows supported by quality control, clear communication, superior service, and sound processes. And when you take a step back to look at the big picture, it’s clear that the winners will be the organizations building the right operating model around the right tools.
TCDI’s secure GenAI approach gives clients a behind-the-firewall option for exploring what GenAI makes possible without giving up control over the data that matters most. Your data never leaves the building. In today’s GenAI conversation, that may be the most important innovation of all.
Dave York
Author
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Dave oversees TCDI’s Litigation Services team involved in projects and data relating to eDiscovery, litigation management, incident response, investigations and special data projects. Since his start in the industry in 1998, Dave has made the rounds working on the law firm, client, and now provider side of the industry, successfully supporting, executing and managing all phases of diverse legal and technical projects and solutions. During his career he has been a NC State Bar Certified Paralegal, holds a certification in Records Management, is a Certified eDiscovery Specialist (ACEDS), and has completed Black Belt Lean Six Sigma training. Learn more about Dave.