After more than 20 years in the legal discovery sector, I, like many in this space, look back and see that my path into it was not a straight line. I joined the Department of Justice as an analyst at a moment when the office had just begun digitizing hard copy – paper to PDF, one document at a time.
Two remarkable leaders before me had already set the office on a course of keeping pace with technology and the changing landscape of how data is created, captured, and processed. Following in their footsteps from 2013 through 2025, I had the privilege of helping carry that work forward. What stands out most is not how difficult the road was, but how much the entire ecosystem grew along with us.
Agencies, practitioners, and technology partners were all figuring this out together, and there is a lot from that journey worth sharing with public sector practitioners who are continuing to navigate neverending change now.
Government e-Discovery is Different
When e-discovery tools first came to market, they were built primarily for law firms. The workflows reflected that. When government agencies began adopting them, there was a learning curve on both sides.
What I came to understand over time is that the ways a government law office operates are not obstacles to good e-discovery practice, but features of it. Different practice groups within a single office require different layers of security and access controls as a matter of law and ethics. Some collection, review, and production processes are governed by regulations that have no direct private sector equivalent. Approval workflows that might appear cumbersome from the outside exist for reasons that matter deeply: accountability, defensibility, and public trust.
Ultimately, I also found that the technology partners who became true collaborators were genuinely curious about that environment and willing to build around it. Their curiosity made the tools better for everyone, not just government agencies. Today, it has also compounded into something more substantial: a market that increasingly understands government as a distinct discipline, not a variation on private sector practice.
Defensibility is the Foundation
A conversation our team returned to often was the role of metadata in enforcement and government legal work. In some contexts, metadata is treated as something simply to preserve. In a government context, it is evidence to be analyzed. Chain of custody and authentication matter significantly, and every step of the collection process has to be documented in a way that holds up not just in court, but under any subsequent scrutiny of how the matter was handled.
Deadlines imposed by law and court rules are not flexible. The scope and complexity of what needs to be collected within those timeframes is significant, and the standard to which every decision is held is high.
What our team found was that building for defensibility from the start actually produces better e-discovery practice across the board. The discipline government work demands makes for processes that are cleaner, more auditable, and more trustworthy than one might otherwise build. That is a lesson worth carrying into any practice, public sector or otherwise.
The Structural Challenges of Modernizing
Modernizing e-discovery inside a government law office requires the right technology – but technology alone is never enough. The structural realities of how government operates shape everything.
Budget is the most visible constraint. Government appropriations are tied to specific programs and cannot easily shift between them. Requests for additional funds are possible, but slow; the process is lengthy, approvals are partial or denied outright, and the timeline rarely aligns with the pace of technology or the urgency of operational need. The procurement process compounds this further, with review and approval cycles that frequently outlast contract or renewal deadlines. The result is that modernization happens in small stages, often stalls, and sometimes requires a significant failure before momentum returns. Perseverance is not optional. It is the job.
Beyond budget, there is the challenge of organizational trust. The obstacle is rarely the technology itself, but rather the governance of data across multiple levels of the department, each with legitimate and distinct concerns. End users are often enthusiastic about new tools, whereas executive teams and security officers have to ask harder questions about explainability, data sovereignty, security architecture, and the potential for bias.
An e-discovery manager operating in this environment has to be fluent in all of those conversations. The ability to translate the same need into the language of a chief or director, a security officer, an IT lead, and a frontline analyst is a core competency for this profession.
The Moment AI for Doc Review Stopped Being a Question
There was a matter where our team had been working through a large document set the traditional way. Linear review is what you do when it is what you have, and our team did it thoroughly and carefully. But the volume was significant and the timeline was not. After weeks of work, it was clear that the pace was not going to meet what the matter required.
When a legal AI workflow was run over that same data, the difference was not incremental. Results that would have taken weeks came back in minutes, and each output included clear citations explaining why a document had been identified as relevant. The legal team could see the reasoning, evaluate it, and trust it. That transparency, in a government context where every decision has to be explainable and defensible, was crucial.
From that matter forward, AI played a part in how our team worked. It had proven itself in exactly the kind of high-stakes, accountability-driven environment where it needed to.
What made it work was the right technology paired with the right conditions: quality underlying data, a well-structured review protocol, and careful validation of results. The technology is the engine, but it performs in proportion to the discipline you bring to it. When those pieces align, the difference is real and it is significant.
Where AI is Taking e-Discovery Next
The traditional e-discovery workflow is built from layers of collecting, processing, search, review, and production, and AI is already beginning to accelerate and consolidate several of them. For example: semantic search based on meaning rather than exact phrasing makes for more effective searching, while natural language querying can replace rigid structural configurations.
The technology also reaches beyond documents and email. Today, AI can detect speakers in audio and video files, recognize and track objects in footage, summarize transcripts, and cluster images – all capabilities that make the assembly of complex evidentiary records far more manageable, and free reviewers to focus on the actual legal analysis.
The next significant leap, though, will be the ability to apply AI across an entire department’s data environment: identifying relevant information where it lives, collecting and preserving it, and organizing it for review. We are already seeing the beginning of this with the convergence of FOIA and public records work with traditional e-discovery workflows.
What this means for public sector offices is a need to stay informed, pilot new tools where approved, and move toward a common baseline of capability. Courts are adopting AI faster than many agencies and using it for legal research, transcription, document review, and even drafting. Government practitioners do not need to move recklessly, but they do need to move.
What the Journey Looks Like
For any public sector office beginning to think seriously about AI for data review, the most important thing to understand is that you do not need to have everything figured out before you start.
The offices doing this well did not wait for perfect conditions. They identified a well-scoped matter, built their protocols, validated their results, and learned from the process. AI review tools help legal teams analyze and prioritize documents with a level of efficiency that simply was not available a few years ago. It does not make final responsiveness determinations; attorneys still do that. But it brings speed and transparency to the process in a way that is genuinely compatible with the defensibility standards government practice demands.
The path through government e-discovery modernization is rarely clean. It moves in stages, stalls, restarts, and requires someone willing to keep making the case at every level of the organization. But the technology has been tested in high-volume, high-stakes, high-accountability environments. It is ready for government work. The question now is whether government offices are ready to meet it – and based on what I saw over more than two decades in this field, I believe they are.
Graphics for this article were created by Caroline Patterson.
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