Technology, AI, and Practice Modernization is one of those areas where the practitioners who actually do the work are usually too busy to write about it, and the ones who write about it tend to do less of it. This piece tries to split the difference.
Written for mediators considering Technology, AI, and Practice Modernization as one of several possible practice directions, with limited time to evaluate which one is worth pursuing.
For mediators, Technology, AI, and Practice Modernization comes up in the context of helping parties reach agreement, not in producing analytical conclusions for one side. The mediator’s role is structural — surfacing both parties’ interests, identifying common ground, and helping the parties construct durable agreements. Mediators who slip into advisory or evaluative roles on Technology, AI, and Practice Modernization undermine their effectiveness in subsequent sessions.
Starting the work
The right intake length for a Technology, AI, and Practice Modernization matter is usually 60 to 90 minutes, conducted in person or by video. Shorter intakes miss the depth required for the engagement to be properly scoped; longer intakes overwhelm the client. Many practitioners follow up the intake conversation with a written summary the client confirms before the engagement letter is sent.
A useful intake habit: ask the client to articulate, in their own words, what they’re hoping the engagement will produce. The answer reveals where the client’s expectations align with what Technology, AI, and Practice Modernization engagements actually deliver and where they don’t. Closing the gap before the engagement starts saves significant friction during the matter.
What happens in the middle phase
The pacing of the middle phase depends heavily on third-party responsiveness. Some Technology, AI, and Practice Modernization engagements can complete the middle phase in 30 days; others stretch to four months because a critical document custodian is slow to respond. Practitioners who actively chase third-party documents — rather than waiting for them — keep matters moving meaningfully faster than passive practitioners. For deeper reference, see ABA Law Practice Division.
The middle phase of a Technology, AI, and Practice Modernization engagement is mostly about data gathering, analysis, and coordination. The data gathering involves requesting documents from the client and (often) from third parties through subpoenas or formal requests. The analysis involves working through what the documents reveal. The coordination involves keeping the attorney and other co-professionals informed.
Producing the work product
Most Technology, AI, and Practice Modernization deliverables follow a consistent format that practitioners refine over multiple matters. An executive summary at the top. Background and scope. Methodology. Findings. Conclusions and recommendations. Appendices with supporting documentation. Practitioners who maintain a template they refine engagement by engagement produce stronger deliverables faster than those who reinvent the format each time.
The deliverable for a Technology, AI, and Practice Modernization engagement is the work product everyone will reference for years afterward. It needs to be defensible (your analysis can withstand scrutiny), readable (the client and any non-specialist can understand it), and complete (it addresses what the engagement was scoped to address). The deliverable usually takes 20-40% of the engagement hours; underestimating this consistently produces matters that run over time.
Matter-specific considerations
Pro bono or reduced-fee Technology, AI, and Practice Modernization engagements present a specific risk: the temptation to deliver less rigorous work than the practitioner would for a paying client. Pro bono cases that go wrong because of insufficient analytical rigor damage practitioner reputation more than paying cases that go wrong, because the quality gap is visible.
Technology, AI, and Practice Modernization engagements vary along a few predictable dimensions: client sophistication (institutional client vs. unsophisticated individual), case complexity (single straightforward question vs. multiple intertwined issues), opposing-side cooperation (cooperative vs. adversarial), and timeline pressure (negotiated timeline vs. court-imposed deadlines). Each dimension affects how the standard engagement pattern needs to adjust.
Practitioners who want to make Technology, AI, and Practice Modernization a meaningful part of their work should commit to the long timeline. The first year produces little visible return. The third year shifts. By year five, the work and the referrals look noticeably different.
How VennBoard fits in
If you’re building a focus on Technology, AI, and Practice Modernization, the case-management infrastructure matters more than most practitioners think going in. VennBoard is built specifically for family-law-adjacent practitioners and handles the document organization, the multi-party coordination, and the engagement-management that makes long-arc matters manageable.
Practitioners interested in seeing VennBoard’s case-management infrastructure for Technology, AI, and Practice Modernization work can learn more at VennBoard.com.