Estate planning is being approached by AI from two directions at once, and only one of them is a tool you buy.
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Trusts and estates work has an unusual profile for AI. It is document-heavy and highly templated, which makes it an obvious candidate for automation — document assembly has existed here for decades. It involves judgments a model cannot make, including capacity and undue influence, which are precisely the judgments that matter most. And uniquely among practice areas, it is being approached from outside the profession: platforms sold to financial advisors now read executed estate documents, extract fiduciaries and distribution schemes, and produce client-facing summaries and diagrams. That is a different market from anything sold to attorneys, and conflating the two is the most common error in this space. Meanwhile consumer AI is drafting wills directly. An estate planner who understands only the attorney-side tools is watching one of three fronts.
Drafting and review, administration, and the competitive pressure arriving from adjacent professions.
Assembly is decades old. What is new is reading the plan somebody else drafted.
investigateAsset inventory, deadline chains and beneficiary communication — the administrative load that eats the margin.
investigateSoftware sold to wealth managers now reads your clients' estate plans. That is a different market, and it is moving.
investigateHow the Institute approaches this practice area.
Pressure is real and it is not primarily coming from other law firms. Consumer platforms have offered will and trust generation for years and AI has made that output substantially better. Separately, wealth-management platforms sold to financial advisors now read and summarise executed estate documents, which puts a sophisticated first read of a client's plan in the hands of the advisor rather than the attorney. The counterweight is worth knowing: consumer research published by one of those platforms found a large majority of consumers were open to AI in estate planning specifically when there was professional oversight. The oversight is the defensible position, which means the practice has to be visibly worth the oversight.
Assess capacity or detect undue influence — the two judgments most likely to be litigated after the client has died and can no longer be asked. It cannot decide a dispositive scheme, weigh family dynamics a client has only hinted at, or make the tax-election judgments that determine whether a plan works. And it cannot take responsibility for execution formalities, which vary by jurisdiction and are unforgiving. What it does well is read, extract, summarise, compare and draft from a structure someone else decided.
Reviewing plans the firm did not draft. Every estate planner inherits documents — a new client arriving with an instrument from twenty years ago, a trust prepared by a firm that no longer exists, a set of documents nobody has read end to end since execution. Extracting the structure, listing fiduciaries, flagging provisions that assume superseded tax thresholds and identifying deceased or unwilling parties is exactly the work models do well, and it converts an hour of unbillable reading into a structured summary the client meeting can start from. The second-fastest is the annual review and funding chase, which is mostly date arithmetic and templated correspondence.
Less than for litigation. The fellows' organisation for trusts and estates has published resources and podcast material on AI, and continuing education has appeared as one-off conference sessions rather than as a curriculum. The bar guidance that exists is general rather than practice-specific. That gap is why this area exists here — most published material on AI in estate planning is produced by companies selling software into it, which does not make it wrong but does make it partial.
Describe the practice and where the time goes. The Institute will help you find the workflows worth changing.