Defender practice

Hearing memos from the docket: what autonomous means in a defender’s office

“Autonomous” is a marketing word, so it is worth fixing what it can honestly mean in a public defender’s office, and what it cannot mean under the rules that govern the office.

The hours the work actually takes

In 2023 a RAND team, working with an expert panel of thirty-three criminal defense attorneys, published time estimates for reasonably effective assistance of counsel in adult criminal cases. A case carrying life without parole: 286 hours. Murder: 248. Sex offenses: 167. Other high-severity felonies: 99. Mid- and low-severity felonies: 57 and 35. High- and low-severity DUI: 33 and 19. Misdemeanors: 22.3 and 13.8. Probation or parole violations: 13.5 [1].

Those are not aspirational numbers pulled from a mission statement; they are what a panel of practitioners said the work takes. Any defender reading them knows the gap between that column and their own calendar, and knows where most of the missing hours would have gone: into the record.

The record has grown faster than the staffing. By 2016, the last year in the Bureau of Justice Statistics survey cited here, 47 percent of general-purpose law enforcement agencies in the United States had acquired body-worn cameras [2]. A single misdemeanor can now arrive with four camera angles, a dispatch log, and an hour of booking video, against 13.8 hours of budgeted attorney time for the whole case.

Docket in, memo out

The workflow that matters is narrower than “AI for law.” It is this: the week’s docket goes in; a memo per setting comes out; nobody writes a prompt.

That last clause is the whole design. A prompt is a question, and a question is a hypothesis about what matters. On a case you have not read yet, you do not have one. The office that has to ask “summarize the body cam for suppression issues” has already decided the case is a suppression case, and if it is actually an identification case, the summary will be fluent and useless.

An autonomous pass means the system takes the material with no question attached, works out on its own which issues the record raises, and forms its own theories about each — then proves or refuses each one against the file. What comes back is not an answer to your question. It is a list of what is in the record, with the support for each item attached.

What autonomous does not mean

The rules are clear, and offices should adopt the language rather than argue with it. California’s 2026 guidance states that lawyers must not deploy agentic systems in a manner that allows the system to make substantive legal determinations, communicate legal advice, prepare and file pleadings, or otherwise act in a representative capacity without meaningful lawyer supervision [3]. The same guidance requires a lawyer to review all AI-assisted output for accuracy, including analysis and citations to authority, before submission — and, in terms, regardless of whether the output was generated with or without real-time human direction [3].

Read that second clause slowly, because it is aimed exactly at this workflow. Autonomy at the input does not reduce the duty at the output. ABA Formal Opinion 512 reaches the same place through Rule 1.1: a lack of an appropriate degree of independent verification or review of a tool’s output could violate the duty of competence [4].

So the attorney still does the work only an attorney can do. She decides which issue to raise and which to hold back for trial. She decides what the client’s interests are, having spoken to the client. She makes the strategic call the memo cannot make, because the memo does not know what the client told her in the jail. She signs, and she appears.

Review with receipts

What changes is the shape of the review, not whether there is one.

Reviewing a summary means re-reading the source to find out whether the summary is true — the full cost, minus the typing. Reviewing a record with receipts means checking a claim against the citation printed beside it. Each line names the exhibit, the timestamp, the page. You spot-check, you follow the ones that matter, and you spend your attention on the judgment calls instead of on verification.

The second half is the part offices underestimate: what the system could not establish has to be visible. A memo that silently omits the issue it could not resolve is more dangerous than one that gets something wrong, because there is nothing on the page to check. Held items belong in the memo, named, with the reason.

That division of labour is what Apodicta is for in a defender’s office. It renders nothing it can’t ground, it names what it holds, and the decisions that follow stay where the rules put them — with the lawyer whose name goes on the filing.

Sources

  1. National Public Defense Workload Study (RR-A2559-1)Pace, Brink, Lee & Hanlon, RAND Corporation · 27 July 2023
  2. Body-Worn Cameras in Law Enforcement Agencies, 2016Bureau of Justice Statistics, U.S. Department of Justice · 2018
  3. Practical Guidance for the Use of Generative Artificial Intelligence in the Practice of LawState Bar of California, Standing Committee on Professional Responsibility and Conduct · 2026
  4. Formal Opinion 512: Generative Artificial Intelligence ToolsABA Standing Committee on Ethics and Professional Responsibility · 29 July 2024

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