AI Accelerates Divorce Law Work but Stanford Study Flags Hallucination Threats

Divorce attorneys in Massachusetts are already using generative AI to sort documents, draft agreements and pull case law. The technology promises faster turnaround and lower fees, a boon for families in places like New Bedford where affordable counsel is scarce.

In practice, AI platforms such as LexisNexis and Westlaw let lawyers ask natural‑language questions and receive concise answers with citations. That shift can reduce research time from several hours to a few minutes, allowing firms to take on more cases without raising costs. Financial document reviewers also rely on AI to scan bank statements, tax returns and retirement accounts, flagging hidden assets in seconds rather than days.

Attorney Julia Rueschemeyer cautions that AI cannot replace human judgment. She notes that while AI helps organize files and draft language, only a lawyer can negotiate livable settlements and interpret nuanced family‑law statutes.

The upside meets a serious downside. Researchers at Stanford evaluated leading legal AI tools and discovered that even products marketed as free of hallucinations produced inaccurate or fabricated answers in a notable share of queries. In one high‑profile incident, an attorney cited nonexistent cases generated by ChatGPT, resulting in sanctions.

For divorce law, where outcomes hinge on state‑specific rules—such as Massachusetts’ asset‑division statutes and pension‑plan requirements—any hallucinated citation or mis‑stated rule could jeopardize a client’s rights.

Law schools are adding AI literacy to curricula, and bar associations are issuing ethics guidance, but the Stanford findings underscore the need for rigorous verification. Attorneys must treat AI output as a research aid, not a final authority.

What to watch next: how courts and professional bodies will regulate AI‑generated legal content and whether new verification tools can curb hallucination rates.