AI by Industry 4 min read By Pete Jones

AI in Legal Services: What Lawyers Actually Think

AI is writing contracts, summarizing case law, and flagging risks — and lawyers have opinions about all of it. Here’s the real picture.

Lawyers are not known for being early technology adopters. The legal profession moves carefully, has strong liability incentives for caution, and has a culture that values precedent. So when law firms and legal teams start deploying AI tools at scale, it’s worth paying attention.

That’s what’s happening right now. Here’s where AI is being used in legal services, where it’s delivering real value, and what lawyers themselves think about it.

Document Review

This is the most established AI application in law, and it’s been deployed in large litigation and M&A transactions for over a decade. In major cases, attorneys have to review tens of thousands — sometimes millions — of documents for relevance, privilege, and specific facts. Doing this manually with junior associates is extremely expensive and slow.

AI-powered document review (called Technology Assisted Review, or TAR) uses machine learning to classify documents at a fraction of the cost and time. The attorney reviews a sample, the model learns from those decisions, and it applies them to the rest of the document set. Studies have consistently shown TAR to be at least as accurate as manual review for large document sets.

Legal Research

Traditional legal research — finding relevant case law, statutes, and secondary sources — has been done through tools like Westlaw and LexisNexis for decades. AI is now changing how that research is done. Tools like Westlaw Precision, Lexis+ AI, and Harvey can take a legal question in plain language and surface relevant cases, summarize how courts have ruled on an issue, and identify the strongest precedents for a given argument.

The productivity gain here is significant. Research that used to take a junior associate two or three hours can be completed in 20–30 minutes with a good AI research tool. The attorney still needs to read and evaluate the cases — AI-generated legal research has hallucinated case citations, which is a serious problem when those citations end up in filed briefs — but the initial research phase is faster.

Contract Drafting and Review

AI contract tools can draft standard agreements (NDAs, employment contracts, service agreements) from templates in minutes, and review contracts for unusual or missing clauses compared to market standard. This is particularly valuable for in-house legal teams that process large volumes of contracts and can’t afford outside counsel rates for routine work.

For transactional law firms doing high-value complex deals, the AI drafting tools handle the boilerplate while the attorneys focus on the negotiated terms and deal-specific provisions.

What Lawyers Actually Think

The response from the legal profession has been more pragmatic than the culture might suggest. Surveys of large firm attorneys consistently show majority adoption of AI tools for research and document tasks, with high satisfaction rates for productivity gains. The concerns are consistent:

  • Accuracy and hallucination — The incident of attorneys submitting AI-generated briefs citing nonexistent cases (and getting sanctioned for it) put the legal profession on alert. The consensus view is that AI output always requires attorney verification before it goes anywhere that matters.
  • Client confidentiality — Putting confidential client information into consumer AI tools raises ethical concerns under attorney-client privilege and model rules. Most firms have policies about which tools can be used with client data, with enterprise versions of AI tools (which don’t train on input data) being the compliant option.
  • Billing model disruption — Billable hours for associate document review and research have historically been a significant part of large firm revenue. If AI cuts those hours by 70%, something has to give. Firms are still working out how to price in the AI era.

What Hasn’t Changed

Trial work. Client counseling. Strategy. Negotiation. The judgment calls at the heart of what a good lawyer does — those remain human. A partner who can evaluate the AI-generated research output, synthesize it with their experience of how a particular judge rules, and advise a client on the realistic risk profile of a case is not being replaced by Harvey.

The honest view from practitioners: AI is changing who does what in law, and at what cost. It’s making certain tasks faster and cheaper. It’s creating pressure on some billing models. And it’s making legal services more accessible at the margins — which is, on balance, a good thing for clients.

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