AI is helping lawyers review contracts, organise files and tackle routine administration in a fraction of the time. But a revealing discussion among legal professionals suggests that saving time is only half the story.
Artificial intelligence has made some impressive promises to the legal profession. Faster research, quicker contract reviews, automated correspondence and less time spent on repetitive administration all sound appealing.
But is AI actually saving lawyers time in their working day, or are we simply finding more work to fill the hours it frees up?
That question was raised in a discussion on Reddit’s r/legaltech forum, where legal professionals shared their experiences of using AI in everyday legal work. The responses offered a useful reality check for firms still deciding whether AI is worth adopting.
The overall message was encouraging: AI can save significant time, but the results depend on the task, the workflow and the lawyer’s ability to check the output.
The biggest gains come from routine work
Several contributors pointed to practical tasks where AI is already making a difference.
These include reviewing documents, extracting key contractual terms, preparing case chronologies, summarising lengthy transcripts, drafting routine emails and memoranda, proofreading and organising files.
One contributor working as a sole practitioner described using Claude across much of their practice, including document review, file organisation, translations, suggested timekeeping entries and first drafts of correspondence.
Another participant highlighted structured document work as a particularly effective use of AI. Rather than starting from scratch, a lawyer can use AI to produce an initial draft or a summary of a large document bundle, then review and refine the result.
This is an important distinction. AI does not necessarily need to produce a perfect final document to be useful. It needs to give the lawyer a reliable starting point that reduces the amount of manual work required.
For a small law firm, that could mean spending less time extracting information from documents and more time advising clients, negotiating agreements or preparing a case.
Saving brainpower may be just as valuable as saving time
One of the more interesting observations in the discussion was that AI saves not only time but also mental energy.
Lawyers routinely deal with demanding work that requires concentration: reading lengthy documents, switching between matters, checking dates and deadlines, and keeping track of numerous details.
Delegating some of the repetitive cognitive work to AI can leave a lawyer with more energy for the parts of the job that genuinely require professional judgement.
However, another contributor raised an unexpected problem. As AI makes individual tasks quicker, lawyers may find themselves handling more matters simultaneously. The hours worked might remain the same, but the intensity of the work increases.
A contract review that previously occupied most of a working day might now take a couple of hours. That sounds like a clear win until the lawyer fills the remaining time with several additional demanding workstreams.
The result can be greater output without any improvement in work-life balance.
This raises an important question for law firm managers: when AI saves time, should the reward be more billable work, lower fees, better service or simply a more manageable working day?
The answer will depend on the firm, but it should be considered before introducing AI purely as a productivity tool.
Where AI may not save time
The discussion also highlighted an important limitation: not every legal task benefits equally from AI.
Open-ended legal research and complex legal drafting can become time-consuming if the system produces incorrect information, unreliable citations or convincing but unsupported conclusions.
One participant observed that checking every quotation and correcting hallucinations can take longer than preparing the work manually.
This is especially relevant when dealing with legislation, case law and legal arguments. A well-written answer is not necessarily a legally correct answer.
AI-generated work must be checked against authoritative sources. Lawyers should verify cases, quotations, statutory provisions and the relevance of any authorities cited before relying on them.
The practical lesson is to begin with tasks where the output can be compared against an identifiable source or checked against clear criteria.
Extracting dates from documents, comparing contractual clauses and building a chronology are examples. Asking AI to reach a definitive conclusion on a complicated legal dispute is a different proposition.
Better integration can matter more than another AI tool
Not every improvement mentioned in the discussion came from generative AI itself.
One contributor argued that better integration between existing systems including legal research platforms and document management systems was delivering meaningful savings by reducing clicks, delays and duplicated work.
This is a useful reminder for firms considering their technology budgets.
Sometimes the problem is not that lawyers lack an AI assistant. It is that their current systems do not work together efficiently.
Before purchasing another subscription, a firm should identify where staff lose time moving information between applications, searching for documents, re-entering data or completing repetitive administrative tasks.
AI may help solve some of these problems, but workflow improvements and system integration may offer equally valuable benefits.
Confidentiality remains part of the equation
The Reddit discussion also touched on whether lawyers should use locally hosted AI for confidential material, rather than relying on cloud-based services.
There is no universal answer. A properly configured enterprise cloud service may offer appropriate contractual and technical safeguards, while a locally hosted model may provide greater control over where information is processed. Neither option is automatically secure simply because of how it is hosted.
Law firms should assess the specific service’s data-handling terms, retention policies, access controls, security arrangements and any use of submitted information for model training.
In South Africa, these decisions should also take account of applicable professional confidentiality obligations and POPIA where personal information is involved.
Redacting identifying information can reduce exposure, but it is not a complete substitute for an appropriate AI-use policy and a proper assessment of the service being used.
What should law firms do?
The experiences shared in the discussion point towards a sensible, low-risk starting point for firms that want to explore AI without embarking on an expensive technology project.
Start small and measure the results.
Choose one repetitive task, such as summarising lengthy documents, preparing first drafts of routine correspondence or extracting information from a bundle of documents. Test an appropriate AI tool against the firm’s existing process.
Measure the time taken, the quality of the output, the amount of checking required and the cost of the tool. Also consider whether the workflow reduces frustration and frees staff to concentrate on more valuable work.
Do not assume that a faster first draft automatically translates into a faster completed task. Include verification, corrections and any additional administration in the calculation.
Most importantly, retain professional oversight. AI should assist the lawyer, not become an unaccountable decision-maker.
The verdict: AI can save time but what happens next?
The Reddit discussion provides encouraging examples of AI helping legal professionals work faster. It also exposes a less obvious challenge: productivity gains can quickly turn into higher workloads if firms simply expect people to do more.
For South African practices, the opportunity is not limited to buying specialised legal AI software. Carefully chosen general-purpose AI tools may already help with document handling, drafting, summarisation and routine administration, provided confidentiality, accuracy and professional oversight are addressed.
The real question is not simply whether AI saves time.
It is whether a law firm uses that time intelligently to improve client service, reduce unnecessary costs, increase capacity or give its people more room to think.
My takeaway: Don’t start by asking which AI tool your firm should buy. Start by asking which repetitive task wastes the most time, then test whether AI can do it safely, accurately and more efficiently.
That is a far more useful starting point than buying technology because everyone else seems to be doing it.
Source: Discussion and comments in “Has AI actually saved you time in your legal work?” on Reddit’s r/legaltech. The experiences described are individual contributors’ accounts, not a controlled study or a representative survey of the legal profession.
