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How AI Will Affect Lawyers: A Practical Guide for 2025

How AI Will Affect Lawyers: A Practical Guide for 2025

14 min read

Oct 13, 2025

AI represents both opportunity and disruption for the legal profession. How should firms restructure roles as AI handles routine work? What safeguards ensure AI augments rather than undermines legal quality? And what implementation practices separate firms that thrive with AI from those that stumble?

Imogen Jones

Content Writer

A large portion of legal work is fundamentally about processing vast amounts of unstructured information. Lawyers globally review up to a billion documents across contracts, filings, discovery, correspondence and more. For decades, the only solution to this challenge was more billable hours and stronger coffee.

AI is changing that. In 2024 82% of UK lawyers reported having adopted generative AI or put plans in motion, an almost four-fold jump from 2023. 

This rapid change brings friction. Firms are justifiably concerned about confidentiality and their professional obligations. Regulators are issuing new guidance, and courts are already sanctioning mistakes.

Lawyers are excited, and uneasy. They face a Cambrian explosion of new opportunities and new challenges. This guide offers a grounded roadmap for navigating both.

In this article:

  • How AI will impact roles in the legal profession

  • Practical applications of AI for law firms

  • Tackling “Shadow AI”

  • Becoming AI-ready as a lawyer

  • Impact of AI on the billable hour model

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The Impact of AI on Lawyers

Before we get into use cases, it’s worth addressing the questions most lawyers are quietly (or loudly) asking. Is AI an existential threat to the profession, or just the most tireless junior you’ve ever supervised? What happens to pricing when task hours compress but client expectations rise? 

And, crucially, how do you harness the speed and scale of AI without compromising privilege, accuracy, or professional judgment?

Will AI Replace Lawyers? 

Every few years, the legal profession faces an existential tech crisis. In the 1980s, word processors and photocopiers supposedly spelled the end for legal secretaries. A decade ago, e-Discovery software was predicted to wipe out armies of junior associates doing document review. 

Now, it’s AI’s turn. Each wave of hype declares that robots will replace attorneys wholesale, and each time, reality proves more complex. 

As Carey Lening, a legal-tech consultant and ex-attorney said in Forbes

"Automation isn’t about replacing judgment. It’s about freeing lawyers to focus on what humans do best: empathy, ethics, and innovation. The future isn’t AI versus lawyers—it’s lawyers with AI."

With that being said, let's go through a role-by-role exploration of where and how AI will impact roles in the legal profession.

Impact of AI on Paralegals

Paralegals and legal assistants are often considered the most vulnerable to role automation. These professionals perform a lot of the foundational support tasks in legal matters: gathering and organizing documents, filling out forms, doing preliminary legal research, drafting routine filings and correspondence, managing case files, and so on. Much of this work is precisely what current AI and software can automate or simplify. 

It’s no coincidence that futurists often single out paralegals when discussing job automation in law. A widely cited Oxford study gave “paralegal and legal assistant” roles a whopping 94% probability of being computerized in the coming decades.


Multimodal platforms like V7 Go can ingest and analyze documents, spreadsheets, audio recordings, presentations and more at scale, reducing the need for manual administration.

That doesn’t mean 94% of paralegals will be out of a job, but it signals that a huge portion of what paralegals do day-to-day in 2025 technically automatable. This is likely to push the role to evolve, and not for the first time. 

As an article from Thomas Reuters notes, this has never been a static profession.

“Prior to the mid-70s, paralegals poured through law books digging for answers to prepare legal briefs. With the introduction of Westlaw, the hours they spent in the law library were converted to higher tasks. Legal document automation tools made paralegals even more efficient by simplifying the drafting process, again, freeing time to focus on analysis and case management. In neither case were paralegals deemed obsolete. In fact, they were empowered to do more.”

Consider what happens when routine work automates. Someone still needs to supervise, quality-check, and interpret the outputs. Many paralegals will likely transition into something closer to an AI operator or coordinators, leveraging their legal knowledge to make sure the tech is accurate.

For example, if an AI tool summarizes depositions, a paralegal with a keen eye will review those summaries and correct any nuances the AI missed. If an AI flags certain documents in discovery, the paralegal might be there to validate those flags and organize them for attorney review. 

Upskilling is critical here. Paralegals who proactively learn to use AI tools will make themselves significantly competitive in the job market. 

Impact of AI on Junior Lawyers

The standard model at law firms, especially big firms, has been to hire a flock of bright young associates each year, throw massive amounts of routine work at them (document review, legal research, diligence, basic drafting), and let them learn by doing grunt work under supervision, all while billing clients for many of those hours. 

This pyramid model has already been under pressure from clients demanding efficiency, and now AI is accelerating its reimagining. Firms may not need, or be willing to pay for, quite so many junior hours as before. 

The impact hasn’t been felt yet, with one recent report noting the law school class of 2024 achieved 82.2% employment in full-time lawyer jobs, a higher rate than the year prior. Still, many see it looming on the horizon.

There’s a vigorous debate here. On one hand, you have some partners openly musing, “If an AI can do 60% of a first-year associate’s work, maybe we hire fewer first-years.” If AI can handle large swaths of doc review and routine drafting, a firm might only need, say, 5 junior associates where it used to need 1o. Those 5 can manage the AI process and handle the truly complex bits.

It’s an alarming thought for law students and new grads. 

On the other hand, optimists point out that junior lawyers are still essential and that AI will free them from drudgery so they can develop more substantive skills faster.

As the grunt work often assigned to juniors is increasingly automated, new opportunities to learn and contribute may open up.

As Major, Lindsey & Africa (a legal recruiting firm) noted, “Yes, AI tools will supplant junior associates for many tasks, but don’t mourn the loss of these assignments. They are the most time-consuming and least interesting parts of a young attorney’s responsibilities.”

 Traditionally, junior associates have spent extensive periods drowning in doc review, legal research, and due diligence. Without these burdens, associates can focus on more analytical, strategic roles, diving deeper into case strategy, client interactions, substantive negotiation, oral advocacy, and skill building.

— Major, Lindsey & Africa

In sum, some traditional roles will shrink, but new opportunities (and potentially more exciting work) await those who are prepared. 

Impact of AI on Senior Lawyers and Partners

Finally, we turn to seasoned attorneys whose jobs revolve around high-level advisory, strategy, risk management, advocacy, and client relationships. These are the people who win clients’ trust, who negotiate billion-dollar deals or craft winning trial narratives. 

The good news is AI offers very little threat, and an enormous amount of efficiency. 

Consider the elements of a top lawyer’s job; exercising finely honed judgment under uncertainty, devising creative legal strategies, understanding a client’s business goals and pain points, negotiating with nuance and emotional intelligence, mentoring young lawyers, and maintaining relationships built on trust and credibility.  

An AI can’t sit across from a CEO and inspire confidence that “we have your back, here’s our plan.” It can’t read a jury’s body language. It doesn’t have intuition or gut feelings based on decades of war stories. And it certainly can’t network on the golf course or over dinner to generate new business.

The “human” side of legal practice, such as building relationships, will be more important than ever.

That said, senior lawyers cannot be complacent. Just because AI won’t replace them doesn’t mean it won’t change how they need to work. A partner who refuses to allow AI in their practice might become less competitive on cost and speed. Clients might say, “Why am I paying you for 20 hours of work that your competitor can do in 5 hours with the help of AI?” 

Similarly, if a senior lawyer never familiarizes themselves with AI tools, they won’t know the right questions to ask or the right tasks to delegate to AI, potentially missing opportunities or making avoidable mistakes.

Modern platforms like V7 Go can enable lawyers to work faster and more efficiently than ever before. Firms and lawyers who are slow to adapt may find themselves out-competed. 

Everybody, from a paralegal to a paralegal, needs to take steps to understand and effectively implement AI. In that spirit, we’ll start by exploring use cases for lawyers, before moving on to best practices and steps to become AI-ready. 

Practical Applications of AI for Lawyers

Let’s move on to where AI genuinely adds value for lawyers today. Firm-wide adoption of AI is accelerating, especially in larger firms, with legal teams and corporate departments increasingly integrating these tools into their core workflows. 

According to a 2025 survey, 8/10 legal professionals believe AI will have a “high or transformational impact” on their work over the next five years, and 53% say their organizations are already seeing a the ROI on AI investments. 

Here are some of the most impactful applications that are becoming standard practice:

  1. AI-Powered eDiscovery and Document Review

One survey in 2025 found that 77% of legal professionals using AI leverage it for document review/eDiscovery, making it the most common AI use-case in law. 

With millions of electronic files in even mid-sized cases, manual review is near-impossible. The direct solution to this core problem is AI automated document processing, supplemented with human oversight. By automating aspects of the initial relevance filtering, privilege screening, review and analysis of vast datasets, junior lawyers (who tend to bear the brunt of the grunt work) can be redeployed more analytical tasks.

To learn more, read our blog on AI for eDiscovery

  1. Automated Contract Review and Analysis

Another high-value application of AI in law is contract analysis, especially in transactional practice and due diligence for deals. Reviewing contracts to spot risks, deviations from standard terms, or key obligations is traditionally a labor-intensive slog for junior attorneys and paralegals.

 AI often undertake tasks such as:

  • Clause Extraction: Instantly pull all change of control, indemnification, or limitation of liability clauses from a batch of contracts

  • Deviation Detection: Compare a draft agreement against a firm’s standard template or playbook and flag any non-standard language.

  • Risk Scoring: Analyze contract terms to identify and assign a quantitative risk score to clauses or the entire contract, helping to prioritize review efforts. AI can compare an agreement to a database of past contracts to determine risk based on historical data.

For example, if you feed a V7 Go agent 100 NDAs or lease agreements, it can quickly tell you which ones lack a non-assignment clause or which have an uncommon indemnity provision. This has huge potential to speed up due diligence in mergers, real estate deals, financing transactions, and beyond.

  1. Routine Document Generation and Automation

Not all legal documents are bespoke works of art. A significant portion of legal practice involves standardized or semi-standardized documents: think forms, templates, and boilerplate used for things like estate plans, basic contracts, settlement agreements, corporate filings, demand letters, and so on. This is an area ripe for automation, and indeed law firms have used document assembly software for years (e.g. merging client data into a will template). 

AI is taking this a step further by enabling more dynamic document drafting; according to industry data, about 59% of lawyers using AI have used it to help draft briefs or memos. For instance, instead of a lawyer manually modifying an old contract for a new deal, an AI can potentially generate a first draft of the contract from scratch based on a plain English description of the deal terms. 

You might prompt a generative AI with, “Draft a simple commercial lease agreement for a retail store, under New York law, including a gross rent of $5,000/month and a two-year term, with a standard sublease restriction,” and get a pretty serviceable draft in seconds.

This legal document automation doesn’t eliminate the need for review, and a lawyer must still ensure the AI’s draft says exactly what it needs to and aligns with the client’s objectives. But it can drastically reduce the time spent on low-complexity drafting.

AI Agents for Lawyers

What is the most effective, powerful way to harness AI for these tasks? AI agents are intelligent systems that combine language models with reasoning, data access, and automation to perform end-to-end tasks.

Unlike generic chatbots, which generate text based on prompts, agents can read, understand, and act: they extract clauses from contracts, summarize lengthy case documents, match entities across filings, and even generate synthetic data for training or testing workflows.

V7 Go provides a secure, structured environment to build and deploy these agents responsibly. Every prompt, schema, and reasoning step is transparent and controllable, making V7 Go a trusted platform for firms that want to harness AI’s efficiency without compromising on accuracy or compliance.

From an Automated Document Redaction Agent to a Contract Analysis Agent, you can browse our library of Legal AI Agents here.



You can also earn more about AI use cases and agents for lawyers in our blog, V7 Go: Mastering Legal Complexity with Agentic AI Workflows.

These use cases are exciting, but how can lawyers implement them responsibly? The legal industry simply doesn’t change overnight. Law is conservative for good reasons: attorney ethics rules, confidentiality duties, and precedents all encourage caution with new tools. 

Below are key steps to create the most effective, compliant and secure AI workflows.

  1. Ensure AI Use Is Transparent

You might recognize some of the AI uses we’ve outlined above—maybe you're already tapping into them, or perhaps you're still evaluating. Regardless, it's important to acknowledge that not all AI adoption in law firms is top-down.

Driven by efficiency pressures, many lawyers are already using consumer tools like ChatGPT without firm supervision. According to one 2024 report, 83% of in-house counsel use AI tools that aren’t provided by their organisations, nearly half of which operate without any governance policies.

This “shadow AI” introduces serious ethical and compliance risks. In one UK example, uploading privileged strategy documents to a consumer AI tool led to losing protected status and exposing sensitive information.

To tackle this, firms must adopt a dual approach: implement secure, compliant AI platforms internally, and enforce policies around AI usage. Without oversight, even well-intentioned efficiency can give way to breaches and malpractice.

V7 Go is built with enterprise-grade data protection and sovereignty in mind, ensuring that sensitive client data remains private and compliant

Consumer-grade tools often log prompts or reuse data. Enterprise platforms like V7 Go are architected for compliance from the ground up: encrypted environments, no data retention, and full audit trails.

  1. Keep the Human-In-The-Loop

By now, many lawyers have heard cautionary tales of AI “hallucinations” in fake facts or bogus case citations that a chatbot simply invents. 

Such incidents have already occurred in real cases. In early 2023, for example, two New York lawyers were sanctioned $5,000 for submitting a brief full of nonexistent case citations generated by ChatGPT. And in 2025, the large firm Morgan & Morgan had a federal judge threaten sanctions when firm attorneys filed AI-fabricated case law in a lawsuit; the firm’s management promptly blasted out an email warning its 1,000+ lawyers that improper use of AI “could get you fired”. 

Image depicts a manual correction being made by the user to the Country field in V7 go

A reviewer overseeing and refining AI output inside V7 Go.

Some judges now require lawyers to certify that any AI-generated content in a filing has been thoroughly checked by a human. No firm wants to be the test case for a tech-driven malpractice scandal.

3. Start Small and Scale Thoughtfully

Many firms make the mistake of trying to automate their most complex workflows first, or rolling out AI across the entire organization before proving value in a controlled environment. Begin with low-risk, high-volume tasks. Choose workflows where:

  • The stakes are relatively low (administrative tasks, initial document sorting)

  • The volume is high enough to demonstrate ROI quickly

  • Success can be easily measured (time saved, accuracy rates)

  • Errors are easy to catch and correct

Create feedback loops between pilot users and leadership. The lawyers testing AI workflows in real cases will quickly discover practical limitations and opportunities that weren't obvious in theory.

The goal is to build confidence, competence, and compliant practices that position your firm to scale AI responsibly as the technology matures and your team's expertise grows.

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"Deploying complex AI workflows across large volumes of documents with V7 Go to increase accuracy, scale, and quality of legal services."

International Law Firm

"Deploying complex AI workflows across large volumes of documents with V7 Go to increase accuracy, scale, and quality of legal services."

International Law Firm

Five steps to become an AI-Ready Lawyer

The responsibility for AI tooling doesn’t begin and end with the firm you work for; there are practical steps legal professionals can take to future-proof their skillset and become more efficient. 

Being “AI-ready” doesn’t mean you need to code or become a data scientist. Rather, it means leveraging AI tools to deliver legal services that are better, faster, and more accurate while upholding ethical standards.

As a senior leader from LexisNexis put it:

 “Some lawyers will race ahead. They’ll embrace AI with both hands and quietly start outperforming their peers. Others will move at a more comfortable shuffle. A few will cling to the inkwell until the lights go out.”

In this spirit, here are five steps to become an AI-ready lawyer:

  1. Lead Innovation in Your Practice


    Every sea-change has its followers and its leaders. Consider whether you’re in a position to champion thoughtful innovation within your organization. The greatest value from AI comes from rethinking entire processes. Learn to map out legal workflows, identify bottlenecks, and consider where AI can be integrated to create efficiency.

    You can lead by example in using the tools available and advocating for their responsible use. Being optimistic and proactive about AI (while remaining professionally skeptical in execution) will mark you as an innovative practitioner. 

    Harnessing AI to automate menial or time-consuming tasks creates space for the higher-value, more engaging work that sits at the core of the legal profession. 


    In short, push your practice to evolve in step with technology. Your clients and colleagues will thank you for it.

  2. Master Prompt Engineering


    The traditional skill was finding the needle in the haystack through painstaking research. The new skill is knowing how to ask the AI to find the right needles and deliver them with context.

    For example, a general prompt like "summarize this case" could yield a generic overview. A strong prompt, like "Summarize the attached Supreme Court opinion, focusing on the majority's reasoning for overturning the lower court's decision and identifying the key legal test established. Limit the summary to 300 words," will produce a much more useful, targeted result. 

    Learn more in our guide to Prompt Engineering.

  3. Become a Trusted Reviewer

    No matter how advanced AI becomes, legal judgment remains squarely in the lawyers’ domain. An AI tool might produce a first draft of a brief or summarize hundreds of documents, but it cannot (and should not) be trusted to make final decisions. The AI-ready lawyer’s most critical role is that of the expert validator who provides analytical oversight of AI-generated outputs. In practical terms, this means rigorously checking the AI’s work for accuracy, bias, and completeness, just as you would review the work of a junior associate. 

    Modern AI agent solutions like V7 Go make this easier by linking every extracted insight or clause directly to its source document and page, so you don’t have to guess where the information came from. 

  4. Commit to Continuous Development

    Getting the most out of AI means investing time in ongoing education. Attend CLE courses on legal tech and AI, follow industry publications, and experiment with new AI tools in a sandbox environment. Many firms now offer internal training on AI tools, and bar associations are publishing guidance on generative AI. 

    By cultivating a habit of continuous learning, you ensure that as AI advances, your skills and workflows advance with it. You can proactively integrate useful innovations into your practice. An AI-ready lawyer is, at their core, a lifelong learner who treats technology as an evolving partner in legal work.

  5. Understand AI Ethics for Lawyers

    The core ethical duties of lawyers have not changed: competence, diligence, confidentiality, and supervision still define professional responsibility. What has changed is how these duties apply in an era where AI is part of everyday legal work.

    Guidance is converging on the same point: use AI, but use it competently. California’s State Bar says lawyers must understand a tool’s limits, avoid over‑reliance, and critically review and validate AI outputs; it also cautions against inputting confidential information into tools that lack adequate security or that train on your prompts.

Ready to discover how AI could create more scalable, secure, efficient workflows for your firm? Book a confidential chat with our expert team here.

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Imogen Jones

Content Writer

Imogen Jones

Content Writer

Imogen is an experienced content writer and marketer, specializing in B2B SaaS. She particularly enjoys writing about the impact of technology on sectors like law, finance, and insurance.

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