Generative AI is a type of artificial intelligence that can create new content based on massive amounts of training data and natural language prompts.
So far, the legal industry has embraced this technology with open arms.
According to a 2025 report by the American Bar Association (ABA), 31% of legal professionals are already using generative AI at work.
And this number is just the beginning, as 95% of legal teams expect generative AI to become a central part of their organization’s workflow within the next five years.
The reason is pretty obvious.
Legal work is fundamentally about language, structure, research, and information processing—all areas where generative AI performs remarkably well.
This puts legal work directly in the blast radius of AI acceleration.
But where does AI actually move the needle for law firms, and how big is the upside?
This guide on generative AI for law firms breaks it all down.
Key takeaways
- Generative AI is quickly becoming standard in legal work
Law firms are adopting AI rapidly because legal work revolves around documents, research, language, and information processing. - The biggest benefit is time savings
AI dramatically reduces repetitive legal work like contract review, drafting, summarization, and legal research, freeing lawyers to focus on strategy and client work. - Contract review is one of the strongest AI use cases
AI can review contracts, surface risks, extract clauses, and summarize agreements in seconds instead of hours. - AI still requires human oversight
Generative AI can accelerate legal workflows, but lawyers still need to verify outputs, manage risk, and apply legal judgment. - AI-native firms like General Legal are already ahead of the curve
General Legal combines AI-assisted workflows with experienced attorneys to deliver faster contract review, drafting, negotiation, and legal operations support.
Generative AI for law firms: The current state of the industry
From rapid AI adoption rates to growing ethical concerns, here’s what the current state of the legal industry actually looks like.
⚡ Legal professionals are particularly enthusiastic about generative AI
According to Thomson Reuters’s 2025 Generative AI in Professional Services Report, 55% of professionals describe themselves as excited or hopeful about generative AI.
And this isn’t just theoretical optimism.
The legal industry is already demonstrating the strongest generative AI adoption rates among all surveyed professional sectors, with 28% of law firms using this technology and 14% of them planning to do so.
🔁 Legal professionals who adopt AI tend to use it constantly
As many as 72% of current generative AI users engage with it at least weekly, while more than 40% use it once or multiple times per day.
This kind of adoption curve usually only happens when a tool starts delivering meaningful operational leverage very quickly.
🧠 Generative AI is unusually well-suited for legal work
There’s a reason the legal industry adopted generative AI so quickly.
Large language models (LLMs) can read, analyze, summarize, and generate human-like text while recognizing patterns across massive amounts of information.
This makes them unusually effective in legal environments, where nearly every workflow depends on processing documents and context quickly and accurately.
Unlike traditional legal software, generative AI can adapt dynamically to context, tone, and subject matter instead of simply following rigid rules.
⚖️ AI still requires human judgment
Despite the excitement around generative AI, most legal professionals don’t see it as a replacement for lawyers.
Instead, they describe the AI output as a basic starting point that still requires meaningful human input and review.
And the risks of skipping that review are very real.
In one now-infamous case, lawyers submitted completely bogus case law generated by ChatGPT and got hit with a $5,000 fine after the judge discovered that the citations simply didn’t exist.
So, while AI might be exceptionally good at accelerating legal work, it still requires oversight from people who know what they’re doing.
That’s precisely the model behind General Legal—an AI-native law firm built around the idea that great lawyers equipped with AI can deliver legal services dramatically faster and more efficiently than traditional firms without sacrificing quality.
🛡️ The legal industry is still figuring out the rules around AI
AI adoption is moving faster than regulation, which is why 52% of organizations still don’t have any formal usage policies.
Still, the legal industry as a whole is drawing some hard ethical boundaries.
For example, in Formal Opinion 512, the ABA emphasized that lawyers remain fully responsible for competence, confidentiality, client communication, and oversight when using generative AI tools.
📣 Clients are starting to expect AI from their law firms
As many as 57% of clients expect the firms they work with to use generative AI.
And honestly, this figure makes sense.
After all, clients want faster turnaround times, lower friction, more predictable execution, and better economics.
AI has the potential to improve all four.
At the same time, clients are still cautious about confidentiality, accuracy, and oversight, which is why the firms pulling ahead aren’t the ones blindly automating everything.
They are the ones integrating AI thoughtfully into real legal workflows.
Generative AI for law firms: 10 practical use cases
Here are 10 real-world ways generative AI is already reshaping how modern law firms operate.
1. Automating contract review
Contract review is one of the clearest and most immediate use cases for generative AI in law firms.
The workload alone explains why.
Large organizations manage an average of 19,000 contracts per year—a workload labeled as challenging by as many as 99% of them.
Traditionally, contract review meant manually combing through massive volumes of legal language looking for risks, inconsistencies, obligations, and missing clauses.
This is slow, repetitive work that consumes enormous amounts of attorney time.
Generative AI can dramatically speed up this process.
Modern AI systems can review contracts in seconds, compare agreements, flag unusual language, and identify potential risks across large datasets.
Take General Legal as an example.
You can send over a contract through Slack, email, or the client portal.
AI agents handle the initial review—triaging, summarizing, and surfacing risk—while lawyers focus on the actual legal judgment.
This operational model allows contracts to move in hours instead of days.
This becomes especially valuable during due diligence and other high-volume workflows where legal teams operate under intense time pressure.
2. Conducting legal research
Traditionally, legal research involved associates spending hours digging through case law, filings, regulations, and secondary sources, trying to find the right authorities and arguments.
The process is slow and expensive, and it’s incredibly easy to miss something important.
Not with generative AI, though.
With it, you can:
- Analyze thousands of documents in seconds
- Surface relevant case law
- Summarize arguments
- Extract key facts
- Identify weaknesses in opposing positions
- Generate research summaries backed by citations
Unlike traditional keyword search tools, newer AI systems can understand meaning and context across large datasets.
This matters most in litigation and e-discovery, where teams often need to process enormous amounts of information under brutal time pressure.
3. Summarizing legal documents
Law firms deal with enormous amounts of text every day, and not every document needs a full manual review.
Generative AI can read and summarize lengthy contracts, filings, discovery materials, and internal documents in seconds, allowing legal teams to quickly understand what matters and what doesn’t.
4. Drafting briefs and legal memos
Generative AI isn’t just useful for reviewing and summarizing documents.
It can help draft them, too.
Well-developed AI systems can generate first drafts of briefs, legal memos, internal analyses, and other legal documents by pulling together relevant language and identifying useful authorities.
Instead of working from a blank page, lawyers can start from a structured draft and focus on the parts that actually require legal judgment.
5. Drafting contracts
Contract quality directly impacts risk allocation, negotiation leverage, enforceability, and the likelihood of future disputes.
With this in mind, the ABA identifies five core characteristics of excellent contract drafting:
Generative AI systems can support each of these drafting principles at scale.
They can identify missing provisions, flag inconsistent definitions, surface unusual language, suggest clearer phrasing, and compare drafts against large volumes of precedent agreements almost instantly.
As for accuracy—arguably the biggest concern when it comes to legal AI—legal-specific AI tools address it by pulling from trusted legal sources and citing supporting authority.
This allows lawyers to verify whether clauses align with current standards and prior agreements.
6. Producing legal correspondence
Generative AI can help lawyers draft emails, client communications, demand letters, and other day-to-day legal correspondence much faster, and 54% of them are already using AI for exactly that purpose.
AI tools can also suggest legally tested language, improve clarity, and help maintain consistent tone and formatting across these communications, reducing the amount of repetitive writing work lawyers handle manually.
7. Extracting contract data
Buried inside contracts is enormous amounts of operationally important information: payment obligations, renewal dates, indemnity clauses, termination rights, compliance requirements, and more.
Generative AI makes that information instantly searchable, allowing legal teams to pull key data across thousands of agreements without manually reviewing every page.
8. Preparing deposition questions
Depositions require lawyers to absorb huge amounts of information and identify where testimony may break down. All that under serious time pressure.
Generative AI can help lawyers move through this process faster by:
- Organizing case materials
- Surfacing inconsistencies
- Summarizing witness information
- Generating structured deposition questions based on the underlying record
9. Translating legal documents
Many legal environments operate across multiple languages, jurisdictions, and regulatory systems, which makes translation a much bigger legal workflow than most people realize.
Generative AI can help legal teams translate contracts, filings, and other legal documents much faster while preserving much of the underlying legal structure and context.
10. Managing legal spend
Legal work is expensive, and most companies still have surprisingly little visibility into where that money actually goes.
Generative AI can support legal spend management by:
- Analyzing invoices
- Tracking spending patterns
- Benchmarking outside counsel costs
- Identifying non-compliant billing entries
- Surfacing opportunities to reduce unnecessary spend
These capabilities are highly beneficial for high-volume legal departments trying to control costs without slowing down legal operations.
Generative AI for law firms: Key benefits
The clearest benefit of generative AI is the amount of time it gives lawyers back.
Within the next five years, this amount could be up to 12 hours per week.
How is this possible?
Because a huge percentage of legal work consists of high-volume cognitive tasks that are important but repetitive.
Generative AI accelerates this work by:
- Reviewing and summarizing documents in seconds
- Surfacing clauses, risks, and inconsistencies instantly
- Speeding up legal research and precedent analysis
- Automating repetitive drafting and formatting work
- Organizing large datasets and discovery materials
- Tracking obligations, deadlines, and contract terms automatically
And the impact goes beyond efficiency alone.
With less time spent on repetitive operational work, lawyers can invest more time in strategy, negotiation, client relationships, and judgment-heavy work that actually creates value.
Faster workflows also translate directly into better client responsiveness—a major advantage in an industry where speed often matters almost as much as legal quality itself.
Other notable benefits of generative AI for law firms include:
One of the biggest long-term implications of generative AI is what it means for the traditional billable hour model.
Today, roughly 80% of legal fee arrangements are still based on billable hours.
But once AI starts dramatically reducing the time required for specific legal workflows, this model will become harder to justify.
AI-native firms like General Legal are already adapting to the new normal.
Instead of billing unpredictable associate hours, the firm uses upfront flat-fee pricing built around faster AI-assisted workflows.
This is a major shift for an industry that has historically monetized time instead of efficiency.
Generative AI for law firms: Why AI-native firms are winning
Generative AI clearly has enormous potential for legal work.
But the concerns around it are real, too.
Hallucinated citations, inaccurate outputs, confidentiality risks, and blind overreliance on AI systems are exactly why many firms still struggle to adopt the technology confidently.
The problem is not AI itself.
The problem is using AI without proper legal oversight, operational workflows, or domain expertise.
That is where AI-native firms like General Legal are starting to separate themselves from traditional firms merely experimenting with AI tools.
General Legal was built around AI-assisted legal workflows from day one.
In practice, this means that clients get the upside of AI without the chaos that comes from blindly outsourcing legal work to ChatGPT or bolting generic AI tools onto outdated law firm workflows.
Through General Legal, companies can access AI-accelerated legal services for:
- Contract review and redlining, including commercial agreements, vendor contracts, NDAs, and employment documents
- Full contract negotiation support, including counterparty negotiations and unlimited redline turns
- Drafting legal documents from scratch, including MSAs, DPAs, BAAs, Terms of Service, Privacy Policies, and SAFEs
- High-volume agreement review and contract workflow support for teams handling large contract volumes
- Legal research and sourced analysis for specific legal questions and operational decisions
- Legal operations support, including contract playbooks and workflow optimization
- Ongoing collaboration with legal counsel directly through Slack or the client portal
Want to see what AI-native legal work actually looks like?
Sign up online immediately to join the hundreds of growth-stage companies already using General Legal for faster contract review, drafting, negotiation, and legal operations support.
If you have additional questions about workflows, pricing, or supported legal matters, contact the General Legal team directly.
FAQ
How is Gen AI used in law firms?
Law firms use generative AI for contract review, legal research, document summarization, drafting, negotiation analysis, legal correspondence, and legal operations workflows.
Do BigLaw firms use AI?
Yes. Most large law firms are actively testing or deploying AI tools to improve productivity, accelerate workflows, and reduce repetitive manual work.
Is Claude or ChatGPT better for lawyers?
It depends on the workflow. Many legal professionals prefer Claude for long-document analysis and drafting, while ChatGPT is often used for broader research, brainstorming, and workflow automation. That said, neither tool should be relied on without legal oversight or verification of the output.