You’re using AI. Why isn’t it paying off?
Our 2026 report calls it the “efficiency paradox,” and most solo practitioners and small firms are living with it. Ask about AI itself and you’ll hear that it’s improved the quality of the work, cut down the tedious parts of the day, and helped them get back
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Inside Berkeley Law’s New AI Policy, and What It Means for Legal Education
What Berkeley Law’s AI policy prohibits, and what it allows
Berkeley didn’t ban AI. As a matter of policy, it made the use of AI prohibited as a default rule for almost every part of a student’s substantive work. Here’s the rule itself:
“The use of AI is prohibited for aid in conceptualizing, outlining, drafting,…
Secure Document Shredding for Law Firms
Why law firms need secure document shredding
Law firms handle some of the most sensitive information in any profession, including personally identifiable information (PII), financial records, medical details, and privileged communications. Protecting this information is a fundamental ethical and professional obligation. When physical documents are no longer needed, they must be disposed of securely.
But…
MSO Law Firm Deals Are Rising Fast, but Is One Right for Your Practice?
What is an MSO law firm structure, exactly?
An MSO law firm consists of a split-entity structure designed to work around a state’s RPC Rule 5.4’s prohibition on nonlawyer ownership of law firms. In the typical law firm MSO structure, the attorneys retain full ownership of the legal practice: the entity that holds client engagements,…
How to Have Performance Conversations That Actually Develop Your Law Firm Team
Why traditional law firm performance reviews fall short
Annual performance reviews can be stale, vague, and a surprise to staff. Part of the problem comes down to cadence. Most law firm performance reviews still revolve around a single annual conversation, but performance doesn’t operate on a once-a-year timeline.
In many firms, six or even 12…
Why Working Faster Isn’t Making Your Solo Practice More Profitable (And What to Do About It)
Solo and small law firm AI adoption: Why revenue gains are lagging
Day-to-day, the picture in most smaller firms is encouraging. The 2026 Legal Trends for Solo and Small …
How AI Is Becoming a Powerful Employee Retention Strategy for Mid-Sized Law Firms
The real cost of turnover in mid-sized law firms
The most difficult reality of law firm attrition is that it’s expensive. The American Bar Association estimates that employee turnover costs law firms between $200,000 and $500,000 per lawyer. That’s taking into account recruiting fees, onboarding, lost billable hours during transition, disrupted client relationships, and…
AI Hallucinations in Legal Filings: How to Avoid Them and What to Do When You Find Them
What AI hallucinations in law actually are
In a legal context, AI hallucinations are one of two things. They’re either citations to cases or statutes that don’t exist, or citations to real authorities for propositions those authorities don’t actually support.
The first kind is the one making headlines. A lawyer or pro se litigant uses…
Why Cloud Solutions Are the Foundation for AI in Law Firms
On the surface, AI adoption is high and firms are thriving
Mid-sized law firms appear to be ahead on AI maturity. Most have gone beyond simply trying out the technology; instead, they’ve taken a more deliberate, structured approach, with 60% establishing formal AI policies, and 38% actively encouraging staff to use AI in their…
Expanding the Frontier of Legal Agentic Work: GPT-5.5 Support in Clio Work and Vincent
With the launch of OpenAI’s GPT-5.5, we are upgrading every Clio Work and Vincent customer to the new model for agentic work and document drafting. The upgrade sets a new bar for what Clio’s AI can do on substantive legal tasks, and is the foundation for the next wave of autonomous legal capability we are…
How Lawyers Use AI to Boost Billable Hours and Improve Work-Life Balance
Research: productivity and well-being
Recent research suggests a strong link between productivity and well-being. If lawyers are inefficient, they tend to spend more time on low-value tasks and are more likely to feel overwhelmed and burn out.
At the same time, law firm AI adoption is accelerating, particularly among mid-sized firms. While burnout and…
Courts Are Starting to Pick AI Tool Winners: Breaking Down Morgan v. V2X Inc.
The facts behind Morgan v. V2X Inc.
The defendant, V2X, sought a protective order before discovery even began. They asked the court to require certain protections over information labeled by parties as confidential. Those protections included deletion requirements and accountability measures for the plaintiff.
The court granted a standard protective order. If information is labeled…
What ABA TECHSHOW 2026’s Startup Alley Tells Us About Where Legal Tech Is Going
From chatbots to agentic AI in legal technology
Chatbots are easy to adopt. Lawyers have told us that. But there’s a long way between typing a question into a chat window and getting something you can actually file, send, or hand to a client. You still have to know what to ask, how to sequence…
Legal Pricing Strategies for Law Firms: From Billable Hours to Data-Driven Pricing
Why the billable hour alone no longer works
Let’s be honest: The billable hour has always been a leaky bucket. While it’s treated as the gold standard for legal pricing strategies, only a fraction of recorded hours actually becomes collected cash.
Lawyers face losses at multiple points in the revenue funnel, across utilization, realization,…
Why Legal AI Fails Without Context
Context is the foundation of useful legal AI
The most important information in a legal case lives across the matter and the firm: the documents, the emails, the timeline, the jurisdiction, the client’s history, and the firm’s own work product. Legal AI without access to all of it is working blind, only as good as…
How to Summarize Legal Documents With AI: Tools, Risks, and Workflow Best Practices
Can AI summarize legal documents?
The short answer is yes: Among AI’s best use cases in law is summarizing legal documents. It isn’t, however, foolproof, and its performance depends largely on the chosen tool. Any tool’s capabilities and limitations are best understood by viewing legal AI summarization as a spectrum:
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