Blog
Writing from the Codira ESQ team on litigation, evidence and building the record.
AI Orchestration
Telling lawyers to check their work is correct but insufficient. Generative AI errors include real cases cited for propositions they do not hold and record summaries that misstate testimony. Verification should be built into the system, with every assertion traceable to its source.
· 9 min read
The End of Information Overload: How AI Can Help Attorneys Master Complex Cases
Technology-assisted review sorts documents, but it does not assemble a case. This post explains how AI tools can build chronologies and witness maps from large productions, why their outputs must be verified, and which professional duties govern their use.
· 8 min read
The Future Belongs to Firms That Combine Human Judgment with Machine Intelligence
Rule 11, Rule 26(g), and the ABA Model Rules leave verification and judgment with the lawyer. This post argues that firms should assign AI the tasks whose output can be checked, keep strategy and privilege calls with lawyers, and rebuild training and billing accordingly.
· 8 min read
From Evidence to Intelligence: How AI Is Transforming Litigation Strategy
Software that links emails, ledgers, chats, and testimony can show a litigation team its record months earlier. This post explains how that timing shapes discovery, depositions, motions, and settlement, and why verification remains the lawyer's job.
· 9 min read
The Problem with Legal AI Hallucinations—and Why Verification Must Be Built into the System
Fabricated and mischaracterized citations reach filings because review happens at the end, when attention is shortest. Sources linked to each proposition, deterministic cite and quotation checks, and a written record of who verified what make the signing lawyer's Rule 11 inquiry workable.
· 8 min read
Artificial Intelligence Will Not Replace Lawyers. But It Will Change What Makes a Great Lawyer.
AI can now review documents, summarize transcripts, and draft discovery requests, while the lawyer remains accountable for every output. As processing becomes cheap, strategic judgment and verification become the scarce inputs, with consequences for how firms train and charge.
· 10 min read
The AI-Native Law Firm: Rethinking Legal Practice from the Ground Up
If software can draft most written work product, a litigation practice must reorganize around review. This post examines how existing duties under the Model Rules and Rules 11 and 26 shape verification, data governance, associate training, and pricing in an AI-native firm.
· 9 min read
Beyond the Chatbot: Why the Next Generation of Legal AI Will Be Agentic
Agentic AI systems divide litigation tasks such as a motion to compel among specialized components. Using an illustrative discovery dispute, this post explains where attorney review must sit, what the ABA Model Rules and Rule 11 require, and why privilege questions remain unsettled.
· 9 min read
Legal Ethics + AI: The New Rules Every Attorney Must Understand
Formal Opinion 512 treats generative AI under the Model Rules lawyers already know. This post works through competence, confidentiality and privilege, candor after Mata v. Avianca, supervision, billing under Rule 1.5, and client disclosure, and sets out what a firm AI policy should cover.
· 23 min read