It's the "Use Case", Genius!
Rational Application of AI (to Data Applications) in Law Practice
It is a truism [* see below Data]
About 70-80% of the work of the attorney involves data operations.
Not research.
And yet the thrust of the first wave of AI in Law has been research function.
We humans are simple cause and effect tool using and applying creatures. We need to receive an understanding of what things are for. This understanding can come from reality, or from what we hear or are told.
So for the majority of lawyers I speak with daily, when I say “AI for Law”, their minds immediately go to “research.”
In the mind of the lawyer presently, when thinking of AI function, the application for AI in Law is to Research things. They think ChatGPT, Gemini, Claude, Grok…and also Harvey, CoCounsel …
But, all in all, the majority of lawyers think, “AI is for researching law.”
LLMs for Research has been the first modern stage/wave of applying AI in law practice.
Marvelous and exciting, so much information at our fingertips.
Yet the threads are beginning to show.
Use of overlarge mostly-non-legal datasets in databases which most of the LLMs and the wrappers atop them train on and use...
False case citations -- sudden havoc in practices and in practitioners.
“Blind-sided” when a filing the litigator signed (prepared by a drafting attorney/assistant -- a quite a common/standard practice in litigation) results in sudden catastrophic failure in open court and black and white court record of professional shame and recrimination.
More doubt raised yet by “AI Cite Checkers,” many still built upon majority non-legal datasets / results sometimes great / sometimes incorrect / and so the practitioner does not know for sure -- without yet another layer of checking.
We are not on to automated drafting of anything with AI yet -- contract nor complaint.
And yet daily weekly monthly the vicissitudes of law practice --- the minutiae “meat of our days” work” -- data operations -- remain neglected among so many shiny gadgets and supposedly “transforming systems”.
Guys, data function
is a more efficacious
application of AI in Law
than research.
This may not be the case tomorrow.
Yet it remains the case now.
Even if the market has not caught up.
And many do not want overbearing systems to tamper with their carefully choreographed SOFTWARE and DATA OPERATIONS of their law firm and corporate infrastructure.
Too expensive, too much to risk. Too much work already perfecting the delicate balance of stable data and software operations -- these are digital china shops and AI is the bull -- magnificent strength, multi-perilous possibilities.
For these reasons and more, why not apply AI instead to the 70-80% of the work we lawyers do?
Why not do it in parallel -- make it a la carte instead of systems embedding?
Why not accelerate the daily minute by minute work the attorney is doing -- by empowering attorney to direct it completely (”toggle on / toggle off”) apply here, do not apply there, bring in, leave out? Click on LLM. Click on/off Internet.
Two years ago this mission of Jurisphere AI began.
The first dataops ai o/s for law and corporate.
Guys, it has been a smashing summer. Over 500+ happy B2B clients, 15,000+ lawyers and growing later we have learned we do best by partnering the most — not selling fixed systems.
Instead of telling the lawyer what they can do with our system, we let the attorney tell us what they do, and build bespoke if necessary for the use cases -- as individual and particular as attorneys themselves -- worldwide.
This is how our functions have been built; for lawyers, by lawyers.
It is a “new look” for AI but one which is proving efficacious, reasonable in cost, maximally flexible — a most reliable and stable application of AI in this present age of the Epoch of AI in Law and AI as Law — for data operations.
We do not seek to give you wisdom but time. We know you have the wisdom already.
Yet time, the most precious commodity in life, more valuable than money itself -- more time gives you new Life. And there is no price to that.
*——*
THE DATA.
BREAKING DOWN THE “USE CASE” FOR AI APPLICATION TO DATA OPERATIONS IN LAW INSTEAD OF RESEARCH FUNCTION
Let’s look at the daily workload of the attorney (harmonized for whether they be litigation or transactional):
Legal Research: Investigating statutes, case law, regulations, and legal precedents to support cases or provide advice.
Category: (a) Legal Research
Estimated Workload: 18%
Drafting Legal Documents: Creating contracts, pleadings, motions, briefs, wills, trusts, or other legal instruments from scratch.
Category: (b) Data Operations
Estimated Workload: 14%
Reviewing Legal Documents: Examining contracts, agreements, or court filings to ensure accuracy, compliance, and alignment with client goals.
Category: (b) Data Operations
Estimated Workload: 14%
Editing Legal Documents: Revising and refining drafts of legal documents for clarity, precision, and legal soundness.
Category: (b) Data Operations
Estimated Workload: 9%
Client Consultations: Meeting with clients to discuss case details, provide legal advice, or strategize case approaches.
Category: (c) Real World Operations
Estimated Workload: 9%
Case File Review: Analyzing case files, evidence, and documentation to prepare for hearings, trials, or negotiations.
Category: (b) Data Operations
Estimated Workload: 9%
Reviewing Client Materials: Examining documents, records, or other materials provided by clients to assess relevance, accuracy, or legal implications.
Category: (b) Data Operations
Estimated Workload: 8%
Reviewing Opposing Party Materials: Analyzing documents, discovery responses, or evidence submitted by opposing parties to identify strengths, weaknesses, or strategic opportunities.
Category: (b) Data Operations
Estimated Workload: 8%
Court Appearances and Advocacy: Representing clients in court, presenting arguments, examining witnesses, or filing motions.
Category: (c) Real World Operations
Estimated Workload: 9%
Negotiation and Settlement Discussions: Engaging in discussions with opposing counsel or parties to resolve disputes or finalize agreements.
Category: (c) Real World Operations
Estimated Workload: 7%
Legal Correspondence: Drafting and responding to letters, emails, or memos related to legal matters, such as demand letters or discovery requests.
Category: (b) Data Operations
Estimated Workload: 6%
Due Diligence: Conducting thorough investigations, such as title searches or background checks, to verify facts or assess risks in transactions.
Category: (a) Legal Research
Estimated Workload: 5%
Aggregate Percentages by Category
(a) Legal Research: 18% (Legal Research) + 5% (Due Diligence) = 23%
(b) Data Operations: 14% (Drafting Legal Documents) + 14% (Reviewing Legal Documents) + 9% (Editing Legal Documents) + 9% (Case File Review) + 8% (Reviewing Client Materials) + 8% (Reviewing Opposing Party Materials) + 6% (Legal Correspondence) = 68%
(c) Real World Operations: 9% (Client Consultations) + 9% (Court Appearances and Advocacy) + 7% (Negotiation and Settlement Discussions) = 25%
= Data Operations form the bulk of the work of attorney at some 68% and more.
It should also be noted that having the large and immediate command over particular documents and datasets that Jurisphere provides also greatly accelerates ”Real World Applications”.
Some examples from the concrete use cases of lawyers:
Ability to instantly review client documents for consultations in moments
Summaries. Ability to go to Client Consult meeting with all of their materials summarized with the criteria lawyer decided was appropriate under the circumstances
Transcription of sometimes “ugly” client documents into cogent text for ease of review and joint review with Client; parsing, indexing, organizing these.
Translation of non-English documents into English, parsing indexing and organizing these.
Collated content into memoranda (By time (e.g.), By amounts monetary or otherwise, By Companies, By Events, By Persons, By Fact or Facts) supremely and easily enhances the “real world” work of the litigator in the courtroom.
Data indexes. Settlement negotiations are accelerated and enhanced by having the relevant documents indexed and compared to current, prior, offers or other proposals or facts introduced.
Enhanced Redline Analysis. Speeds and enhances effectiveness of negotiations with a data management feature like Redline Analysis which categorizes and ranks document edits in real time and historic to give the best more accurate current sense of working drafts and various parties (including their staff) positions and actions.
These applications of new AI data operations made possible by Jurisphere tips the percentage of efficacious application near and sometimes beyond the 80% lever of the task which we lawyers actually do.
= Rendering the thesis that AI application to DataOps is a superior use case for AI in Law than the dominant “for research” modality more or less proven. And finally, since we are building every week, these use cases will only continue to grow and expand, refine and multiply, on a going forward basis.