The first few years of legal AI were dominated by platform plays. Tools like Harvey and Legora raised hundreds of millions and promised big productivity gains in drafting, summarisation, research, matter tracking, and more. They’ve shown that AI has a real place in law. At this point, having some form of legal AI in your firm is close to table stakes.
But productivity gains are not the same as competitive advantage. The next phase of legal AI is about specialisation. Just as the profession itself is divided into litigation, corporate, real estate, patents, and many other practices, the tools that help win cases will be bespoke to each of those areas. We’re already seeing this: think Orbital in real estate and Solve Intelligence in patents (and, of course, Wexler in litigation). Each is built around the workflows, judgment, and fact patterns that define its field, rather than retrofitted from a generalist model.
Litigation is a uniquely complex area of practice. Fact patterns constantly change as evidence is tested. The skills litigators develop over decades, from mapping contradictions to building timelines and testing narratives, can’t be bolted onto a generalist system. They need a platform designed for the job.
Wexler: find all the facts
Designed by litigators for litigation, Wexler extracts, verifies, and challenges facts, then connects them into a usable record. It pulls out who did what, when, and how across documents and testimony, builds chronologies that link back to sources, and maps the relationships between people and events.
It can find contradictions across the record and (uniquely) flag them live in depositions or hearings. That makes it possible to test testimony against the documentary evidence in real time. Analysis is always verifiable, which keeps you in control of how the case is built.
Litigation fact patterns are not formulaic. They are diffuse, messy, and often inconsistent. Wexler is built for that reality.
Fact intelligence, a new category of legal AI
Generalist AI: broad coverage, lighter depth
Harvey, CoCounsel (Thomson Reuters), and Legora sit in the generalist camp. They aim to cover a wide slice of legal work with drafting, summarisation, deep search, research assistance, and matter coordination layered with generative AI.
Harvey is the best known of these platforms. CoCounsel has been relaunched by Thomson Reuters with agentic “guided” workflows and research tied to Westlaw and Practical Law content. Legora is now a firm-wide AI workspace for research and drafting.
Many law firms now have some version of these platforms. They can help you improve drafts faster, distil datasets, put research in context, and various other tasks.
eDiscovery: document review at scale
Relativity and Everlaw have long been the go-to systems for large-scale disclosure (discovery), and Syllo is a new contender in that space. These platforms are great at managing documents. They process, de-duplicate, search, and tag huge volumes of material, and they make it possible to code and produce documents at scale.
What you get from them are coded review sets, production volumes, and review metrics. They keep disclosure (discovery) moving and consistent, which is essential in document heavy matters. Their impact is operational: they make large-scale disclosure manageable and enable mass triage and categorisation of ESI (Electronically Stored Information).
Other litigation-adjacent tools: focused components
Clearbrief specialises in evidence-linked writing inside Word, with instant hyperlinking, fact-checking, and timeline features that have featured in recent case wins. Fileread is an AI document-review and digest layer and has expanded partnerships with ALSPs. Lex Machina remains the benchmark for judge, court, and outcome analytics and now layers a generative assistant (“Protégé”) over its structured datasets.
Use these where you need sharper briefs, faster digests, or venue and motion strategy, respectively.
Why Wexler is different
Wexler is a fact-intelligence platform that extracts who-did-what-when-how across sources, building source-linked chronologies, mapping relationships, and flagging contradictions, including real-time inconsistency checks during depositions and hearings. Our verification-first workflow is designed to keep you in control of the factual record, rather than just the document set.
In every dispute, Wexler gives you the biggest advantage.
The only platform that gives you the facts
AI is well-suited to law because of its text-heavy nature. It has already changed transactional work, contract drafting, summarisation, and research (although well-known cases of made-up case law and precedent show it’s no silver bullet).
Law has always been divided by specialism. Corporate lawyers don’t run competition cases and family lawyers don’t draft merger agreements. Generalist AI platforms improve productivity across a firm, but disputes need something designed for the job.
That’s because litigation is one of the most complex and manual areas of legal practice. Bundles run into thousands of pages and costs escalate fast. Fact patterns don’t arrive in neat categories. They are fragmented, inconsistent, and constantly shifting as evidence is tested. Managing documents or producing drafts doesn’t solve that problem.
You’ll find most legal AI platforms are formulaic. eDiscovery tools process documents in batches, general legal AI platforms generate drafts and summaries, and specialist add-ons sharpen individual steps in the workflow. But the market rewards the best. Clients pay a premium for the best litigation teams, and the same principle applies to technology. Purpose-built platforms will always deliver more value than retrofitted ones.
Wexler was designed for litigators from day one. Built around the fact patterns and contradictions that define disputes, it extracts, verifies, and connects facts, builds the record as it develops, and keeps litigators in control of the analysis. In disputes, only Wexler has the capacity to handle all of the facts.
Firms including Clifford Chance, Goodwin, Addleshaw Goddard and HSF Kramer use Wexler. Get your facts straight, at scale, with AI built for complex disputes. Get a demo.